Jun Xing (邢骏)

junxnui@gmail.com        

My work focuses on a hybrid research of Graphics, Human Computer Interaction and Machine Learning. I have broad interest in deep learning for text, image and video analysis and generation, VR/AR for content creation, and UI/UX design. In particular, I am interested in analyzing the repetitions in human-centered activities, such as painting and writing, and providing online “intelligent” suggestions, via a natural interface, to reduce manual labor while improving quality and performance.


I am now a postdoc at the Vision and Graphics group of Institute for Creative Technologies working with Prof. Hao Li. Prior to that, I got my PhD in CS from the University of Hong Kong, under the supervision of Prof. Li-Yi Wei, and my B.S. in Electronic Engineering and Information Science from University of Science and Technology of China (USTC), where my research was about Super-resolution of single image.


Find my CV and research statement.


Work Experience

Publications


Autocomplete 3D Sculpting

Mengqi Peng, Jun Xing, Li-Yi Wei

arXiv

[paper] [Media]

 

We propose an interactive 3D sculpting system that assists users in freely creating models without predefined scope.

 



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

[paper] [Youtube] [presentation/slides]

 

We present a new animation framework and interactive system that enables artists to design elemental dynamics by sketching the underlying forces.

 



Autocomplete Hand-drawn Animations

Jun Xing, Li-Yi Wei, Takaaki Shiratori and Koji Yatani

SIGGRAPH Asia 2015

[paper] [Youtube] [Wired] [Fastcompany]

 

We present an interactive drawing system that helps users produce animation more easily and in a better quality while preserving manual drawing practices.

 



Autocomplete Painting Repetitions

Jun Xing, Hsiang-Ting Chen and Li-Yi Wei

SIGGRAPH Asia 2014

[paper] [Youtube]

 

We present an interactive digital painting system that autocompletes tedious repetitions while preserving nuanced variations and maintaining natural flows.


PhD Thesis


Autocomplete Hand-drawn Sketches and Animations

Jun Xing

University of Hong Kong

[thesis]

 

This thesis is basically a concatenation of my first three projects.