I am an Assistant Professor at ETH Zürich
in Switzerland.
I obtained my Ph.D. degree from Princeton University and became a
postdoctoral researcher at UC Berkeley afterwards. I direct the
Visual Intelligence and Systems (cv.ethz.ch) Group in the Computer Vision Lab. My goal is to
build perceptual systems capable of performing complex tasks in complex
environments. My research is at the junction of machine learning, computer
vision, and robotics. I currently work on closing the loop between vision
and action. More info about our recent works is at vis.xyz.
You can follow me on Twitter, LinkedIn or Zhihu for updates and news.
Affiliations:
- Core faculty at ETH AI Center
- Core faculty at ETH Center for Robotics
- Principal investigator at NCCR Automation
- Member of ETH Center for Sustainable Future Mobility
- Member of The Max Planck ETH Center for Learning Systems
- Member of European Laboratory for Learning and Intelligent Systems
- Master in Electrical Engineering and Information Technology
- Master in Computer Science
- Master of Science in Robotics, Systems and Control
- Master in Data Science
I am currently looking for students with strong research records in
computer science, electrical engineering, or mechanical engineering to join my
group as Ph.D. students, postdoctoral researchers, or research interns. Please
check our group page for the details: https://cv.ethz.ch/the-group.html.
We have openings for doctoral students in general directions of machine learning, computer vision and robotics now.
We are looking for students in the following fields in particular:
- Monocular 3D Pose estimation
- Low-level vision
- Generative models
Selected Publications
You can find the full list on our group publication page and Google Scholar.
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BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Computer Vision and Pattern Recognition,
2020
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Joint Monocular 3D Vehicle Detection and Tracking
International Conference in Computer Vision,
2019
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Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Computer Vision and Pattern Recognition,
2019
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SkipNet: Learning Dynamic Routing in Convolutional Networks
European Conference on Computer Vision,
2018
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Deep Layer Aggregation
Computer Vision and Pattern Recognition,
2018
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Dilated Residual Networks
Computer Vision and Pattern Recognition,
2017
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End-to-end Learning of Driving Models from Large-scale Video Datasets
Computer Vision and Pattern Recognition,
2017
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Multi-Scale Context Aggregation by Dilated Convolutions
International Conference on Learning Representations,
2016
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Semantic Alignment of LiDAR Data at City Scale
Computer Vision and Pattern Recognition,
2015
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LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans
in the Loop
arXiv:1506.03365 cs.CV,
2015
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ShapeNet: An Information-Rich 3D Model Repository
arXiv:1512.03012 cs.GR,
2015
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3D Reconstruction from Accidental Motion
Computer Vision and Pattern Recognition,
2014
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Group
Postdoc collaborators
Doctoral students- Tobias Fischer
- Thomas E. Huang
- Siyuan Li
- Mattia Segù
- Jelena Trisovic
- Yan Wu
- René Zurbrügg
- Luigi Piccinelli
- Yung-Hsu Yang
- Haofei Xu
Services
- Organizer of Workshop on Autonomous Driving at CVPR 2017, 2018, 2019, 2020, 2021, 2022, 2023
- Organizer of Workshop on Machine Learning for Autonomous Driving at NeurIPS 2019
- Organizer of Workshop on Human In the Loop Learning (HILL) at ICML 2019
- Organizer of 3D Deep Learning Workshop at NIPS 2016
- Organizer of Large-scale Scene Understanding Challenge Workshop at CVPR 2016
- Organizer of CVPR 2016 tutorial on 3D Deep Learning with Marvin
- Organizer of Large-scale Scene Understanding Challenge Workshop at CVPR 2015