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 601–625 of 1149 papers

TitleStatusHype
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision—0
Text-Conditioned Resampler For Long Form Video Understanding—0
Learning Object State Changes in Videos: An Open-World Perspective—0
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s—0
Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot VideosCode1
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language ModelsCode1
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Audio-Visual LLM for Video Understanding—0
Grounded Question-Answering in Long Egocentric VideosCode1
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
Action Scene Graphs for Long-Form Understanding of Egocentric VideosCode1
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding—0
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
Zero-Shot Video Question Answering with Procedural Programs—0
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation—0
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding—0
CAST: Cross-Attention in Space and Time for Video Action RecognitionCode1
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person PerspectivesCode2
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional PropertiesCode1
Panoptic Video Scene Graph GenerationCode1
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
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