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 426–450 of 1149 papers

TitleStatusHype
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs—0
APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval—0
TextVidBench: A Benchmark for Long Video Scene Text Understanding—0
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding—0
METok: Multi-Stage Event-based Token Compression for Efficient Long Video UnderstandingCode0
InterRVOS: Interaction-aware Referring Video Object Segmentation—0
EgoVLM: Policy Optimization for Egocentric Video UnderstandingCode0
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding—0
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding—0
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis—0
Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders—0
Learning reusable concepts across different egocentric video understanding tasks—0
VUDG: A Dataset for Video Understanding Domain Generalization—0
Time Blindness: Why Video-Language Models Can't See What Humans Can?—0
ScaleLong: A Multi-Timescale Benchmark for Long Video UnderstandingCode0
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding—0
Universal Visuo-Tactile Video Understanding for Embodied Interaction—0
Two Causally Related Needles in a Video Haystack—0
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic VideosCode0
AdaTP: Attention-Debiased Token Pruning for Video Large Language Models—0
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs—0
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding—0
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game UnderstandingCode0
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