Yu Rong

I am currently a third year Ph.D candidate in Multimedia Laboratory in The Chinese University of Hong Kong supervised by Prof. Xiaoou Tang and Prof. Chen Change Loy. I am also working with Dr. Ziwei Liu and Cheng Li.

I recieved my B.E from computer sicence and techonoly department of Tsinghua University in 2016. Before coming to CUHK, I worked as computer vision researcher in Sensetime from Apr. 2015 to Aug. 2017 and worked closely with Cheng Li and Yan Xia (I worked as intern from Apr. 2015 to Jun. 2016 and full-time staff from Jul. 2016 to Aug. 2017).

My research interests include computer vision and machine learning. Especially, I am interested in 3D vision and human understanding in computer vision.

Email / Github / Google Scholar



Aug. 2012 - Jul. 2016 , Tsinghua University
Department of Computer Science and Technology,
Balchlor of Engineering


July. 2017 - Present, The Chinese Unviersity of Hong Kong
Department of Information Engineering
Ph.D. Candiate

Industry Experience
sensetime Apr. 2015 - Jul.2017, SenseTime Research
Computer Vision Researcher.

During my working in sensetime, I majorly took part in research projects in OCR and Face Recogtion. These projects including but not limited to: ID card recogntion (Given an image of ID card, recognize important information like name, address); text detection in whild scene (Use modified RPN); build remote training system which could run automatically and generate a face verification model.


Delving Deep into Hybrid Annotations for 3D Human Recovery in the Wild
Yu RongZiwei LiuCheng LiKaidi CaoChen Change Loy
International Conference on Computer Vision (ICCV), 2019
[pdf]  [project page]  [code]

We provided sufficient investigation of annotation design for in-the-wild 3D human reconstruction.


Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Kaidi Cao*Yu Rong*Cheng LiXiaoou TangChen Change Loy
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[pdf]  [project page]  [code]

We presented a Deep Residual EquivAriant Mapping (DREAM) block to improve the performance of face recognition on profile faces.

Academic Activities