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 726–750 of 1149 papers

TitleStatusHype
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs—0
Comprehensive Video Understanding: Video summarization with content-based video recommender design—0
Compressed Vision for Efficient Video Understanding—0
Concept Graph Neural Networks for Surgical Video Understanding—0
Constructing Hierarchical Q&A Datasets for Video Story Understanding—0
ContextDet: Temporal Action Detection with Adaptive Context Aggregation—0
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries—0
Contrastive Language-Action Pre-training for Temporal Localization—0
Contrastive Language Video Time Pre-training—0
CoS: Chain-of-Shot Prompting for Long Video Understanding—0
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos—0
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization—0
Cross-Class Relevance Learning for Temporal Concept Localization—0
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding—0
CTM: Collaborative Temporal Modeling for Action Recognition—0
Cultivating DNN Diversity for Large Scale Video Labelling—0
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data—0
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
Cycle-Contrast for Self-Supervised Video Representation Learning—0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description—0
Deep learning for action spotting in association football videos—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding—0
DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding—0
Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection—0
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