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

Showing 351400 of 1149 papers

TitleStatusHype
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language ModelsCode1
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models0
Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?0
EVQAScore: Efficient Video Question Answering Data Evaluation0
Video RWKV:Video Action Recognition Based RWKV0
StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video UnderstandingCode2
Personalized Video Summarization by Multimodal Video Understanding0
PPLLaVA: Varied Video Sequence Understanding With Prompt GuidanceCode2
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action SegmentationCode1
Video Token Merging for Long-form Video Understanding0
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation ModelsCode1
Zero-Shot Action Recognition in Surveillance Videos0
Egocentric and Exocentric Methods: A Short Survey0
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning0
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded TuningCode2
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web TasksCode1
CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkCode1
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language UnderstandingCode3
ContextDet: Temporal Action Detection with Adaptive Context Aggregation0
EVA: An Embodied World Model for Future Video Anticipation0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning0
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models0
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models0
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-identification0
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering0
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video UnderstandingCode1
TVBench: Redesigning Video-Language Evaluation0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization0
MM-Ego: Towards Building Egocentric Multimodal LLMs0
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 Benchmark0
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language ModelsCode2
Frame-Voyager: Learning to Query Frames for Video Large Language Models0
AirLetters: An Open Video Dataset of Characters Drawn in the Air0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM0
Deep learning for action spotting in association football videos0
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 LMMs0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning0
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsCode1
Visual Context Window Extension: A New Perspective for Long Video Understanding0
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks0
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