Variable Viscosity and Density Biofilm Simulations using an Immersed Boundary Method, Part II: Experimental Validation and the Heterogeneous Rheology-IBM


Variable aggregation for nonlinear optimization problems


Variable elimination, graph reduction and efficient g-formula


Variable importance for causal forests: breaking down the heterogeneity of treatment effects


Variable importance measures for heterogeneous causal effects


Variable selection in balance regression with applications to microbiome compositional data


Variable selection in convex nonparametric least squares via structured Lasso: An application to the Swedish electricity distribution networks


Variable selection in convex quantile regression: L1-norm or L0-norm regularization?


Variable selection in social-environmental data: Sparse regression and tree ensemble machine learning approaches


Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression


Variable selection with missing data in both covariates and outcomes: Imputation and machine learning


Variable star classification across the Galactic bulge and disc with the VISTA Variables in the Vía Láctea survey


Variable-Agnostic Causal Exploration for Reinforcement Learning


Variable-Based Calibration for Machine Learning Classifiers


Variable-Length Feedback Codes via Deep Learning


Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications


Variance Control for Distributional Reinforcement Learning


Variance Control via Weight Rescaling in LLM Pre-training


Variance Minimization in the Wasserstein Space for Invariant Causal Prediction


Variance Penalized On-Policy and Off-Policy Actor-Critic


Variance Reduced Local SGD with Lower Communication Complexity


Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory


Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning


Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization


Variance Reduction for Metropolis-Hastings Samplers


Variance Reduction for Score Functions Using Optimal Baselines


Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top


Variance Reduction of Resampling for Sequential Monte Carlo


Variance Reduction via Simultaneous Importance Sampling and Control Variates Techniques Using Vegas


Variance Tolerance Factors For Interpreting ALL Neural Networks


Variance and covariance of distributions on graphs


Variance component score test for time-course gene set analysis of longitudinal RNA-seq data


Variance estimation for Sequential Monte Carlo Algorithms: a backward sampling approach


Variance estimation for logistic regression in case-cohort studies


Variance partitioning in spatio-temporal disease mapping models


Variance prior forms for high-dimensional Bayesian variable selection


Variance reduction for Markov chains with application to MCMC


Variance reduction techniques for stochastic proximal point algorithms


Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits


Variance-Aware Machine Translation Test Sets


Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits


Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies


Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models


Variance-based regularization with convex objectives


Variance-reduced Clipping for Non-convex Optimization


Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems


Variantional autoencoder with decremental information bottleneck for disentanglement


Variation Network: Learning High-level Attributes for Controlled Input Manipulation


Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression


Variation across Scales: Measurement Fidelity under Twitter Data Sampling


Variation of stability for moduli spaces of unordered points in the plane


Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models


Variational Annealing on Graphs for Combinatorial Optimization


Variational Approach to Quantum Spin Liquid in a Rydberg Atom Simulator


Variational Approximation Error in Bayesian Non-negative Matrix Factorization


Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting


Variational Augmentation for Enhancing Historical Document Image Binarization


Variational Auto-Regressive Gaussian Processes for Continual Learning


Variational AutoEncoder for Reference based Image Super-Resolution


Variational Autoencoder for Anomaly Detection: A Comparative Study


Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation


Variational Autoencoder with Implicit Optimal Priors


Variational Autoencoder with Learned Latent Structure


Variational Autoencoders for Anomalous Jet Tagging


Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions


Variational Autoencoders for Jet Simulation


Variational Autoencoders for Sparse and Overdispersed Discrete Data


Variational Autoencoding of Dental Point Clouds


Variational Bandwidth Auto-encoder for Hybrid Recommender Systems


Variational Bayes for Federated Continual Learning


Variational Bayes for high-dimensional proportional hazards models with applications within gene expression


Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices


Variational Bayesian Bow tie Neural Networks with Shrinkage


Variational Bayesian Context-aware Representation for Grocery Recommendation


Variational Bayesian Decision-making for Continuous Utilities


Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter- and Intra-Individual Heterogeneity


Variational Bayesian Neural Networks via Resolution of Singularities


Variational Bayesian Personalized Ranking


Variational Bayesian Weighted Complex Network Reconstruction


Variational Bayesian hierarchical regression for data analysis


Variational Benchmarks for Quantum Many-Body Problems


Variational Causal Networks: Approximate Bayesian Inference over Causal Structures


Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference


Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space


Variational Control for Guidance in Diffusion Models


Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills


Variational Data Assimilation with a Learned Inverse Observation Operator


Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations


Variational Depth from Focus Reconstruction


Variational Diffusion Posterior Sampling with Midpoint Guidance


Variational Disentanglement for Rare Event Modeling


Variational Disparity Estimation Framework for Plenoptic Image


Variational Dynamic Programming for Stochastic Optimal Control


Variational Embeddings for Community Detection and Node Representation


Variational Embeddings for Many Body Quantum Systems


Variational Evolutionary Network for Statistical Physics Systems


Variational Extrapolation of Implicit Schemes for General Gradient Flows


Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems


Variational Fourier features for Gaussian processes


Variational Gaussian Process Diffusion Processes


Variational Gaussian filtering via Wasserstein gradient flows


Variational Generative Stochastic Networks with Collaborative Shaping


Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data


Variational Gibbs State Preparation on NISQ devices


Variational Graph Generator for Multi-View Graph Clustering


Variational Graph Normalized Auto-Encoders


Variational Graph Recurrent Neural Networks


Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling


Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation


Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing


Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN


Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings


Variational Inference for Infinitely Deep Neural Networks


Variational Inference for Learning Representations of Natural Language Edits


Variational Inference for Longitudinal Data Using Normalizing Flows


Variational Inference for Neyman-Scott Processes


Variational Inference for Sparse Gaussian Process Modulated Hawkes Process


Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs


Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix


Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study


Variational Inference on the Boolean Hypercube with the Quantum Entropy


Variational Inference on the Final-Layer Output of Neural Networks


Variational Inference with Continuously-Indexed Normalizing Flows


Variational Inference with Coverage Guarantees in Simulation-Based Inference


Variational Inference with Latent Space Quantization for Adversarial Resilience


Variational Inference with Mixtures of Isotropic Gaussians


Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models


Variational Inference with Numerical Derivatives: variance reduction through coupling


Variational Inference with Tail-adaptive f-Divergence


Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration


Variational Information Bottleneck for Effective Low-Resource Fine-Tuning


Variational Information Maximization for Feature Selection


Variational Integrator Networks for Physically Structured Embeddings


Variational LOCC-assisted quantum circuits for long-range entangled states


Variational Lang-Firsov approach plus Møller-Plesset perturbation theory with applications to ab initio polariton chemistry


Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains


Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systems


Variational Learning for Unsupervised Knowledge Grounded Dialogs


Variational Learning is Effective for Large Deep Networks


Variational Learning of Euler-Lagrange Dynamics from Data


Variational Learning of Individual Survival Distributions


Variational Linearized Laplace Approximation for Bayesian Deep Learning


Variational Low-Rank Adaptation Using IVON


Variational Message Passing with Structured Inference Networks


Variational Metric Scaling for Metric-Based Meta-Learning


Variational MineGAN: A Data-efficient Knowledge Transfer Architecture for Generative AI-assisted Design of Nanophotonic Structures


Variational Mixture of HyperGenerators for Learning Distributions Over Functions


Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models


Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics


Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting


Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting


Variational Model Perturbation for Source-Free Domain Adaptation


Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks


Variational Monte Carlo with Large Patched Transformers


Variational Multi-Phase Segmentation using High-Dimensional Local Features


Variational Multi-Task Learning with Gumbel-Softmax Priors


Variational Neural Discourse Relation Recognizer


Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts


Variational Physics-informed Neural Operator (VINO) for Solving Partial Differential Equations


Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models


Variational Pretraining for Semi-supervised Text Classification


Variational Prototype Replays for Continual Learning


Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images


Variational Quantum Algorithms for Combinatorial Optimization


Variational Quantum Algorithms for Semidefinite Programming


Variational Quantum Anomaly Detection: Unsupervised mapping of phase diagrams on a physical quantum computer


Variational Quantum Approximate Support Vector Machine with Inference Transfer


Variational Quantum Circuits for Deep Reinforcement Learning


Variational Quantum Eigensolver for SU($N$) Fermions


Variational Quantum Harmonizer: Generating Chord Progressions and Other Sonification Methods with the VQE Algorithm


Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks


Variational Quantum Optimization with Continuous Bandits


Variational Quantum Simulation of the Fokker-Planck Equation applied to Quantum Radiation Reaction


Variational Quantum State Diagonalization


Variational Quantum-Neural Hybrid Error Mitigation


Variational Quanvolutional Neural Networks with enhanced image encoding


Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation


Variational Recurrent Models for Solving Partially Observable Control Tasks


Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift


Variational Saccading: Efficient Inference for Large Resolution Images


Variational Sequential Labelers for Semi-Supervised Learning


Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery


Variational Solvers for Irreversible Evolutionary Systems


Variational Sparse Coding with Learned Thresholding


Variational Stochastic Gradient Descent for Deep Neural Networks


Variational Template Machine for Data-to-Text Generation


Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning


Variational Umbrella Seeding for Calculating Nucleation Barriers


Variational Uncalibrated Photometric Stereo under General Lighting


Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net


Variational Weakly Supervised Sentiment Analysis with Posterior Regularization


Variational Weighting for Kernel Density Ratios


Variational adiabatic transport of tensor networks


Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems


Variational approach to rare event simulation using least-squares regression


Variational augmentation of Gaussian continuum basis sets for calculating atomic higher harmonic generation spectra


Variational auto-encoders with Student's t-prior


Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling


Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias


Variational certification of quantum devices


Variational conditional normalizing flows for computing second-order mean field control problems


Variational construction of tubular and toroidal streamsurfaces for flow visualization


Variational counterdiabatic driving of the Hubbard model for ground-state preparation


Variational deep learning of equilibrium transition path ensembles


Variational design of sensory feedback for powerstroke-recovery systems


Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry


Variational inference for correlated gravitational wave detector network noise


Variational inference for cutting feedback in misspecified models


Variational inference for hierarchical models with conditional scale and skewness corrections


Variational inference for max-stable processes


Variational inference of effective range parameters for ${}^3$He-${}^4$He scattering


Variational inference via Wasserstein gradient flows


Variational message passing for online polynomial NARMAX identification


Variational methods for simulation-based inference


Variational multiple shooting for Bayesian ODEs with Gaussian processes


Variational multiscale modeling with discretely divergence-free subscales: Non-divergence-conforming discretizations


Variational online learning of neural dynamics


Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations


Variational optimization of the amplitude of neural-network quantum many-body ground states


Variational quantization for state space models


Variational quantum algorithm based on the minimum potential energy for solving the Poisson equation


Variational quantum iterative power algorithms for global optimization


Variational quantum solutions to the Shortest Vector Problem


Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization


Variational time reversal for free energy estimation in nonequilibrium steady states


Variational zero-inflated Gaussian processes with sparse kernels


Variationally Regularized Graph-based Representation Learning for Electronic Health Records


Variationist: Exploring Multifaceted Variation and Bias in Written Language Data


Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules


Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation


Varifocal Question Generation for Fact-checking


Varuna: Scalable, Low-cost Training of Massive Deep Learning Models


Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only


Varying-coefficient stochastic differential equations with applications in ecology


VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images


Vashantor: A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language


VastTrack: Vast Category Visual Object Tracking


Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter


VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field


Vaxformer: Antigenicity-controlled Transformer for Vaccine Design Against SARS-CoV-2


VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter


VcT: Visual change Transformer for Remote Sensing Image Change Detection


Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement


VeHIF: An Accessible Vegetation High-Impedance Fault Data Set Format


VeLO: Training Versatile Learned Optimizers by Scaling Up


VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections


VeREFINE: Integrating Object Pose Verification with Physics-guided Iterative Refinement


VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning


VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs


VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change


VeSPA: The SuperWASP Variable Star Photometry Archive


VeST: Very Sparse Tucker Factorization of Large-Scale Tensors


Veagle: Advancements in Multimodal Representation Learning


Vec2Instance: Parameterization for Deep Instance Segmentation


Vec2Sent: Probing Sentence Embeddings with Natural Language Generation


VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs


VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions


VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization


Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data


Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision


Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild


Vector Embedding of Wikipedia Concepts and Entities


Vector Field Attention for Deformable Image Registration


Vector Field-based Collision Avoidance for Moving Obstacles with Time-Varying Elliptical Shape


Vector Ontologies as an LLM world view extraction method


Vector Optimization with Gaussian Process Bandits


Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding


Vector Quantisation for Robust Segmentation


Vector Quantization Prompting for Continual Learning


Vector Quantization for Recommender Systems: A Review and Outlook


Vector Quantized Contrastive Predictive Coding for Template-based Music Generation


Vector Quantized Diffusion Model for Text-to-Image Synthesis


Vector Quantized Time Series Generation with a Bidirectional Prior Model


Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds


Vector and Line Quantization for Billion-scale Similarity Search on GPUs


Vector fields as a framework for modelling the mobility of commodities


Vector graphics extraction and analysis of electrical resistance data in Nature volume 586, pages 373-377 (2020)


Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation


Vector operations for accelerating expensive Bayesian computations -- a tutorial guide


Vector quantization loss analysis in VQGANs: a single-GPU ablation study for image-to-image synthesis


Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional Shift


Vector-Decomposed Disentanglement for Domain-Invariant Object Detection


Vector-ICL: In-context Learning with Continuous Vector Representations


Vector-Processing for Mobile Devices: Benchmark and Analysis


Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding


Vector-Space Markov Random Fields via Exponential Families


Vector-Valued Graph Trend Filtering with Non-Convex Penalties


Vector-based Efficient Data Hiding in Encrypted Images via Multi-MSB Replacement


Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices


Vector-valued Spline Method for the Spherical Multiple-shell Electro-magnetoencephalography Problem


Vectorization of a thread-parallel Jacobi singular value decomposition method


Vectorization of the density matrix and quantum simulation of the von Neumann equation of time-dependent Hamiltonians


Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations


Vectorized and performance-portable Quicksort


Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry


VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology Alignment


Vega-MT: The JD Explore Academy Translation System for WMT22


VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations


VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms


Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques


Vehicle Behavior Prediction by Episodic-Memory Implanted NDT


Vehicle Re-Identification Based on Complementary Features


Vehicle Risk Assessment and Control for Lane-Keeping and Collision Avoidance in Urban and Highway Driving Scenarios


Vehicle Routing with Time-Dependent Travel Times: Theory, Practice, and Benchmarks


Vehicle Selection for C-V2X Mode 4 Based Federated Edge Learning Systems


Vehicle Speed Detection System Utilizing YOLOv8: Enhancing Road Safety and Traffic Management for Metropolitan Areas


Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance


Vehicle predictive trajectory patterns from isochronous data


Vehicle single track modeling using physics guided neural differential equations


Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks


Vehicle-to-grid for car sharing -- A simulation study for 2030


Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration


VelCrys: Interactive web-based application to compute acoustic wave velocity in crystals and its magnetic corrections


Veldkamp Spaces of Low-Dimensional Ternary Segre Varieties


Velocity continuation with Fourier neural operators for accelerated uncertainty quantification


Velocity evolution of broad-line Ic supernovae with and without gamma-ray bursts


Velocity reconstruction in the era of DESI and Rubin (part II): Realistic samples on the light cone


Velocity reconstruction with the cosmic microwave background and galaxy surveys


Velocity-coherent Filaments in NGC 1333: Evidence for Accretion Flow?


Venc Design and Velocity Estimation for Phase Contrast MRI


VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets


Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions


Venn: Resource Management for Collaborative Learning Jobs


VenoMave: Targeted Poisoning Against Speech Recognition


Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning


Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach


Venture Capital investments through the lens of Network and Functional Data Analysis


Venue Analytics: A Simple Alternative to Citation-Based Metrics


VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning


VenusX: Unlocking Fine-Grained Functional Understanding of Proteins


VerAs: Verify then Assess STEM Lab Reports


VerIF: Verification Engineering for Reinforcement Learning in Instruction Following


VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization


VerLoc: Verifiable Localization in Decentralized Systems


VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search


VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality


VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation


Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements


Verb Categorisation for Hindi Word Problem Solving


VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law


VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness


Verbalized Representation Learning for Interpretable Few-Shot Generalization


Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models


Verbs in Action: Improving verb understanding in video-language models


Verdi: Quality Estimation and Error Detection for Bilingual Corpora


Verdict: A Library for Scaling Judge-Time Compute


VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records


VeriFastScore: Speeding up long-form factuality evaluation


VeriFence: Lightweight and Precise Spectre Defenses for Untrusted Linux Kernel Extensions


VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation


VeriThinker: Learning to Verify Makes Reasoning Model Efficient


VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification


VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models


Verifiable Goal Recognition for Autonomous Driving with Occlusions


Verifiable Learning for Robust Tree Ensembles


Verifiable Light-Weight Monitoring for Certificate Transparency Logs


Verifiable and Compositional Reinforcement Learning Systems


Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks


Verifiable and Provably Secure Machine Unlearning


Verifiable evaluations of machine learning models using zkSNARKs


Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving


Verification and Synthesis of Compatible Control Lyapunov and Control Barrier Functions


Verification of Autonomous Neural Car Control with KeYmaera X


Verification of First-Order Methods for Parametric Quadratic Optimization


Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation


Verification of Machine Unlearning is Fragile


Verification of Multi-Agent Properties in Electronic Voting: A Case Study


Verification of Neural Networks' Global Robustness


Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes


Verification of Nondeterministic Quantum Programs


Verification of Quantitative Hyperproperties Using Trace Enumeration Relations


Verification of Quantum Circuits through Barrier Certificates using a Scenario Approach


Verification of Quantum Circuits through Discrete-Time Barrier Certificates


Verification of Quantum Systems using Barrier Certificates


Verification of indefinite-horizon POMDPs


Verification of the Incremental Merkle Tree Algorithm with Dafny


Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees


Verified Causal Broadcast with Liquid Haskell


Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3, 8) and R(3, 9) Problems


Verified Double Sided Auctions for Financial Markets


Verified Functional Programming of an Abstract Interpreter


Verified Probabilistic Policies for Deep Reinforcement Learning


Verified Reversible Programming for Verified Lossless Compression


Verified Rust Monitors for Lola Specifications


Verified Safe Reinforcement Learning for Neural Network Dynamic Models


Verified compilation of space-efficient reversible circuits


Verified completeness in Henkin-style for intuitionistic propositional logic


Verified invertible lexer using regular expressions and DFAs


Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework


VerifyMed -- A blockchain platform for transparent trust in virtualized healthcare: Proof-of-concept


Verifying And Interpreting Neural Networks using Finite Automata


Verifying Array Manipulating Programs with Full-Program Induction


Verifying Asymptotic Time Complexity of Imperative Programs in Isabelle


Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations


Verifying Controllers Against Adversarial Examples with Bayesian Optimization


Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions


Verifying Cross-modal Entity Consistency in News using Vision-language Models


Verifying Fairness in Quantum Machine Learning


Verifying Machine Unlearning with Explainable AI


Verifying Outsourced Computation in an Edge Computing Marketplace


Verifying Properties of Tsetlin Machines


Verifying Quantum Phase Estimation (QPE) using Prove-It


Verifying Recurrent Neural Networks using Invariant Inference


Verifying Relational Explanations: A Probabilistic Approach


Verifying Transactional Consistency of MongoDB


Verifying Tree Ensembles by Reasoning about Potential Instances


Verifying and Monitoring IoTs Network Behavior using MUD Profiles


Verifying and Optimizing Compact NUMA-Aware Locks on Weak Memory Models


Verifying message-passing neural networks via topology-based bounds tightening


Verifying the Robustness of Automatic Credibility Assessment


Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers


Verilay: A Verifiable Proof of Stake Chain Relay


Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs


VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency


Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models


VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications


VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis


Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework


Versatile Diffusion: Text, Images and Variations All in One Diffusion Model


Versatile Energy-Based Probabilistic Models for High Energy Physics


Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning


Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation


Versatile Multi-Modal Pre-Training for Human-Centric Perception


Versatile Neural Processes for Learning Implicit Neural Representations


Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching


Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metrics


Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC with Hybrid-Systems DDP


Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain Adaptation


Versatile Verification of Tree Ensembles


Versatile Weight Attack via Flipping Limited Bits


Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus


Versatile modular neural locomotion control with fast learning


Versatile quadrature antenna for precise control of large electron spin ensembles in diamond


VersiCode: Towards Version-controllable Code Generation


Version Control of Speaker Recognition Systems


VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary


VertAttack: Taking advantage of Text Classifiers' horizontal vision


VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images


Vertebra-Focused Landmark Detection for Scoliosis Assessment


Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations


Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle


Vertex addition to a ball graph with application to reliability and area coverage in autonomous swarms


Vertex-reinforced Random Walk for Network Embedding


Verti-Bench: A General and Scalable Off-Road Mobility Benchmark for Vertically Challenging Terrain


VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values


VertiCoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain


VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility


VertiMRF: Differentially Private Vertical Federated Data Synthesis


Vertical Federated Graph Neural Network for Recommender System


Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey


Vertical Federated Learning with Missing Features During Training and Inference


Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data


Vertical Federated Unlearning via Backdoor Certification


Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers


Vertical Symbolic Regression via Deep Policy Gradient


Vertical compositional variations of liquid hydrocarbons in Titan's alkanofers


Vertical-slice ocean tomography with seismic waves


Very Fast Streaming Submodular Function Maximization


Very High-Order A-stable Stiffly Accurate Diagonally Implicit Runge-Kutta Methods with Error Estimators


Very Long Natural Scenery Image Prediction by Outpainting


Very Massive Stars and Pair-Instability Supernovae: Mass-loss Framework for low Metallicity


Very accurate time propagation of coupled Schrödinger equations for femto- and attosecond physics and chemistry, with C++ source code


Very fast Bayesian Additive Regression Trees on GPU


Veryl: A New Hardware Description Language as an Altarnative to SystemVerilog


VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation


Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition


Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation


Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints


VesselGPT: Autoregressive Modeling of Vascular Geometry


VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA


Vessim: A Testbed for Carbon-Aware Applications and Systems


Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields


VetIoT: On Vetting IoT Defenses Enforcing Policies at Runtime


Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations


ViC: Virtual Compiler Is All You Need For Assembly Code Search


ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields


ViCAR: Visualizing Categories with Automated Rewriting in Coq


ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment


ViCE: Visual Counterfactual Explanations for Machine Learning Models


ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese


ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese


ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation


ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation


ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality


ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection


ViDeBERTa: A powerful pre-trained language model for Vietnamese


ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation


ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents


ViG-Bias: Visually Grounded Bias Discovery and Mitigation


ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention


ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network


ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling


ViHOS: Hate Speech Spans Detection for Vietnamese


ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model


ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking


ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features


ViLA: Efficient Video-Language Alignment for Video Question Answering


ViLBias: A Comprehensive Framework for Bias Detection through Linguistic and Visual Cues , presenting Annotation Strategies, Evaluation, and Key Challenges


ViLCo-Bench: VIdeo Language COntinual learning Benchmark


ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data


ViLLa: Video Reasoning Segmentation with Large Language Model


ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition


ViLReF: An Expert Knowledge Enabled Vision-Language Retinal Foundation Model


ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision


ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification


ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text


ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation


ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development


ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation


ViMoTest: A Tool to Specify ViewModel-Based GUI Test Scenarios using Projectional Editing


ViNMT: Neural Machine Translation Toolkit


ViNNPruner: Visual Interactive Pruning for Deep Learning


ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction


ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images


ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields


ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries


ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection


ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning


ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding


ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection


ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction


ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans


ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models


ViPlanner: Visual Semantic Imperative Learning for Local Navigation


ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding Validation


ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation


ViSE: Vision-Based 3D Online Shape Estimation of Continuously Deformable Robots


ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes


ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric


ViSTa Dataset: Do vision-language models understand sequential tasks?


ViSearch: Weak Consistency Measurement for Replicated Data Types


ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning


ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing


ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization


ViStoryBench: Comprehensive Benchmark Suite for Story Visualization


ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration


ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation


ViT-1.58b: Mobile Vision Transformers in the 1-bit Era


ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification


ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations


ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation


ViT-CX: Causal Explanation of Vision Transformers


ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection


ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation


ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration


ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation


ViTA-PAR: Visual and Textual Attribute Alignment with Attribute Prompting for Pedestrian Attribute Recognition


ViTA: Visual-Linguistic Translation by Aligning Object Tags


ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias


ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention


ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis


ViTGaze: Gaze Following with Interaction Features in Vision Transformers


ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts


ViTOL: Vision Transformer for Weakly Supervised Object Localization


ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels


ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction


ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images


ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting


ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions


Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization


VibNet: Vibration-Boosted Needle Detection in Ultrasound Images


Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models


VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models


VibrantLeaves: A principled parametric image generator for training deep restoration models


Vibration Free Flexible Object Handling with a Robot Manipulator Using Learning Control


Vibrational Heat-Bath Configuration Interaction


Vibrational Levels of a Generalized Morse Potential


Vibrations and tunneling of strained nanoribbons at finite temperature


Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors


Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing


Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources


Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily Plant


Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild


Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation


Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition


Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video


Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning


Vid3D: Synthesis of Dynamic 3D Scenes using 2D Video Diffusion


VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams


VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation


VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning


VidConv: A modernized 2D ConvNet for Efficient Video Recognition


VidCtx: Context-aware Video Question Answering with Image Models


VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots


VidHal: Benchmarking Temporal Hallucinations in Vision LLMs


VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer


VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces


VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling


VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models


VidSketch: Hand-drawn Sketch-Driven Video Generation with Diffusion Control


VidText: Towards Comprehensive Evaluation for Video Text Understanding


VidToMe: Video Token Merging for Zero-Shot Video Editing


Video + CLIP Baseline for Ego4D Long-term Action Anticipation


Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation


Video Annotation for Visual Tracking via Selection and Refinement


Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning


Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles


Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model


Video Anomaly Detection with Structured Keywords


Video Background Music Generation: Dataset, Method and Evaluation


Video BagNet: short temporal receptive fields increase robustness in long-term action recognition


Video Based Fall Detection Using Human Poses


Video Based Reconstruction of 3D People Models


Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network


Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models


Video Compression for Spatiotemporal Earth System Data


Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark


Video Deblurring by Fitting to Test Data


Video Deblurring by Sharpness Prior Detection and Edge Information


Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior


Video Demoireing with Relation-Based Temporal Consistency


Video Description using Bidirectional Recurrent Neural Networks


Video Dialog as Conversation about Objects Living in Space-Time


Video Diffusion Alignment via Reward Gradients


Video Diffusion Models with Local-Global Context Guidance


Video Diffusion Transformers are In-Context Learners


Video Face Clustering with Unknown Number of Clusters


Video Frame Interpolation Based on Deformable Kernel Region


Video Frame Interpolation via Generalized Deformable Convolution


Video Frame Interpolation with Densely Queried Bilateral Correlation


Video Frame Interpolation with Transformer


Video Frame Interpolation without Temporal Priors


Video Game Level Repair via Mixed Integer Linear Programming


Video Graph Transformer for Video Question Answering


Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowd-sourced Time-Sync Comments


Video Imagination from a Single Image with Transformation Generation


Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization


Video Inpainting Localization with Contrastive Learning


Video Instance Segmentation in an Open-World


Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer


Video Instance Segmentation with a Propose-Reduce Paradigm


Video Instance Shadow Detection Under the Sun and Sky


Video Joint Modelling Based on Hierarchical Transformer for Co-summarization


Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation


Video Logo Retrieval based on local Features


Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding


Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis


Video Moment Retrieval from Text Queries via Single Frame Annotation


Video Object Grounding using Semantic Roles in Language Description


Video Object Segmentation in Panoptic Wild Scenes


Video Object Segmentation using Supervoxel-Based Gerrymandering


Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting


Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement


Video Object Segmentation with Dynamic Query Modulation


Video Object Segmentation with Episodic Graph Memory Networks


Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition


Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning


Video Prediction Transformers without Recurrence or Convolution


Video Pretraining Advances 3D Deep Learning on Chest CT Tasks


Video Quality Assessment: A Comprehensive Survey


Video Question Answering: Datasets, Algorithms and Challenges


Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding


Video ReCap: Recursive Captioning of Hour-Long Videos


Video Reconstruction by Spatio-Temporal Fusion of Blurred-Coded Image Pair


Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding


Video Reenactment as Inductive Bias for Content-Motion Disentanglement


Video Relation Detection via Tracklet based Visual Transformer


Video Relationship Detection Using Mixture of Experts


Video Representation Learning by Dense Predictive Coding


Video Representation Learning with Visual Tempo Consistency


Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark


Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network


Video Salient Object Detection via Adaptive Local-Global Refinement


Video Seal: Open and Efficient Video Watermarking


Video Semantic Segmentation with Distortion-Aware Feature Correction


Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement


Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training


Video Summarization with Long Short-term Memory


Video Summarization: Towards Entity-Aware Captions


Video Super-Resolution with Recurrent Structure-Detail Network


Video Super-resolution with Temporal Group Attention


Video Surveillance for Road Traffic Monitoring


Video Test-Time Adaptation for Action Recognition


Video Text Tracking With a Spatio-Temporal Complementary Model


Video Understanding with Large Language Models: A Survey


Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey


Video action detection by learning graph-based spatio-temporal interactions


Video and Text Matching with Conditioned Embeddings


Video as Conditional Graph Hierarchy for Multi-Granular Question Answering


Video captioning with recurrent networks based on frame- and video-level features and visual content classification


Video captioning with stacked attention and semantic hard pull


Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy


Video object detection for privacy-preserving patient monitoring in intensive care


Video to Events: Recycling Video Datasets for Event Cameras


Video-Based Detection and Analysis of Errors in Robotic Surgical Training


Video-Based Human Pose Regression via Decoupled Space-Time Aggregation


Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos


Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models


Video-Data Pipelines for Machine Learning Applications


Video-Guided Curriculum Learning for Spoken Video Grounding


Video-Helpful Multimodal Machine Translation


Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?


Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding


Video-Language Alignment via Spatio-Temporal Graph Transformer


Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics


Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives


Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark


Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models


Video-R1: Reinforcing Video Reasoning in MLLMs


Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension


Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision


Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs


Video-Text Representation Learning via Differentiable Weak Temporal Alignment


Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding


Video-adverb retrieval with compositional adverb-action embeddings


Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis


Video-based Person Re-identification Using Spatial-Temporal Attention Networks


Video-based Person Re-identification with Spatial and Temporal Memory Networks


Video-based Person Re-identification without Bells and Whistles


Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling


Video-based Sequential Bayesian Homography Estimation for Soccer Field Registration


Video-based Visible-Infrared Person Re-Identification with Auxiliary Samples


Video-based cattle identification and action recognition


Video-based surgical skill assessment using 3D convolutional neural networks


Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning


Video2GIF: Automatic Generation of Animated GIFs from Video


Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model


Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning


VideoCAD: A Large-Scale Video Dataset for Learning UI Interactions and 3D Reasoning from CAD Software


VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models


VideoCon: Robust Video-Language Alignment via Contrast Captions


VideoDG: Generalizing Temporal Relations in Videos to Novel Domains


VideoDeepResearch: Long Video Understanding With Agentic Tool Using


VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models


VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection


VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model


VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation


VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding


VideoGen-Eval: Agent-based System for Video Generation Evaluation


VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation


VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding


VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs


VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format


VideoLLM: Modeling Video Sequence with Large Language Models


VideoLT: Large-scale Long-tailed Video Recognition


VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment


VideoLights: Feature Refinement and Cross-Task Alignment Transformer for Joint Video Highlight Detection and Moment Retrieval


VideoMAC: Video Masked Autoencoders Meet ConvNets


VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking


VideoMamba: Spatio-Temporal Selective State Space Model


VideoMamba: State Space Model for Efficient Video Understanding


VideoMarkBench: Benchmarking Robustness of Video Watermarking


VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning


VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples


VideoMolmo: Spatio-Temporal Grounding Meets Pointing


VideoMultiAgents: A Multi-Agent Framework for Video Question Answering


VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering


VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control


VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection


VideoPath-LLaVA: Pathology Diagnostic Reasoning Through Video Instruction Tuning


VideoPure: Diffusion-based Adversarial Purification for Video Recognition


VideoQA in the Era of LLMs: An Empirical Study


VideoRAG: Retrieval-Augmented Generation over Video Corpus


VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos


VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models


VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning


VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?


VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM


VideoRoPE: What Makes for Good Video Rotary Position Embedding?


VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics


VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation


VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking


VideoStudio: Generating Consistent-Content and Multi-Scene Videos


VideoTetris: Towards Compositional Text-to-Video Generation


VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation


VideoXum: Cross-modal Visual and Textural Summarization of Videos


Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data


Vietnamese Poem Generation & The Prospect Of Cross-Language Poem-To-Poem Translation


Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture


View From Above: A Framework for Evaluating Distribution Shifts in Model Behavior


View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs


View Synthesis with Sculpted Neural Points


View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection


View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums


View it like a radiologist: Shifted windows for deep learning augmentation of CT images


View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields


View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data


View-Disentangled Transformer for Brain Lesion Detection


View-based Explanations for Graph Neural Networks


View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network


ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation


ViewActive: Active viewpoint optimization from a single image


ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency


ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models


ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints


ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers


ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers


ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis


ViewFusion: Towards Multi-View Consistency via Interpolated Denoising


ViewVR: Visual Feedback Modes to Achieve Quality of VR-based Telemanipulation


Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection


Viewmaker Networks: Learning Views for Unsupervised Representation Learning


Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning


Viewpoint Push Planning for Mapping of Unknown Confined Spaces


Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models


Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification


Viewpoint-driven Formation Control of Airships for Cooperative Target Tracking


Viewport-Aware Dynamic 360° Video Segment Categorization


Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm


Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes


VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft


VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models


Vim4Path: Self-Supervised Vision Mamba for Histopathology Images


VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization


VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography


VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays


VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs


VindLU: A Recipe for Effective Video-and-Language Pretraining


Vine Copula based portfolio level conditional risk measure forecasting


Vine Copulas as Differentiable Computational Graphs


Vine copula based knockoff generation for high-dimensional controlled variable selection


VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment


Vintix: Action Model via In-Context Reinforcement Learning


VioPose: Violin Performance 4D Pose Estimation by Hierarchical Audiovisual Inference


Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models


Violation of the Finner inequality in the four-output triangle network


Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints


ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning


ViperGPT: Visual Inference via Python Execution for Reasoning


VirAAL: Virtual Adversarial Active Learning For NLU


ViralBERT: A User Focused BERT-Based Approach to Virality Prediction


ViralQC: A Tool for Assessing Completeness and Contamination of Predicted Viral Contigs


Virchow: A Million-Slide Digital Pathology Foundation Model


Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves


Virial Black Hole Mass Estimates of Quasars in the XQ-100 Legacy Survey


VirnyFlow: A Design Space for Responsible Model Development


Virtual Adversarial Ladder Networks For Semi-supervised Learning


Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing


Virtual Analog Modeling of Distortion Circuits Using Neural Ordinary Differential Equations


Virtual Augmented Reality for Atari Reinforcement Learning


Virtual Avatar Stream: a cost-down approach to the Metaverse experience


Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting


Virtual Conditional Generative Adversarial Networks


Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models


Virtual Foundry Graphnet for Metal Sintering Deformation Prediction


Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination


Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning


Virtual Linking Bids for Market Clearing with Non-Merchant Storage


Virtual Micromagnetics: A Framework for Accessible and Reproducible Micromagnetic Simulation


Virtual Mixup Training for Unsupervised Domain Adaptation


Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction


Virtual Net: a Decentralized Architecture for Interaction in Mobile Virtual Worlds


Virtual Node Graph Neural Network for Full Phonon Prediction


Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning


Virtual Occlusions Through Implicit Depth


Virtual Omnidirectional Perception for Downwash Prediction within a Team of Nano Multirotors Flying in Close Proximity


Virtual Personas for Language Models via an Anthology of Backstories


Virtual Reality Based Robot Teleoperation via Human-Scene Interaction


Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction


Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics


Virtual Representations for Iterative IoT Deployment


Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE


Virtual Sparse Convolution for Multimodal 3D Object Detection


Virtual domain extension for imposing boundary conditions in flow simulation using pre-trained local neural operator


Virtual mitigation of coherent non-adiabatic transitions by echo verification


Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration


Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir


Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models


Virtual trajectories for I-24 MOTION: data and tools


VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data


Virtualized Logical Qubits: A 2.5D Architecture for Error-Corrected Quantum Computing


Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?


Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation


VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution


Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility


Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation


VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models


VisDA: The Visual Domain Adaptation Challenge


VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms


VisEval: A Benchmark for Data Visualization in the Era of Large Language Models


VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows


VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization


VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives


VisFly: An Efficient and Versatile Simulator for Training Vision-based Flight


VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding


VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos


VisIRNet: Deep Image Alignment for UAV-taken Visible and Infrared Image Pairs


VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use


VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization


VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information


VisQA: X-raying Vision and Language Reasoning in Transformers


VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents


VisRL: Intention-Driven Visual Perception via Reinforced Reasoning


VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees


VisTai: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan


VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and Reasoning


ViscNet: Neural network for predicting the fragility index and the temperature-dependency of viscosity


ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet


Viscoelastic mechanics of tidally induced lake drainage in the Amery grounding zone


Visconde: Multi-document QA with GPT-3 and Neural Reranking


Viscous Gubser flow with conserved charges to benchmark fluid simulations


Viscous and centrifugal instabilities of massive stars


Viscous tubular-body theory for plane interfaces


VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette


Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark


Visibility Predictions for Near-Future Satellite Megaconstellations: Latitudes near 50 Degrees will Experience the Worst Light Pollution


Visibility graphs for robust harmonic similarity measures between audio spectra


Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning


Visibility-aware Multi-view Stereo Network


Visibility-aware Trajectory Optimization with Application to Aerial Tracking


Visible Decay of Astrophysical Neutrinos at IceCube


Visible Light Communication based Vehicle Localization for Collision Avoidance and Platooning


Visible and Clear: Finding Tiny Objects in Difference Map


Visible-Infrared Person Re-Identification Using Privileged Intermediate Information


Visible-Light High-Contrast Imaging and Polarimetry with SCExAO/VAMPIRES


Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach


Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines


Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline


VisioPhysioENet: Multimodal Engagement Detection using Visual and Physiological Signals


VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance


Vision + Language Applications: A Survey


Vision Based Dynamic Offside Line Marker for Soccer Games


Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations


Vision Calorimeter: Migrating Visual Object Detector to High-energy Particle Images


Vision Conformer: Incorporating Convolutions into Vision Transformer Layers


Vision Controlled Sensorized Prosthetic Hand


Vision Eagle Attention: a new lens for advancing image classification


Vision Foundation Models for Computed Tomography


Vision Graph Prompting via Semantic Low-Rank Decomposition


Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization


Vision Language Action Models in Robotic Manipulation: A Systematic Review


Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models


Vision Language Models in Autonomous Driving: A Survey and Outlook


Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images


Vision Mamba Distillation for Low-resolution Fine-grained Image Classification


Vision Mamba for Classification of Breast Ultrasound Images


Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook


Vision Mamba: A Comprehensive Survey and Taxonomy


Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models


Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning


Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information


Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance


Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation


Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning


Vision Relation Transformer for Unbiased Scene Graph Generation


Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines


Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models


Vision Transformer Hashing for Image Retrieval


Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights


Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting


Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?


Vision Transformer for Contrastive Clustering


Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition


Vision Transformer with Progressive Sampling


Vision Transformer with Super Token Sampling


Vision Transformer-based Adversarial Domain Adaptation


Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images


Vision Transformers are Parameter-Efficient Audio-Visual Learners


Vision Transformers in 2022: An Update on Tiny ImageNet


Vision Transformers with Mixed-Resolution Tokenization


Vision Transformers with Patch Diversification


Vision and Control for Grasping Clear Plastic Bags


Vision and Language Reference Prompt into SAM for Few-shot Segmentation


Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval


Vision based hardware-software real-time control system for autonomous landing of an UAV


Vision language models are blind: Failing to translate detailed visual features into words


Vision- and tactile-based continuous multimodal intention and attention recognition for safer physical human-robot interaction


Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions


Vision-Based Fallen Person Detection for the Elderly


Vision-Based Fuzzy Control System for Smart Walkers: Enhancing Usability for Stroke Survivors with Unilateral Upper Limb Impairments


Vision-Based Guidance for Tracking Dynamic Objects


Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration


Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments


Vision-Dialog Navigation by Exploring Cross-modal Memory


Vision-Encoders (Already) Know What They See: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore


Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks


Vision-LSTM: xLSTM as Generic Vision Backbone


Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment


Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection


Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model


Vision-Language Instruction Tuning: A Review and Analysis


Vision-Language Interpreter for Robot Task Planning


Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning


Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification


Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation


Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation


Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps


Vision-Language Models are Strong Noisy Label Detectors


Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning


Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos


Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review


Vision-Language Models for Vision Tasks: A Survey


Vision-Language Navigation with Random Environmental Mixup


Vision-Language Pre-Training for Boosting Scene Text Detectors


Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis


Vision-Language Pre-Training with Triple Contrastive Learning


Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning


Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks


Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models


Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets


Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models


Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures


Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models


Vision-and-Language Navigation via Causal Learning


Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions


Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers


Vision-based 3D occupancy prediction in autonomous driving: a review and outlook


Vision-based Behavioral Recognition of Novelty Preference in Pigs


Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches


Vision-based Drone Flocking in Outdoor Environments


Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions


Vision-based Fight Detection from Surveillance Cameras


Vision-based GNSS-Free Localization for UAVs in the Wild


Vision-based Navigation Using Deep Reinforcement Learning


Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention


Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review


Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation


Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging


Vision-based indoor localization of nano drones in controlled environment with its applications


Vision-based robot manipulation of transparent liquid containers in a laboratory setting


Vision-by-Language for Training-Free Compositional Image Retrieval


Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation


Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing


VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence


VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation


VisionGRU: A Linear-Complexity RNN Model for Efficient Image Analysis


VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context


VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks


VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation


VisionTasker: Mobile Task Automation Using Vision Based UI Understanding and LLM Task Planning


VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network


VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge


VisionZip: Longer is Better but Not Necessary in Vision Language Models


Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition


Viskositas: Viscosity Prediction of Multicomponent Chemical Systems


VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution


VisorGPT: Learning Visual Prior via Generative Pre-Training


Vista3D: Unravel the 3D Darkside of a Single Image


Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability


VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models


VistaFormer: Scalable Vision Transformers for Satellite Image Time Series Segmentation


Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR


Visual Abstract Thinking Empowers Multimodal Reasoning


Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs


Visual Analysis of Multi-outcome Causal Graphs


Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction


Visual Analytics for Understanding Draco's Knowledge Base


Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction


Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model


Visual Answer Localization with Cross-modal Mutual Knowledge Transfer


Visual Aspects of Gaussian Periods and Analogues


Visual Attention Emerges from Recurrent Sparse Reconstruction


Visual Attention Prompted Prediction and Learning


Visual Autoregressive Modeling for Image Super-Resolution


Visual Boundary Knowledge Translation for Foreground Segmentation


Visual Causal Scene Refinement for Video Question Answering


Visual Classification via Description from Large Language Models


Visual Commonsense in Pretrained Unimodal and Multimodal Models


Visual Commonsense-aware Representation Network for Video Captioning


Visual Compositional Data Analytics for Spatial Transcriptomics


Visual Consensus Prompting for Co-Salient Object Detection


Visual Contact Pressure Estimation for Grippers in the Wild


Visual Context-Aware Person Fall Detection


Visual Contexts Clarify Ambiguous Expressions: A Benchmark Dataset


Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection


Visual Cross-View Metric Localization with Dense Uncertainty Estimates


Visual Cues and Error Correction for Translation Robustness


Visual Data Analysis with Task-based Recommendations


Visual Data Diagnosis and Debiasing with Concept Graphs


Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models


Visual Deformation Detection Using Soft Material Simulation for Pre-training of Condition Assessment Models


Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention


Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs


Visual Diagnostics for Constrained Optimisation with Application to Guided Tours


Visual Distant Supervision for Scene Graph Generation


Visual Diver Recognition for Underwater Human-Robot Collaboration


Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware


Visual Enumeration is Challenging for Large-scale Generative AI


Visual Explanation for Deep Metric Learning


Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks


Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution


Visual Explanations via Iterated Integrated Attributions


Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets


Visual Feature Attribution using Wasserstein GANs


Visual Foresight Trees for Object Retrieval from Clutter with Nonprehensile Rearrangement


Visual Foresight With a Local Dynamics Model


Visual Global Localization with a Hybrid WNN-CNN Approach


Visual Goal-Step Inference using wikiHow


Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning


Visual Grounding Methods for VQA are Working for the Wrong Reasons!


Visual Grounding in Video for Unsupervised Word Translation


Visual Grounding with Multi-modal Conditional Adaptation


Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization


Visual Hallucinations of Multi-modal Large Language Models


Visual Highlighting for Situated Brushing and Linking


Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning


Visual Identification of Problematic Bias in Large Label Spaces


Visual Imitation Learning with Patch Rewards


Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solution


Visual Information Guided Zero-Shot Paraphrase Generation


Visual Instruction Inversion: Image Editing via Visual Prompting


Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images


Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images


Visual Large Language Models for Generalized and Specialized Applications


Visual Localization using Imperfect 3D Models from the Internet


Visual Localization via Few-Shot Scene Region Classification


Visual Material Characteristics Learning for Circular Healthcare


Visual Mesh: Real-time Object Detection Using Constant Sample Density


Visual Microfossil Identification via Deep Metric Learning


Visual Modality Prompt for Adapting Vision-Language Object Detectors


Visual Named Entity Linking: A New Dataset and A Baseline


Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning


Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book Collection


Visual Object Recognition in Indoor Environments Using Topologically Persistent Features


Visual Object Tracking: The Initialisation Problem


Visual Perception by Large Language Model's Weights


Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models


Visual Pivoting for (Unsupervised) Entity Alignment


Visual Planning: Let's Think Only with Images


Visual Point Cloud Forecasting enables Scalable Autonomous Driving


Visual Position Prompt for MLLM based Visual Grounding


Visual Pre-Training on Unlabeled Images using Reinforcement Learning


Visual Pre-training for Navigation: What Can We Learn from Noise?


Visual Pressure Estimation and Control for Soft Robotic Grippers


Visual Privacy Protection via Mapping Distortion


Visual Probing and Correction of Object Recognition Models with Interactive user feedback


Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations


Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding


Visual Prompt Tuning for Generative Transfer Learning


Visual Prompt Tuning in Null Space for Continual Learning


Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning


Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests


Visual Question Generation for Class Acquisition of Unknown Objects


Visual Re-Ranking with Non-Visual Side Information


Visual Reaction: Learning to Play Catch with Your Drone


Visual Realism Assessment for Face-swap Videos


Visual Reasoning Strategies for Effect Size Judgments and Decisions


Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges


Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach


Visual Referring Expression Recognition: What Do Systems Actually Learn?


Visual Reinforcement Learning with Self-Supervised 3D Representations


Visual Relationship Detection with Relative Location Mining


Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal Representations


Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime


Visual Robustness Benchmark for Visual Question Answering (VQA)


Visual Scene Graphs for Audio Source Separation


Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases


Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization


Visual Semantic Navigation with Real Robots


Visual Semantic Reasoning for Image-Text Matching


Visual Semantic Role Labeling for Video Understanding


Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment


Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition


Visual Sensor Network Stimulation Model Identification via Gaussian Mixture Model and Deep Embedded Features


Visual Servoing NMPC Applied to UAVs for Photovoltaic Array Inspection


Visual Servoing-based Navigation for Monitoring Row-Crop Fields


Visual Sound Localization in the Wild by Cross-Modal Interference Erasing


Visual Speech Enhancement Without A Real Visual Stream


Visual Speech Recognition for Languages with Limited Labeled Data using Automatic Labels from Whisper


Visual Story Generation Based on Emotion and Keywords


Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration


Visual Style Prompting with Swapping Self-Attention


Visual Test-time Scaling for GUI Agent Grounding


Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant


Visual Text Mining with Progressive Taxonomy Construction for Environmental Studies


Visual Tool for Assessing Stability of DER Configurations on Three-Phase Radial Networks


Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection


Visual Tracking by TridentAlign and Context Embedding


Visual Transfer between Atari Games using Competitive Reinforcement Learning


Visual Transformer for Task-aware Active Learning


Visual Transformers with Primal Object Queries for Multi-Label Image Classification


Visual and Memory Dual Adapter for Multi-Modal Object Tracking


Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol


Visual binary stars with known orbits in Gaia EDR3


Visual cognition in multimodal large language models


Visual communication of object concepts at different levels of abstraction


Visual correspondence-based explanations improve AI robustness and human-AI team accuracy


Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images


Visual enhancement of Cone-beam CT by use of CycleGAN


Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations


Visual pathways from the perspective of cost functions and multi-task deep neural networks


Visual place recognition for aerial imagery: A survey


Visual resemblance and communicative context constrain the emergence of graphical conventions


Visual scoping operations for physical assembly


Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction


Visual-Friendly Concept Protection via Selective Adversarial Perturbations


Visual-Geometric Collaborative Guidance for Affordance Learning


Visual-Geometry GP-based Navigable Space for Autonomous Navigation


Visual-Inertial Multi-Instance Dynamic SLAM with Object-level Relocalisation


Visual-Instructed Degradation Diffusion for All-in-One Image Restoration


Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration


Visual-Lidar Map Alignment for Infrastructure Inspections


Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries


Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning


Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection


Visual-Semantic Graph Matching Net for Zero-Shot Learning


Visual-Semantic Knowledge Conflicts in Operating Rooms: Synthetic Data Curation for Surgical Risk Perception in Multimodal Large Language Models


Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification


Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with Feature-Matching and Perceptual Losses


Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models


VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents


VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels


VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning


VisualMRC: Machine Reading Comprehension on Document Images


VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks


Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure


Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models


Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas


Visualising Model Training via Vowel Space for Text-To-Speech Systems


Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models


Visualization Tool for Environmental Sensing and Public Health Data


Visualization and Efficient Generation of Constrained High-dimensional Theoretical Parameter Spaces


Visualization of Diseases at Risk in the COVID-19 Literature


Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping


Visualization of High-dimensional Scalar Functions Using Principal Parameterizations


Visualization of Linear Operations in the Spherical Harmonics Domain


Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization


Visualization of a multidimensional point cloud as a 3D swarm of avatars


Visualization of time-frequency structures in gravitational wave signals


Visualization tools for parameter selection in cluster analysis


Visualizations for Bayesian Additive Regression Trees


Visualizations of Complex Sequences of Family-Infant Vocalizations Using Bag-of-Audio-Words Approach Based on Wav2vec 2.0 Features


Visualize Before You Write: Imagination-Guided Open-Ended Text Generation


Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package


Visualizing Adapted Knowledge in Domain Transfer


Visualizing Classification Structure of Large-Scale Classifiers


Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing


Visualizing Cloud-native Applications with KubeDiagrams


Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results


Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease


Visualizing Deep Neural Network Decisions: Prediction Difference Analysis


Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models


Visualizing Distributed Traces in Aggregate


Visualizing Extensions of Argumentation Frameworks as Layered Graphs


Visualizing Geophylogenies -- Internal and External Labeling with Phylogenetic Tree Constraints


Visualizing Global Explanations of Point Cloud DNNs


Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding


Visualizing Income Distribution in the United States


Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models


Visualizing Multidimensional Linear Programming Problems


Visualizing Point Cloud Classifiers by Curvature Smoothing


Visualizing Quantum Circuit Probability -- estimating computational action for quantum program synthesis


Visualizing Relation Between (De)Motivating Topics and Public Stance toward COVID-19 Vaccine


Visualizing Representations of Adversarially Perturbed Inputs


Visualizing Riemannian data with Rie-SNE


Visualizing Sound Directivity via Smartphone Sensors


Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation


Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence Metrics


Visualizing a Million Time Series with the Density Line Chart


Visualizing a Nondeterministic to Deterministic Finite-State Machine Transformation


Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization


Visualizing and Understanding Contrastive Learning


Visualizing and comparing distributions with half-disk density strips


Visualizing fluid flows via regularized optimal mass transport with applications to neuroscience


Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder


Visualizing high-dimensional loss landscapes with Hessian directions


Visualizing hypothesis tests in survival analysis under anticipated delayed effects


Visualizing structural balance in signed networks


Visualizing the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome


Visualizing the Effects of a Changing Distance on Data Using Continuous Embeddings


Visualizing the Evolution of Twitter (X.com) Conversations: A Comprehensive Methodology Applied to AI Training Discussions on ChatGPT


Visualizing the Flow of Discourse with a Concept Ontology


Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction


Visualizing the PHATE of Neural Networks


Visualizing the Scripts of Data Wrangling with SOMNUS


Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning


Visually Aware Skip-Gram for Image Based Recommendations


Visually Dehallucinative Instruction Generation


Visually Dehallucinative Instruction Generation: Know What You Don't Know


Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series


Visually Grounded Commonsense Knowledge Acquisition


Visually Grounded Continual Language Learning with Selective Specialization


Visually Grounded Reasoning across Languages and Cultures


Visually Grounded VQA by Lattice-based Retrieval