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 176–200 of 1149 papers

TitleStatusHype
ViSpeak: Visual Instruction Feedback in Streaming VideosCode2
VideoMind: A Chain-of-LoRA Agent for Long Video ReasoningCode3
Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory—0
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition—0
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding—0
Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?Code1
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language UnderstandingCode2
Watch and Learn: Leveraging Expert Knowledge and Language for Surgical Video Understanding—0
LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs—0
Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers—0
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning—0
TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs—0
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video ProcessingCode0
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—0
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers—0
VLog: Video-Language Models by Generative Retrieval of Narration VocabularyCode4
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding—0
Generative Frame Sampler for Long Video Understanding—0
Memory-enhanced Retrieval Augmentation for Long Video Understanding—0
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video ComprehensionCode2
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