Qing Liu's Homepage

About me

My current work mainly involves deep generative models for image synthesis and editing, amodal scene analysis and decomposition. My PhD dissertation focused on object recognition and parsing with weak supervision, including weakly supervised learning, domain adaptation (learning from synthetic), few-shot/zero-shot learning, etc.。

Education

Ph.D. in Computer Science, Johns Hopkins University
M.S.E. in Computer Science, Johns Hopkins University
M.S. in Molecular and Cell Biology, The University of Texas at Dallas
B.S. in Chemistry and Psychology , Peking University

Publication
Experience

Recent Publication Highlights

Object-level Scene Deocclusion.
Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu.
SIGGRAPH 2024.
[Project Page] [Paper (coming soon)]
UniHuman: A Unified Model for Editing Human Images in the Wild.
Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin.
CVPR 2024.
[Paper] [Dataset] [Code]
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control.
Jaskirat Singh, Jianming Zhang, Qing Liu, Cameron Younger Smith, Zhe Lin, Liang Zheng.
CVPR 2024.
[Paper (coming soon)]
Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion.
Bowen Zhang, Qing Liu, Jianming Zhang, Yilin Wang, Liyang Liu, Zhe Lin, Yifan Liu.
AAAI 2024 (Oral).
[Dataset] [Paper]
PHOTOSWAP: Personalized Subject Swapping in Images.
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang.
NeurIPS 2023.
[Paper] [Project Page]
Scenecomposer: Any-Level Semantic Image Synthesis.
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M Patel.
CVPR 2023 (Highlight).
[Paper] [Project Page]
Towards Open-World Segmentation of Parts.
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian Price.
CVPR 2023.
[Paper]
Learning Part Segmentation Through Unsupervised Domain Adaptation from Synthetic Vehicles.
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille.
CVPR 2022 (Oral).
[Paper] [Dataset]

Experience

Work Experience

Research Scientist/Engineer, Adobe : 2021/11-Present
Research Intern, Facebook AI : 2020/05-2020/09
Applied Scientist Intern, Amazon AWS ReKognition: 2019/06-2019/09
Applied Scientist Intern, Amazon Transaction Risk Management Systems: 2018/05-2018/08