Me

Xiangyun Zhao

Email: zhaoxiangyun915 [at] gmail [dot] com
[Google Scholar] [GitHub] [CV]

About Me

Hello! My name is Xiangyun Zhao. I am currently a Ph.D. Candidate studying Computer Vision and Machine Learning at the EECS department @ Northwestern University. My advisor is Professor Ying Wu. I obtained my bachelor degree from University of Electronic Science and Technology of China(UESTC).

My reserach is to understand computer vision problems. I have some experience on some well-defined problems, such as object detection, segmentation, image retrieval and face recognition. Currently, I am focused on solving large-scale recognition problem.

I was very fortunate to have interned at 360 AI Institute(Beijing, 2015), Microsoft Research Asia (Beijing, 2016), Adobe Research (San Jose, 2017), Baidu Research (Sunnyvale, 2018) and NEC-Lab(San Jose, 2019). I am currently a reserach intern at Google Research.

Publications

Object Detection with a Unified Label Space from Multiple Datasets
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, and Ying Wu
To appear in the 16th European Conference on Computer Vision(ECCV), Glasgow, United Kingdom, 2020

Recognizing part attributes with insufficient data
Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu
Published in the IEEE International Conference on Conference on Computer Vision(ICCV), Seoul, Korea, 2019
[pdf][code]


Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble
Xu Zou, Sheng Zhong, Yuxin Yan, Xiangyun Zhao, Jiahuan Zhou, Ying Wu
Published in the IEEE International Conference on Conference on Computer Vision(ICCV), Seoul, Korea, 2019
[pdf]


A Modulation Module for Multi-task Learning with Application in Image Retrieval
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu
Published in the 15th European Conference on Computer Vision(ECCV), Munich, Germany, 2018
[pdf][code]


Pseudo Mask Augmented Object Detection
Xiangyun Zhao, Shuang Liang, Yichen Wei
Published in the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Salt Lake City, United States, 2018
[pdf]


Peak Piloted Deep Network for Facial Expression Recognition
Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan
Published in the 14th European Conference on Computer Vision(ECCV), Amsterdam, The Netherlands, 2016
[pdf]


Single underwater image enhancement using depth estimation based on blurriness
Yan-Tsung Peng, Xiangyun Zhao, Pamela C. Cosman
Published in The International Conference on Image Processing (ICIP), Quebec City, Canada, 2015
[pdf]

Research Experience

Computational Vision Lab – Northwestern University
Research Assistant with Prof. Ying Wu Sep, 2017 – current

I am researching on Scene understanding, large-scale object detection, and machine learning techniques for visual recognition problems.
Google Research – Seattle, WA
Research Intern with Raviteja Vemulapalli and Boqing Gong June – Sep., 2020

Media Analytics – NEC Labs, San Jose
Research Intern with and Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai and Manmohan Chandraker June – Sep., 2019

Institute of Deep Learning – Baidu Research, Sunnyvale
Research Intern with Yi Yang, Feng Zhou and Yingze Bao June – Sep., 2018

Creative Technology Lab – Adobe Research, San Jose
Research Intern with Haoxiang Li and Xiaohui Shen June – Sep., 2017

Visual Computing group – Microsoft Research Asia, Beijing
Research Intern with Yichen Wei and Jifeng Dai April – Nov., 2016

360 AI Institute – Qihoo 360, Beijing
Research Intern advised by Prof. Shuicheng YanSep., 2015– April, 2016

Reivewer

Journals: T-PAMI, Transactions on Affective Computing(T-AC), The Visual Computer (TVCJ)
Conferences: CVPR 2019-2020, ICCV 2019, WACV 2020, AAAI 2020

Education

Northwestern University – Evanston, IL
Electrical Engineering and Computer Science, Ph.D. Sep, 2017 – Present
University of California, San Diego – San Diego, CA
Electrical and Computer Engineering, Master of Science Sep, 2014 – June, 2017
University of Electronic Science and Technology of China – Chengdu, China
Electrical Information Engineering, Bachelor of Engineering Sep, 2010 – June, 2014

GPA: 3.91, Rank: Top 3%