Welcome to Qi Mao's Homepage!
Qi Mao (毛 琪)
Associate Professor
State Key Laboratory of Media Convergence and Communication, Communication University of China
qimao@cuc.edu.cn
About Me
I am now an associate professor at the School of Information and Communication Engineering and State Key Laboratory of Media Convergence and Communication, Communication University of China.
I have obtained my P.H.D degree from Peking University in July, 2021. (Institute of Digital Media which is directed by Prof. Wen Gao)
I received the B.E. degree in Digital Media Technology and B.A. degree in Journalism in 2016 from Communication University of China.
My current research interests lie in
AIGC (Image/Video Controllable Generation and Editing)
Image/Video Compression based on Generative Models.
I am supervised by Prof. Siwei Ma and have been a visiting Ph.D. student at Vision and Learning Lab at University of California, Merced, under the supervision of Prof. Ming-Hsuan Yang
I am lucky to have opportunities to work with Dr. Hsin-Ying Lee (Snap research), Dr. Hung-Yu Tseng (Meta), Dr.Jia-Bin Huang (University of Maryland), Dr. Shiqi Wang (City University of Hong Kong), Dr. Xinfeng Zhang (University of Chinese Academy of Sciences), and Dr. Shanshe Wang (Peking University)
Contact
Prospective students: I am always actively looking for strong and self-motivated MS/Undergraduate students to join our group! If you are interested in working with me, please feel free to drop me email with your research interest and vita. Follow our group's WeChat official account:cuc-mipg.
Selected Publications
[1] Q. Mao, and, S. Ma, Enhancing Style-Guided Image-to-Image Translation via Self-Supervised Metric Learning, IEEE Transactions on Multimedia (TMM), 2023.
[2] J. Chang, J. Zhang, J. Li, S. Wang, Q. Mao, C. Jia, S. Ma, and W. Gao, Semantic-Aware Visual Decomposition for Image Coding, International Journal of Computer Vision (IJCV) , 2023.
[3] J. Chang, Z. Zhao, C. Jia, S. Wang, L. Yang, Q. Mao, J. Zhang, S. Ma, Conceptual compression via deep structure and texture synthesis, IEEE Transactions on Image Processing (TIP), 2022.[Paper]
[4] Q. Mao, H.-Y. Tseng, H.-Y. Lee, J.-B. Huang, S. Ma, and M.-H. Yang, Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors, International Journal of Computer Vision (IJCV) , 2022. [Paper] [Project]
[5] H.-Y. Lee*, H.-Y. Tseng*, Q. Mao*, J.-B. Huang, Y.-D. Lu, M. K. Singh, and M.-H. Yang, DRIT++: Diverse Image-to-Image Translation via Disentangled Representations, International Journal of Computer Vision (IJCV) ,2020.(* equal contribution)
[6] Q. Mao*, H.-Y. Lee*, H.-Y. Tseng*, S. Ma, and M.-H. Yang, Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis, 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun., 2019. (* equal contribution)[Paper] [Project]