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 526–550 of 1149 papers

TitleStatusHype
LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs—0
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video ProcessingCode0
TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs—0
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
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization—0
Generative Frame Sampler for Long Video Understanding—0
Memory-enhanced Retrieval Augmentation for Long Video Understanding—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers—0
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—0
BEARCUBS: A benchmark for computer-using web agents—0
ALLVB: All-in-One Long Video Understanding Benchmark—0
Towards Fine-Grained Video Question Answering—0
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection—0
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models—0
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos—0
M-LLM Based Video Frame Selection for Efficient Video Understanding—0
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model—0
An Analysis of Data Transformation Effects on Segment Anything 2—0
Fine-Grained Video Captioning through Scene Graph Consolidation—0
LongCaptioning: Unlocking the Power of Long Caption Generation in Large Multimodal Models—0
AVD2: Accident Video Diffusion for Accident Video Description—0
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