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12/21/2022
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
Transformer-based models have been widely demonstrated to be successful ...
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07/11/2022
Geometry-aware Single-image Full-body Human Relighting
Single-image human relighting aims to relight a target human under new l...
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09/01/2021
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge
We present a summary of the domain adaptive cascade R-CNN method for mit...
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05/10/2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness
Recent works have demonstrated convolutional neural networks are vulnera...
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03/22/2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Graph representation learning is a fundamental task of various applicati...
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09/25/2019
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
Supervised semantic segmentation normally assumes the test data being in...
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07/30/2019
An alarm prediction framework for financial IT system using hybrid machine learning methods
Informatization grows rapidly in all walks of life, going with the enhan...
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06/04/2019
Learning Deep Image Priors for Blind Image Denoising
Image denoising is the process of removing noise from noisy images, whic...
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02/28/2019
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification
One issue with computer based histopathology image analysis is that the ...
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09/06/2018
Discovering Influential Factors in Variational Autoencoder
In the field of machine learning, it is still a critical issue to identi...
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04/10/2018
Outline Objects using Deep Reinforcement Learning
Image segmentation needs both local boundary position information and gl...
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01/19/2018
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray
One of the methods for stratifying different molecular classes of breast...
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10/26/2017