Personal Information

  • Name: Jingyu Shao
  • Address:
    Room 9434, Boelter Hall
    University of California, Los Angeles
    Los Angeles, CA 90095
  • Email: shaojy15@ucla.edu

About me

I am a Master student at Department of Statistics, UCLA. I am currently doing Computer Vision research at Center for Vision, Cognition, Learning, and Autonomy advised by Prof. Song-chun Zhu.

Before I came to UCLA, I obtained my B.Eng. degree from Tsinghua University. I also did a summer internship at TTIC, working with Prof. Greg Shakhnarovich and Prof. Ayan Chakrabarti.

Projects

Oct 2015 - Present

EXP: Exploring a New Genre for Learning and Assessment Using Hybrid Reality

University of California, Los Angeles

We propose to develop hybrid reality learning and assessment (HRLA) environments to improve the learning process and assessment models in STEM (Science, Technology, Engineering and Math) education.

  • The HRLA interface with four learning modes
  • State-of-the-art computer vision algorithms for analyzing gestural and behavioral data during learning and interactions
  • Tactile glove with build-in force sensor
  • Empirical testing and evaluations in the lab and classroom

July 2015 - Sept 2015

Depth Estimation from Single Image using Convolutional Neural Networks

Toyota Technological Institute at Chicago

Depth estimation from single monocular image has been a traditional yet challenging problem. In this project, we tried to leverage the powerful Convolutional Neural Networks to tackle this ill-posed problem in indoor scenario.

  • Re-use of convolution computation
  • Novel loss function that introduces derivatives and confidence level
  • Conjugate gradient descent optimization

Jan 2015 - June 2015

Object cutout from multi-view images using level set of probabilities

Tsinghua University

A new multi-view image co-segmentation framework based on 3D level-sets driven by three independent and complementary terms, improving the segmentation masks as well as the geometric and photometric models derived from original images iteratively.

  • Ability to represent boundary with arbitrary topology
  • Improved by 4D light field image data structure
  • Flexibility in designing the energy function

Education

Jan 2016 - Present

University of California, Los Angeles

Master, Department of Statistics

I am a member of Center for Vision, Cognition, Learning and Autonomy, advised by Prof. Song-chun Zhu. My current research lies in the intersection of computer vision and education, where I try to explore leveraging the state-of-the-art 3D sensors and technology for education purposes.

July 2015 - Sept 2015

Toyota Technological Institute at Chicago

Visiting

I spent the summer of 2015 at TTIC, working on depth estimation from single monocular image using Convolutional Neural Networks.

Aug 2011 - July 2015

Tsinghua University

Bachelor of Engineering, Department of Automation

I spent four amazing years at Tsinghua University. There, I both studied hard and played hard ;)