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 776–800 of 1149 papers

TitleStatusHype
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
Exploring Missing Modality in Multimodal Egocentric Datasets—0
Learning to Visually Connect Actions and their Effects—0
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding—0
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization—0
Dr^2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient FinetuningCode0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning—0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
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
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
Audio-Visual LLM for Video Understanding—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding—0
Zero-Shot Video Question Answering with Procedural Programs—0
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding—0
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
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