22 citations · 40 across the 6 of their papers we have counts for
5 papers · 1 filter
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Liangzhi Li, Bowen Wang, Manisha Verma +3
Explainable artificial intelligence has been gaining attention in the past few years. However, most existing methods are based on gradients or intermediate features, which are not…
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
Sudhakar Kumawat, Manisha Verma, Yuta Nakashima +1
Conventional 3D convolutional neural networks (CNNs) are computationally expensive, memory intensive, prone to overfitting, and most importantly, there is a need to improve their f…
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Liangzhi Li, Manisha Verma, Yuta Nakashima +2
Retinal imaging serves as a valuable tool for diagnosis of various diseases. However, reading retinal images is a difficult and time-consuming task even for experienced specialists…
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Manisha Verma, Sudhakar Kumawat, Yuta Nakashima +1
Human pose estimation is a well-known problem in computer vision to locate joint positions. Existing datasets for the learning of poses are observed to be not challenging enough in…
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
Recognizing facial expressions is one of the central problems in computer vision. Temporal image sequences have useful spatio-temporal features for recognizing expressions. In this…