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Manisha Verma
Specially-Appointed Researcher/Fellow
Institute for Datability Science
Osaka University
Contact
email: mverma@ids.
webpage:
https://sites.google.com/site/manishaverma89/
Please add
osaka-u.ac.jp
to complete email address
Interests
Computer Vision
Deep Learning
Facial Expression Analysis
Pose Recognition
Medical Imaging
Latest
Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis
Depthwise spatio-temporal STFT convolutional neural networks for human action recognition
Match them up: visually explainable few-shot image classification
Multi-label disengagement and behavior prediction in online learning
SCOUTER: Slot attention-based classifier for explainable image recognition
Learners' efficiency prediction using facial behavior analysis
MTUNet: Few-shot image classification with visual explanations
AI Hospital
Yoga-82: a new dataset for fine-grained classification of human poses
IterNet: retinal image segmentation utilizing structural redundancy in vessel networks
Joint learning of vessel segmentation and artery/vein classification with post-processing
Facial expression recognition with skip-connection to leverage low-level features
Society 5.0 Projects
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