I obtained my Ph.D. degree in 2022 at the Department of Computer Science & Engineering, Lehigh University, where I was fortunated to be advised by Professor Mooi Choo Chuah. Prior to my doctorate study, I completed my M.S. degree at University of Illinois at Chicago.
Ph.D. in Computer Science
2017 - 2022, Lehigh University
M.S. in Electrical and Computer Engineering
2015 - 2017, University of Illinois at Chicago
Bachelor in Automation
2012 - 2016, Northeastern University (China)
A python package that visualizes your data in one line of code. Designed to help debugging Computer Vision project.Code
K-Means Clustering with GUI
A Matlab program to visualize the K-Means Clustering process with GUI and animation.Demo
My first robotic project for practice. We build a simple C++ library to calculate basic forward kinematics and inverse kinematic for Baxter research robots.Code
Pedestrian Flow Simulator
A Matlab program to dynamically simulate the pedestrian flow in an enclosed area. This tool is very helpful for analyzing and designing the exit of an enclosed public place (e.g. subway, mall, museum etc.)Code
Zhihao Zheng, Xiaowen Ying, Zhen Yao, Mooi Choo Chuah (2022). Robustness of Trajectory Prediction Models Under Map-Based Attacks. 2023 IEEE Winter Conference on Applications of Computer Vision (WACV).
Xiaowen Ying, Bo Lang, Zhihao Zheng, Mooi Choo Chuah (2022). Delving into Light-Dark Semantic Segmentation for Indoor Scenes Understanding. 2022 ACMMM Workshop on Photorealistic Image and Environment Synthesis for Multimedia Experiments (PIES-ME).
Xiaowen Ying, Mooi Choo Chuah (2022). UCTNet: Uncertainty-aware Cross-modal Transformer Network for Indoor RGB-D Semantic Segmentation. European conference on computer vision. Springer, Cham, 2022 (ECCV).
Xiaowen Ying, Xin Li, Mooi Choo Chuah (2021). SRNet: Spatial Relation Network for Efficient Single Stage Instance Segmentation in Videos. 2021 ACM Multimedia (ACMMM).
Xiaowen Ying, Xin Li, Mooi Choo Chuah (2020). Weakly-supervised Object Representation Learning for Few-shot Semantic Segmentation. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
Xin Li, Xiaowen Ying, Mooi Choo Chuah (2020). GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving. Arxiv Preprint.
GRIP++ ranked 1st on ApolloScape Trajectory Leaderboard at the time of publication.
Xin Li, Xiaowen Ying, Mooi Choo Chuah (2019). GRIP: Graph-based Interaction-aware Trajectory Prediction. 2019 IEEE Intelligent Transportation Systems Conference (ITSC).
Xiaowen Ying, Xin Li, Mooi Choo Chuah (2018). LiveFace: A Multi-Task CNN for Fast Face-Authentication. 2018 IEEE International Conference on Machine Learning and Applications (ICMLA).
My Chinese name is 英潇文(Ying, Xiaowen). If you are interested in how to pronounce “Xiaowen” like a Chinese speaker, you can click here to hear the audio. My friends in U.S. usually call me Shawn because it pronounces closely to my first name.
I like music and I’ve been playing piano for more than 15 years. I can play a little bit guitar as well. For fun, I sometimes compose my own music and share it to the internet. My works are mainly light music (New Age, Classical, etc.) but I still love listening to all kind of music.
I used to be the president of the University Ballroom Dancing Group when I was an undergraduate student at Northeastern University (China).