Ph.D., Department of Electronic Engineering, City University of Hong Kong

Research Interests

Dr. Zhao’s research interests lie in computer vision and deep learning, mainly including low-level vision, computational photography, generative models, and representation learning. Recently, he mainly focuses on applications of diffusion models.

Short Bio

Dr. Zhao received the Ph.D. degree from Department of Electronic Engineering, City University of Hong Kong in February 2023. He received the B.Eng. degree from School of Electronic and Information Engineering (Qiming College), Huazhong University of Science and Technology, June 2018.

He has interned at AI Imaging Group, SenseTime and Lightspeed and Quantum Studios, Tencent IEG, working on computer vision research and development. He has been also nominated as a reviewer for many international flagship conferences and journals such as CVPR, ICCV, ECCV, and several IEEE Transactions.

He has collected the largest joint deblurring and denoising dataset D2-Dataset, one-of-the-largest kinship verification and generation dataset FF-Database, a legacy photo dataset LP Dataset, and the largest Quad-Bayer to RGB mapping dataset. You can find his developed open-sourced projects on his GitHub Project Page.

Selected Publication

Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, and Lai-Man Po. D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration. ECCV, 2022 (PDF) (Code/Dataset) (URL)

Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, et al. ChildPredictor: A Child Face Prediction Framework with Disentangled Learning. IEEE Transactions on Multimedia, 2022 (PDF) (Code/Dataset) (URL)

Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu, YAU Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou. VCGAN: Video Colorization with Hybrid Generative Adversarial Network. IEEE Transactions on Multimedia, 2022 (PDF) (Code) (URL)

Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing-Yin Yu, YAU Rehman. SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network. IEEE Transactions on Circuits and Systems for Video Technology, 2020 (PDF) (Code) (URL)

Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing-Yin Yu. SVCNet: Real-time Scribble-based Video Colorization with Pyramid Networks. Under Major Revision of IEEE Transactions on Image Processing

Yuzhi Zhao, Lai-Man Po, Tingyu Lin, Qiong Yan, Wei Liu, Pengfei Xian. HSGAN: Hyperspectral Reconstruction from RGB Images with Generative Adversarial Network. Under Major Revision of IEEE Transactions on Neural Networks and Learning Systems (Code)

Yuzhi Zhao, Lai-Man Po, Xin Ye, Qiong Yan, Yongzhe Xu. Joint Image Deblurring and Denoising with Dual-exposure Quad-Bayer Sensors. Under Review of IEEE Transactions on Image Processing (Code)

Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin. Hierarchical Regression Network for Spectral Reconstruction from RGB images. CVPR Workshops, 2020 (CVPR NTIRE Workshop) (PDF) (Code) (Poster) (URL)

Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, and Ben M. Chen. Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination. ECCV, 2022 (PDF) (Code) (URL)

Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing-Yin Yu. Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation. AAAI, 2022 (PDF) (Code) (URL)

Wing-Yin Yu, Lai-Man Po, Jingjing Xiong, Yuzhi Zhao, Pengfei Xian. ShaTure: Shape and Texture Deformation for Human Pose and Attribute Transfer. IEEE Transactions on Image Processing, 2022 (PDF) (URL)