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 801–850 of 1149 papers

TitleStatusHype
Vamos: Versatile Action Models for Video UnderstandingCode0
SPOT! Revisiting Video-Language Models for Event Understanding—0
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab—0
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection—0
Beyond still images: Temporal features and input variance resilience—0
Videoprompter: an ensemble of foundational models for zero-shot video understanding—0
Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
Telling Stories for Common Sense Zero-Shot Action RecognitionCode0
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges—0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding—0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Language as the Medium: Multimodal Video Classification through text only—0
Judging a video by its bitstream coverCode0
Motion-Guided Masking for Spatiotemporal Representation Learning—0
MOFO: MOtion FOcused Self-Supervision for Video UnderstandingCode0
Are current long-term video understanding datasets long-term?Code0
Audio-Visual Glance Network for Efficient Video Recognition—0
Temporally-Adaptive Models for Efficient Video Understanding—0
M^3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition—0
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge UnderstandingCode0
VideoGLUE: Video General Understanding Evaluation of Foundation Models—0
ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval ModelsCode0
Temporal Action Proposal Generation With Action Frequency Adaptive NetworkCode0
Learning Space-Time Semantic Correspondences—0
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment—0
MoviePuzzle: Visual Narrative Reasoning through Multimodal Order Learning—0
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental LearningCode0
Action Sensitivity Learning for Temporal Action Localization—0
Learning Higher-order Object Interactions for Keypoint-based Video Understanding—0
A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero ShotCode0
Vehicle Detection and Classification without Residual Calculation: Accelerating HEVC Image Decoding with Random Perturbation Injection—0
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System—0
MRSN: Multi-Relation Support Network for Video Action Detection—0
Search-Map-Search: A Frame Selection Paradigm for Action Recognition—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
Therbligs in Action: Video Understanding through Motion Primitives—0
DOAD: Decoupled One Stage Action Detection Network—0
SVT: Supertoken Video Transformer for Efficient Video Understanding—0
System-status-aware Adaptive Network for Online Streaming Video Understanding—0
Selective Structured State-Spaces for Long-Form Video Understanding—0
Leaping Into Memories: Space-Time Deep Feature SynthesisCode0
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks—0
MINOTAUR: Multi-task Video Grounding From Multimodal QueriesCode0
Semi-Parametric Video-Grounded Text Generation—0
Building Scalable Video Understanding Benchmarks through Sports—0
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