Department of Electronic Engineering, City University of Hong Kong
P1412, City University of Hong Kong, No. 83 Tat Chee Avenue, Kowloon, Hong Kong SAR, China
My research interests lie in the fields of low-level computer vision, computational photography, and generative models, particularly in image/video deblurring, colorization, enhancement, and human image generation.
Yuzhi Zhao is a Ph.D candidate at the Department of Electronic Engineering, City University of Hong Kong from 2018. He obtained the B.Eng degree at the School of Electronic and Information Engineering (Qiming College), Huazhong University of Science and Technology, 2018. His research interests include low-level computer vision, computational photography, and generative models.I am open to finding a job now!!!
Jul 2022: two papers (“D2HNet” and “WS3D”) are accepted to ECCV 2022
Mar 2022: “ChildPredictor” is accepted to IEEE Transactions on Multimedia
Mar 2022: two papers are submitted to ECCV 2022, one paper is submitted to TIP
Feb 2022: “VCGAN” is accepted to IEEE Transactions on Multimedia
Feb 2022: “SVCNet” has been under major revision of IEEE Transactions on Image Processing
Nov 2021: “Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation” is accepted to AAAI 2022
Sep 2021: “HSGAN” has been under major revision of Transactions on Neural Networks and Learning Systems
Nov 2020: “SCGAN” is accepted to IEEE Transactions on Circuits and Systems for Video Technology
Nov 2020: “Legacy Photo Editing with Learned Noise Prior” is accepted to WACV 2021
May 2020: “HRNet (Hierarchical Regression Network for Spectral Reconstruction from RGB images)” wins the first prize of NTIRE 2020 challenge on hyperspectral reconstruction from a RGB image, and the paper is accepted to CVPR 2020 NTIRE workshop
Sep 2019: “RAW2RGB-GAN (Saliency Map-aided Generative Adversarial Network for RAW to RGB Mapping)” wins the fourth prize of AIM 2019 challenge on RAW to RGB mapping, and the paper is accepted to ICCV 2019 AIM workshop
Sep 2018: I started my Ph.D. study in the City University of Hong Kong