Paris

I am currently a Ph.D. student at the ECE 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 research interest lies in computer vision and machine learning. I am 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), NEC-Lab (San Jose, 2019) and Google Research (Seattle, 2020).

My research interests lie in computer vision and machine learning. I'm currently working on large-scale object detection with insufficient data.

[Google Scholar] [GitHub] [CV]

News

  • Two papers are accepted to ICCV 2021.

  • I work as Teaching Assistant for ECE 432.


Publications

Morphable Detector for Object Detection on Demand
Xiangyun Zhao, Xu Zou, and Ying Wu.
The IEEE International Conference on Conference on Computer Vision (ICCV), 2021.
[pdf] [Code is coming soon]
Contrastive Learning for Label Efficient Semantic Segmentation
Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu.
The IEEE International Conference on Conference on Computer Vision (ICCV), 2021.
[pdf] [Code is coming soon]
Object Detection with a Unified Label Space from Multiple Datasets
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, and Ying Wu.
The 16th European Conference on Computer Vision (ECCV), 2020.
[pdf] [project]
Recognizing part attributes with insufficient data
Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu.
The IEEE International Conference on Conference on Computer Vision (ICCV), 2019.
[pdf] [code]
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble
Xu Zou, Sheng Zhong, Yuxin Yan, Xiangyun Zhao, Jiahuan Zhou, Ying Wu.
The IEEE International Conference on Conference on Computer Vision (ICCV), 2019.
[pdf] [code]
A Modulation Module for Multi-task Learning with Application in Image Retrieval
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu.
The 15th European Conference on Computer Vision (ECCV), 2018.
[pdf][code]
Pseudo Mask Augmented Object Detection
Xiangyun Zhao, Shuang Liang, Yichen Wei.
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[pdf]
Peak Piloted Deep Network for Facial Expression Recognition
Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan.
The 14th European Conference on Computer Vision (ECCV), 2016.
[pdf]
Single underwater image enhancement using depth estimation based on blurriness
Yan-Tsung Peng, Xiangyun Zhao, Pamela C. Cosman.
The International Conference on Image Processing (ICIP), 2015.
[pdf]

Research Experience

Computational Vision Lab – Northwestern University
Research Assistant with Prof. Ying Wu Sep. 2017 – current
Google Research – Seattle, WA
Student Researcher with Raviteja Vemulapalli , Boqing Gong and Philip Mansfield Sep. 2020 - Feb. 2021
Google Research – Seattle, WA
Research Intern with Raviteja Vemulapalli , Boqing Gong and Philip Mansfield 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: TPAMI, TIP, Transactions on Affective Computing (T-AC), The Visual Computer (TVCJ)
Conferences: CVPR 2019-2020, ECCV 2020, ICCV 2019, 2021, WACV 2020-2021, AAAI 2020-2021, ICLR 2022.