Yu Zeng’s homepage

I am a PhD student at Johns Hopkins University being advised by Prof. Vishal M Patel. My research interest lies in computer vision and deep learning. I have focused on two main areas: (1) deep generative models for image synthesis and editing, and (2) label-efficient deep learning. By combining these research areas, I aim to bridge human creativity and machine intelligence through user-friendly and socially responsible models while minimizing the need for intensive human supervision.

Prior to joining JHU, I worked as a researcher at Tencent. I also had the opportunities to work with the research teams at Adobe and NVDIA during my PhD and Master studies.


Selected Honors & Awards

  • KAUST AI Initiative Rising Stars in AI 
  • JHU ECE Kewei Yang and Grace Xin Fellowship
  • China National Scholarship
  • Third place of 2018 OPPO Top AI Competition (Portrait Segmentation), 50,000 RMB bonus (3rd from 456 teams)

Selected Publications | Full List | Google Scholar

SceneComposer: Any-Level Semantic Image Synthesis. CVPR. 2023. (Highlight, top 2.5% submission)
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel
pdf | Project Page

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches. CVPR. 2022.
Yu Zeng, Zhe Lin, Vishal M. Patel
pdf | Project | Demo | Code


CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV. 2021.
Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel
pdf | Code

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. ECCV. 2020.
Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu
pdf | Project | Demo

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. ICCV. 2019.
Zeng, Yu and Zhuge, Yunzhi and Lu, Huchuan and Zhang, Lihe
pdf | Code

Multi-source Weak Supervision for Saliency Detection. CVPR. 2019.
Zeng, Yu and Zhuge, Yunzhi and Lu, Huchuan and Zhang, Lihe and Qian, Mingyang and Yu, Yizhou
pdf | Code
Learning to Detect Salient Object with Multi-source Weak Supervision. TPAMI. 2021.
H Zhang, Y Zeng, H Lu, L Zhang, J Li, J Qi
pdf | Code

Learning to Promote Saliency Detectors. CVPR. 2018.
Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji
pdf | Code