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 551–575 of 1149 papers

TitleStatusHype
A Unified Framework for Human-centric Point Cloud Video Understanding—0
Towards Multimodal Video Paragraph Captioning Models Robust to Missing ModalityCode0
OmniVid: A Generative Framework for Universal Video UnderstandingCode2
Understanding Long Videos with Multimodal Language ModelsCode2
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding—0
InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingCode7
VURF: A General-purpose Reasoning and Self-refinement Framework for Video UnderstandingCode0
Language Repository for Long Video UnderstandingCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding—0
Towards Neuro-Symbolic Video UnderstandingCode1
VideoAgent: Long-form Video Understanding with Large Language Model as AgentCode2
Video Mamba Suite: State Space Model as a Versatile Alternative for Video UnderstandingCode3
Don't Judge by the Look: Towards Motion Coherent Video RepresentationCode0
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions—0
VideoMamba: State Space Model for Efficient Video UnderstandingCode5
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsCode4
Beyond MOT: Semantic Multi-Object TrackingCode2
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives—0
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies—0
Abductive Ego-View Accident Video Understanding for Safe Driving Perception—0
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning—0
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
Slot-VLM: SlowFast Slots for Video-Language Modeling—0
Video ReCap: Recursive Captioning of Hour-Long VideosCode3
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