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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 276–300 of 307 papers

TitleStatusHype
Leveraging LLMs with Iterative Loop Structure for Enhanced Social Intelligence in Video Question Answering—0
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition—0
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model—0
Scheduled Differentiable Architecture Search for Visual Recognition—0
Temporal superimposed crossover module for effective continuous sign language—0
Coverage Guided Testing for Recurrent Neural Networks—0
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition—0
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs 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
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