Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark
Paper • 2510.13759 • Published • 11
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shulin16
authored 8
papers 20 days ago
Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition
Paper • 2602.08439 • Published • 28
Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2603.18118 • Published • 12
PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning
Paper • 2603.26653 • Published • 18
HippoCamp: Benchmarking Contextual Agents on Personal Computers
Paper • 2604.01221 • Published • 30
A Simple Baseline for Streaming Video Understanding
Paper • 2604.02317 • Published • 74
FileGram: Grounding Agent Personalization in File-System Behavioral Traces
Paper • 2604.04901 • Published • 40
S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence
Paper • 2606.20515 • Published • 40
Jingkang
authored 12
papers 3 months ago
Sparse Mixture-of-Experts are Domain Generalizable Learners
Paper • 2206.04046 • Published • 1
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
Paper • 2403.20331 • Published • 16
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 35
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Paper • 2407.21794 • Published • 6
Panoptic Scene Graph Generation
Paper • 2207.11247 • Published
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
Paper • 2506.13654 • Published • 44
VideoLucy: Deep Memory Backtracking for Long Video Understanding
Paper • 2510.12422 • Published • 1
HippoCamp: Benchmarking Contextual Agents on Personal Computers
Paper • 2604.01221 • Published • 30
A Simple Baseline for Streaming Video Understanding
Paper • 2604.02317 • Published • 74
Conditional Prompt Learning for Vision-Language Models
Paper • 2203.05557 • Published
Towards Language-Driven Video Inpainting via Multimodal Large Language Models
Paper • 2401.10226 • Published • 2
Learning to Prompt for Vision-Language Models
Paper • 2109.01134 • Published