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cs.CV2023
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…
cs.CV2023
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…
cs.CV2022
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…