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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 201–250 of 307 papers

TitleStatusHype
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model—0
Scheduled Differentiable Architecture Search for Visual Recognition—0
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition—0
Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition—0
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD—0
The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System—0
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain—0
M&M Mix: A Multimodal Multiview Transformer Ensemble—0
Modeling Sub-Event Dynamics in First-Person Action Recognition—0
Morph: Flexible Acceleration for 3D CNN-based Video Understanding—0
Motion-Augmented Self-Training for Video Recognition at Smaller Scale—0
Motion Guided Token Compression for Efficient Masked Video Modeling—0
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling—0
MRET: Multi-resolution Transformer for Video Quality Assessment—0
MultAV: Multiplicative Adversarial Videos—0
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition—0
Multi-Fiber Networks for Video Recognition—0
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation—0
Multimodal Transfer Deep Learning with Applications in Audio-Visual Recognition—0
Multi-object Video Generation from Single Frame Layouts—0
Multiview Pseudo-Labeling for Semi-supervised Learning from Video—0
Noise-Tolerant Learning for Audio-Visual Action Recognition—0
Non-local NetVLAD Encoding for Video Classification—0
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework—0
NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition—0
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure—0
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks—0
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition—0
On the Importance of Spatial Relations for Few-shot Action Recognition—0
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study—0
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition—0
PA3D: Pose-Action 3D Machine for Video Recognition—0
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition—0
Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network—0
Attention Distillation for Learning Video Representations—0
Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition—0
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer—0
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios—0
Action Keypoint Network for Efficient Video Recognition—0
A^2-Nets: Double Attention Networks—0
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case—0
PV-NAS: Practical Neural Architecture Search for Video Recognition—0
Action Detail Matters: Refining Video Recognition with Local Action Queries—0
A Simple and Efficient Baseline for Video Action Recognition—0
Attention Transfer from Web Images for Video Recognition—0
A two-way translation system of Chinese sign language based on computer vision—0
HaltingVT: Adaptive Token Halting Transformer for Efficient Video RecognitionCode0
A^2-Nets: Double Attention NetworksCode0
Heuristic Black-box Adversarial Attacks on Video Recognition ModelsCode0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
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