SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 151–175 of 1149 papers

TitleStatusHype
PAVE: Patching and Adapting Video Large Language ModelsCode1
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and MitigationCode1
ACVUBench: Audio-Centric Video Understanding BenchmarkCode0
SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding—0
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos—0
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks—0
Breaking the Encoder Barrier for Seamless Video-Language Understanding—0
Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding—0
MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss AlpsCode1
V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model InteractionCode1
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object UnderstandingCode0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
Temporal Action Detection Model Compression by Progressive Block Drop—0
PVChat: Personalized Video Chat with One-Shot Learning—0
Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language ModelsCode1
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video UnderstandingCode1
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations—0
Agentic Keyframe Search for Video Question AnsweringCode1
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?—0
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
XAttention: Block Sparse Attention with Antidiagonal ScoringCode3
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding—0
Impossible Videos—0
Improving LLM Video Understanding with 16 Frames Per Second—0
SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability—0
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