3 citations · 3 across the 5 of their papers we have counts for
5 papers
Contrastive Learning for Low-light Raw Denoising
Taoyong Cui, Yuhan Dong
Image/video denoising in low-light scenes is an extremely challenging problem due to limited photon count and high noise. In this paper, we propose a novel approach with contrastiv…
Bokeh Rendering Based on Adaptive Depth Calibration Network
Lu Liu, Lei Zhou, Yuhan Dong
Bokeh rendering is a popular and effective technique used in photography to create an aesthetically pleasing effect. It is widely used to blur the background and highlight the subj…
TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks
Taoyong Cui, Jianze Li, Yuhan Dong +1
The orthogonality constraints, including the hard and soft ones, have been used to normalize the weight matrices of Deep Neural Network (DNN) models, especially the Convolutional N…
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Ruitao Zhang, Xueying Han, Ijaz Gul +8
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although…
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu, Ersi Zhang, Lulu Xu +13
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…