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 1031–1040 of 1149 papers

TitleStatusHype
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering—0
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data—0
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval—0
PVChat: Personalized Video Chat with One-Shot Learning—0
PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models—0
PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild—0
PYSKL: a toolbox for skeleton-based video understanding—0
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs—0
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs—0
Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs—0
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