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 251300 of 1149 papers

TitleStatusHype
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition0
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual SegmentationCode1
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video UnderstandingCode4
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks0
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling0
MECD+: Unlocking Event-Level Causal Graph Discovery for Video ReasoningCode1
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video CaptioningCode1
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding0
Zero-shot Shark Tracking and Biometrics from Aerial Imagery0
From My View to Yours: Ego-Augmented Learning in Large Vision Language Models for Understanding Exocentric Daily Living ActivitiesCode1
Valley2: Exploring Multimodal Models with Scalable Vision-Language DesignCode3
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?Code2
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding0
LongViTU: Instruction Tuning for Long-Form Video Understanding0
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs0
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
Unifying Specialized Visual Encoders for Video Language ModelsCode1
Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space ModelsCode1
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding0
Video Language Model Pretraining with Spatio-temporal Masking0
Adaptive Keyframe Sampling for Long Video UnderstandingCode2
HuMoCon: Concept Discovery for Human Motion Understanding0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction0
Efficient Motion-Aware Video MLLM0
Language-Guided Audio-Visual Learning for Long-Term Sports AssessmentCode1
VEU-Bench: Towards Comprehensive Understanding of Video Editing0
Flexible Frame Selection for Efficient Video Reasoning0
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models0
OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models0
Online Video Understanding: OVBench and VideoChat-OnlineCode2
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval0
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLMCode3
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding0
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language ModelsCode2
Detection-Fusion for Knowledge Graph Extraction from VideosCode0
ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video UnderstandingCode1
MVTamperBench: Evaluating Robustness of Vision-Language Models0
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries0
HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data0
Video Domain Incremental Learning for Human Action Recognition in Home Environments0
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story VideosCode0
PruneVid: Visual Token Pruning for Efficient Video Large Language ModelsCode2
FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal GroundingCode1
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language ModelsCode2
Do Language Models Understand Time?Code1
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