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Video Recognition

Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.

Papers

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Showing 126–150 of 307 papers

TitleStatusHype
Motion Guided Token Compression for Efficient Masked Video Modeling—0
MRET: Multi-resolution Transformer for Video Quality Assessment—0
Audio-Visual Fusion Layers for Event Type Aware Video Recognition—0
GTM: Gray Temporal Model for Video Recognition—0
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments—0
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition—0
MultAV: Multiplicative Adversarial Videos—0
Multi-Fiber Networks for Video Recognition—0
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning—0
Cross-Modal Transferable Adversarial Attacks from Images to Videos—0
Generating Videos with Scene Dynamics—0
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition—0
Correlation Net: Spatiotemporal multimodal deep learning for action recognition—0
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification—0
Gameplay Highlights Generation—0
A two-way translation system of Chinese sign language based on computer vision—0
Morph: Flexible Acceleration for 3D CNN-based Video Understanding—0
Condensing a Sequence to One Informative Frame for Video Recognition—0
Action Detail Matters: Refining Video Recognition with Local Action Queries—0
M&M Mix: A Multimodal Multiview Transformer Ensemble—0
FlowGraph2Text: Automatic Sentence Skeleton Compilation for Procedural Text Generation—0
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition—0
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing—0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning—0
Attention Transfer from Web Images for Video Recognition—0
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