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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 1149 papers

TitleStatusHype
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
M^3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition—0
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling—0
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models—0
MambaMia: A State-Space-Model-Based Compression for Efficient Video Understanding in Large Multimodal Models—0
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations—0
Massively Parallel Video Networks—0
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model—0
MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding—0
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization—0
Memory Consolidation Enables Long-Context Video Understanding—0
Memory-enhanced Retrieval Augmentation for Long Video Understanding—0
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding—0
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD—0
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound—0
Mid-level Representation for Visual Recognition—0
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain—0
M-LLM Based Video Frame Selection for Efficient Video Understanding—0
MLVTG: Mamba-Based Feature Alignment and LLM-Driven Purification for Multi-Modal Video Temporal Grounding—0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding—0
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning—0
MM-Ego: Towards Building Egocentric Multimodal LLMs—0
Moment Quantization for Video Temporal Grounding—0
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
Morph: Flexible Acceleration for 3D CNN-based Video Understanding—0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models—0
Motion-Guided Masking for Spatiotemporal Representation Learning—0
Motion Sensitive Contrastive Learning for Self-supervised Video Representation—0
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies—0
MovieNet: A Holistic Dataset for Movie Understanding—0
MoviePuzzle: Visual Narrative Reasoning through Multimodal Order Learning—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
MRSN: Multi-Relation Support Network for Video Action Detection—0
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language—0
Multi-kernel learning of deep convolutional features for action recognition—0
Multimodal High-order Relation Transformer for Scene Boundary Detection—0
Multimodal Intent Discovery from Livestream Videos—0
Multi-modal Representation Learning for Video Advertisement Content Structuring—0
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation—0
Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding—0
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization—0
Multi-Scale Contrastive Learning for Video Temporal Grounding—0
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding—0
Multiview Transformers for Video Recognition—0
MVTamperBench: Evaluating Robustness of Vision-Language Models—0
Representation Learning on Visual-Symbolic Graphs for Video Understanding—0
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision—0
Non-local NetVLAD Encoding for Video Classification—0
Show:102550
← PrevPage 20 of 23Next →

No leaderboard results yet.