Welcome to my homepage
Daniel Yu CAO
I am now a PhD candidate at The Hong Kong Polytechnic University. The research areas that I am involved in and interested in include deep learning-based Computer Graphics and Computer Vision. Previously I was a Research Assistant in Laboratory for Artificial Intelligence in Design (AiDLab), working with Prof Calvin Wong. In 2020, I completed my Master’s degree from Xidian University under the supervision of Prof Rui Song. During my Master’s, I visited the Chinese University of Hong Kong (Shenzhen) and Shenzhen Research Institute of Big Data as a visiting student supervised by Dr Xiaoguang Han.
Google Scholar GitHub choyudaniel@gmail.com
News
05.2024
Our paper was accepted to CGI 2024.12.2023
Our paper was accepted to TVCG 2024.04.2023
Our paper was accepted to CVPRW 2023.03.2023
Our paper was accepted to ICME 2023.01.2022
I registered as a PhD student at The Hong Kong Polytechnic University supervised by Dr Tracy Mok.08.2021
I joined The Hong Kong Polytechnic University as a Research Assistant.11.2020
I joined the Laboratory for Artificial Intelligence in Design (AiDLab) as a Research Assistant.10.2020
We won the Chinagraph Award for Graphical Open Source Datasets for “DeepFashion3D”.07.2020
I passed the oral defense of my Master’s dissertation.04.2020
Our paper was accepted to ECCV 2020.03.2019
I joined The Chinese University of Hong Kong (Shenzhen) and SRIBD as a Research Assistant.09.2017
I joined State Key Laboratory of Integrated Services Networks as a postgraduate student (Master).07.2017
I graduated from Qingdao Institute of Technology.11.2015
I won the ‘China National Scholarship’.
Publications
- Xin Duan, Yu Cao, Renjie Zhang, Xin Wang, and Ping Li. Shadow-Aware Image Colorization. CGI 2024
- Yu Cao, Xiangqiao Meng, P. Y. Mok, Tong-Yee Lee, Xueting Liu, and Ping Li. AnimeDiffusion: Anime Diffusion Colorization. TVCG 2024 Project
- Hao Tian, Yu Cao, and P. Y. Mok. DETR-Based Layered Clothing Segmentation and Fine-Grained Attribute Recognition. CVPRW 2023 (Poster Presentation)
- Yu Cao, Hao Tian, and P. Y. Mok. Attention-Aware Anime Line Drawing Colorization. ICME 2023 (Poster Presentation)
- Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, and Xiaoguang Han. Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images. ECCV 2020 (Oral Presentation) Project