Avatar

Tao Sun

M.Sc. in Computer Science

ETH Zürich

Biography

I am currently pursuing my Master’s Degree of Computer Science at ETH Zurich, Switzerland, where I have been working with Prof. Fisher Yu at the VIS Group of Computer Vision Lab (ETH Zurich) on multi-task vision learning and Dr. Iro Armeni on 3D point cloud perception. My research interests lie primarily in the area of computer vision with an emphasis on robustness and multi-task learning.

Previously, I obtained my Bachelor’s Degree of Software Engineering from Tongji University, where I closely worked with Prof. Yin Wang in computer vision. I also got supervision from Research Scientist Dr. Saikat Basu of Facebook in a research collaboration.

Interests

  • 2D/3D Scene Understanding
  • Multi-task Learning
  • Robustness

Education

  • M.Sc. in Computer Science, 2020 - Now

    D-INFK, ETH Zürich, Switzerland

  • B.Eng. in Software Engineering, 2016 - 2020 (GPA: 4.83 / 5.0, Ranking: 2 / 179)

    School of Software Engineering, Tongji University, Shanghai

Publications

Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu (2022). SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. In CVPR 2022.

PDF Code Poster Talk Demo

Janis Postels, Mattia Segu, Tao Sun, Luca Sieber, Luc Van Gool, Fisher Yu, Federico Tombari (2022). On the Practicality of Deterministic Epistemic Uncertainty. In ICML 2022.

PDF

Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang (2019). Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. In CVPR 2019.

PDF Code Poster Supp

Tao Sun, Zonglin Di, Yin Wang (2018). Combining Satellite Imagery and GPS Data for Road Extraction. In ACM SIGSPATIAL Workshop 2018 (GeoAI) (Oral).

PDF Slides Link

Tao Sun, Zehui Chen, Wenxiang Wen, Yin Wang (2018). Stacked U-Nets with Multi-output for Road Extraction. In CVPR Workshop 2018 (DeepGlobe).

PDF Poster

Lecture Notes

Guarantees for ML 2021

My lecture notes for Guarantees for Machine Learning 2021, ETHz

Advanced ML 2020

My lecture notes for Advance Machine Learning 2020, ETHz

Experience

 
 
 
 
 

Research Student

Computer Vision Lab (CVL), ETH Zürich

Apr 2021 – Present Zürich
Working in the Visual Intelligence and Systems (VIS) group at the Computer Vision Lab (ETH Zurich), under supervision of Prof. Dr. Fisher Yu and Mattia Segu. My research lie in the area of computer vision and the robustness of deep learning for autonomous driving.
 
 
 
 
 

Research Student

Computer Vision and Geometry (CVG) Group, ETH Zürich

Mar 2021 – Present Zürich
Working with Dr. Iro Armeni and Shengyu Huang for 3D point clouds registration problems in indoor scences.
 
 
 
 
 

Software Enginnering Intern

ByteDance

May 2020 – Aug 2020 Shanghai
Working as Software Enginnering Intern in the Recommendation Systems group, Data Detp., ByteDance.
 
 
 
 
 

Research Intern

Facebook Research

Feb 2019 – Dec 2019 Remotely working
Working with Dr. Saikat Basu and Dr. Guan Pang on the project of Topological-Aware Loss Function for Detecting Linear Structures from Image. I have submitted our results to CVPR 2020, as the first author.
 
 
 
 
 

Undergraduate Research Student

X-Lab (Lab for Intelligent Operation and Maintenance), Tongji University

Sep 2018 – Dec 2018 Shanghai, China
Working with Prof. Qingfeng Du and Dr. Qiu Juan on the project of Combining LSTM with VAE for Anomaly Detection from Imbalanced KPI Data of Online Servers. We have applied for 1 Chinese Patent.
 
 
 
 
 

Undergraduate Research Student

Deep Learning Lab, Tongji University

Mar 2018 – Sep 2019 Shanghai, China
Working with Prof. Yin Wang on the project of Road Extraction from Satellite Imagery using GPS Trajectories and Satellite Imagery. I have published 3 papers as first author at the Lab.

Skills

Programming Language

  • Proficient: Python, C, C++

  • Intermediate: JavaScript, Java, Swift, SQL, MATLAB

Research

  • Deep Learning: PyTorch, Keras, TensorFlow, Pandas, Sk-Learn, OpenCV

  • Academic Writing: LaTeX

Developing

  • Software: Xcode (iOS), Visual Studio (Win)

  • Database: MySQL, MongoDB, Neo4j, Spark

Awards

and Scholarships

Second Prize in 2019 ‘Challenge Cup’ National College Student Curricular Academic Science and Technology Works Competition

China Ministry of Education, etc Nov 2019
2019“挑战杯”全国大学生课外学术科技作品竞赛

Special Prize in 2019 ‘Challenge Cup’ Shanghai College Student Curricular Academic Science and Technology Works Competition

Shanghai Ministry of Education, etc Jun 2019
2019“挑战杯”全国大学生课外学术科技作品竞赛

National Scholarship (for top 0.2% undergraduate students)

China’s Ministry of Education Sep 2018 – Jun 2019

Honerable Mention in 2018 Mathematical Contest in Modeling (MCM)

Consortium for Mathematics and its Applications (COMAP) Feb 2018

National Scholarship

China’s Ministry of Education Sep 2017 – Jun 2018

First Prize in 33rd China College Students Physics Contest, Shanghai

Chinese Physical Society Dec 2016

First Class Student Scholarship

Tongji University Sep 2016 – Jun 2017

Contact