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 476–500 of 1149 papers

TitleStatusHype
ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task—0
OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding—0
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?—0
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval—0
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization—0
PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild—0
OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding—0
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model—0
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking—0
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding—0
How Can Objects Help Video-Language Understanding?—0
VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding—0
From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction—0
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
InstructionBench: An Instructional Video Understanding Benchmark—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
Moment Quantization for Video Temporal Grounding—0
TimeSearch: Hierarchical Video Search with Spotlight and Reflection for Human-like Long Video Understanding—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
Aligned Better, Listen Better for Audio-Visual Large Language Models—0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description—0
H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding—0
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition—0
OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts—0
Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding—0
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