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 576–600 of 1149 papers

TitleStatusHype
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving—0
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs—0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models—0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
HuMoCon: Concept Discovery for Human Motion Understanding—0
Efficient Motion-Aware Video MLLM—0
VEU-Bench: Towards Comprehensive Understanding of Video Editing—0
Video Language Model Pretraining with Spatio-temporal Masking—0
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models—0
Flexible Frame Selection for Efficient Video Reasoning—0
OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
Detection-Fusion for Knowledge Graph Extraction from VideosCode0
MVTamperBench: Evaluating Robustness of Vision-Language Models—0
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries—0
HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data—0
Video Domain Incremental Learning for Human Action Recognition in Home Environments—0
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story VideosCode0
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries—0
FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering—0
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