Area of research
Computer Vision and Pattern Recognition · Aerospace Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Convolutional neural network, Pattern recognition (psychology), Covariance matrix, and Connectomics.
Learning Partial Correlation based Deep Visual Representation for Image Classification
Deep learning based HEp-2 image classification: A comprehensive review
ReDro: Efficiently Learning Large-Sized SPD Visual Representation
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses
Crowdsourcing the creation of image segmentation algorithms for connectomics