35 citations · 61 across the 7 of their papers we have counts for
7 papers
Pore-scale Image Patch Dataset and A Comparative Evaluation of Pore-scale Facial Features
Dong Li, HuaLiang Lin, JiaYu Li
The weak-texture nature of facial skin regions presents significant challenges for local descriptor matching in applications such as facial motion analysis and 3D face reconstructi…
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Jiayun Li, Wenyuan Li, Anthony Sisk +4
Histopathological images provide rich information for disease diagnosis. Large numbers of histopathological images have been digitized into high resolution whole slide images, open…
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention
Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu +4
Deep Convolutional Neural Networks (CNNs) have been repeatedly proven to perform well on image classification tasks. Object detection methods, however, are still in need of signifi…
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Wenyuan Li, Zichen Wang, Yuguang Yue +4
In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training. Previous results have illustrated that generative adversarial netwo…
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Jiayun Li, Wenyuan Li, Arkadiusz Gertych +3
Histology review is often used as the `gold standard' for disease diagnosis. Computer aided diagnosis tools can potentially help improve current pathology workflows by reducing exa…
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
Wenyuan Li, Zichen Wang, Jiayun Li +3
Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention. Among them, two distinct approaches have achieved competiti…
Image captioning with weakly-supervised attention penalty
Jiayun Li, Mohammad K. Ebrahimpour, Azadeh Moghtaderi +1
Stories are essential for genealogy research since they can help build emotional connections with people. A lot of family stories are reserved in historical photos and albums. Rece…