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 376–400 of 1149 papers

TitleStatusHype
VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AICode2
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video ModelsCode1
Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMsCode2
ViFi-ReID: A Two-Stream Vision-WiFi Multimodal Approach for Person Re-identification—0
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering—0
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video UnderstandingCode1
TVBench: Redesigning Video-Language Evaluation—0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
MM-Ego: Towards Building Egocentric Multimodal LLMs—0
Enhancing Temporal Modeling of Video LLMs via Time GatingCode0
TRACE: Temporal Grounding Video LLM via Causal Event ModelingCode2
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model InferenceCode3
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark—0
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language ModelsCode2
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
AirLetters: An Open Video Dataset of Characters Drawn in the Air—0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM—0
Deep learning for action spotting in association football videos—0
UAL-Bench: The First Comprehensive Unusual Activity Localization BenchmarkCode0
ScVLM: Enhancing Vision-Language Model for Safety-Critical Event UnderstandingCode0
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs—0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsCode1
Visual Context Window Extension: A New Perspective for Long Video Understanding—0
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks—0
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