Jun Xing 邢骏


My research combines modern concepts in Computer Graphics, Computer Vision, Machine Learning and Human Computer Interaction, with broad applications in digital painting, animation, sculpting, image, and geometry analysis and synthesis, as well as UI/UX design. In particular, I am interested in analyzing the human-centered activities of authoring the various digital contents, and providing online “intelligent” suggestions, via a natural interface, to reduce manual labor while improving quality and performance. Here is my CV and research statement.

I am now a postdoc at the Vision and Graphics group of Institute for Creative Technologies working with Dr. Hao Li. Prior to that, I got my PhD in CS from the University of Hong Kong, under the supervision of Dr. Li-Yi Wei, and my B.S. from University of Science and Technology of China (USTC).

Recent News
Work Experience
  1. University of Southern California, Postdoc in the Vision and Graphics group, Los Angeles, May 1, 2017 - Present
  2. Adobe, Procedural Imaging Group Intern, San Jose, July 11, 2016 - Sep. 30, 2016
  3. Autodesk Research, UI Graphics Research Intern, Toronto, Jan. 11, 2016 - April 30, 2016
  4. Microsoft Research Asia, Graphics Research Intern, Beijing, Dec. 08, 2014 - April 30, 2015
  1. HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong, Hao Li ECCV 2018
  2. Deep Volumetric Video From Very Sparse Multi-View Performance Capture Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, Hao Li ECCV 2018
  3. Identity Preserving Face Completion for Large Ocular Region Occlusion Yajie Zhao, Weikai Chen, Jun Xing, Ruigang Yang BMVC 2018
  4. Autocomplete 3D Sculpting Mengqi Peng, Jun Xing, Li-Yi Wei SIGGRAPH 2018
  5. Mesoscopic Facial Geometry Inference using Deep Neural Networks Loc Huynh, Weikai Chen, Shunsuke Saito, Jun Xing, Koki Nagano, Andrew Jones, Hao Li, Paul Debevec CVPR 2018 (Spotlight Presentation)
  6. Sequence-to-Sequence Learning via Shared Latent Representation Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao AAAI 2018
  7. Energy Brushes: Interactive Tools for Illustrating Stylized Elemental Dynamics Jun Xing, Rubaiat Habib Kazi, Tovi Grossman, Li-Yi Wei, Jos Stam and George Fitzmaurice UIST 2016
  8. Autocomplete Hand-drawn Animations Jun Xing, Li-Yi Wei, Takaaki Shiratori and Koji Yatani SIGGRAPH Asia 2015
  9. Autocomplete Painting Repetitions Jun Xing, Hsiang-Ting Chen and Li-Yi Wei SIGGRAPH Asia 2014
  1. Deep Learning-Based Photoreal Avatars for Online Virtual Worlds in iOS Koki Nagano, Jaewoo Seo, Kyle San, Aaron Hong, Mclean Goldwhite, Jun Xing, Stuti Rastogi, Jiale Kuang, Aviral Agarwal, Hanwei Kung, Caleb Arthur, Carrie Sun, Stephen Chen, Jens Fursund, Hao Li SIGGRAPH 2018 Realtimve Live!
PhD Thesis
  1. Autocomplete Hand-drawn Sketches and Animations
    Jun Xing         University of Hong Kong [thesis]     This thesis is basically a concatenation of my first three projects.