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 1001–1025 of 1149 papers

TitleStatusHype
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?—0
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets—0
When Work Matters: Transforming Classical Network Structures to Graph CNN—0
WildQA: In-the-Wild Video Question Answering—0
Wolf: Captioning Everything with a World Summarization Framework—0
WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning—0
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs—0
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding—0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset—0
YouTube-8M Video Understanding Challenge Approach and Applications—0
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
Zero-Shot Action Recognition in Surveillance Videos—0
Zero-Shot Action Recognition in Videos: A Survey—0
Zero-Shot Long-Form Video Understanding through Screenplay—0
Zero-shot Shark Tracking and Biometrics from Aerial Imagery—0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network—0
4D Generic Video Object ProposalsCode0
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal ModelsCode0
LLaVA-OneVision: Easy Visual Task TransferCode0
A Context-Aware Loss Function for Action Spotting in Soccer VideosCode0
Learnable pooling with Context Gating for video classificationCode0
Learnable Pooling Methods for Video ClassificationCode0
Leaping Into Memories: Space-Time Deep Feature SynthesisCode0
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video ProcessingCode0
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