research
∙
08/04/2022
Privacy-Preserving Action Recognition via Motion Difference Quantization
The widespread use of smart computer vision systems in our personal spac...
share
research
∙
06/17/2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Deep neural networks have enormous representational power which leads th...
research
∙
07/22/2020
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
Conventional 3D convolutional neural networks (CNNs) are computationally...
research
∙
04/22/2020
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Human pose estimation is a well-known problem in computer vision to loca...
research
∙
01/27/2020
Depthwise-STFT based separable Convolutional Neural Networks
In this paper, we propose a new convolutional layer called Depthwise-STF...
research
∙
11/23/2019
PlantDoc: A Dataset for Visual Plant Disease Detection
India loses 35 detection of plant diseases remains difficult due to the ...
research
∙
09/07/2019
Exploring Temporal Differences in 3D Convolutional Neural Networks
Traditional 3D convolutions are computationally expensive, memory intens...
research
∙
04/30/2019
Attentive Spatio-Temporal Representation Learning for Diving Classification
Competitive diving is a well recognized aquatic sport in which a person ...
research
∙
04/16/2019
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
Recognizing facial expressions is one of the central problems in compute...
research
∙
04/06/2019