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 701–750 of 1149 papers

TitleStatusHype
C^3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues—0
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition—0
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization—0
Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting—0
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP—0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning—0
Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?—0
Can Temporal Information Help with Contrastive Self-Supervised Learning?—0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding—0
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning—0
Causal Reasoning Meets Visual Representation Learning: A Prospective Study—0
CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis—0
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos—0
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System—0
Chat with AI: The Surprising Turn of Real-time Video Communication from Human to AI—0
CinePile: A Long Video Question Answering Dataset and Benchmark—0
Clapper: Compact Learning and Video Representation in VLMs—0
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation—0
CLIP4Caption: CLIP for Video Caption—0
Co-attentional Transformers for Story-Based Video Understanding—0
COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework—0
CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding—0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
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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