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 Weibo for updates and news.

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.

Selected Publications

You can find the full list on our group publication page and Google Scholar.

Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu
Quasi-Dense Similarity Learning for Multiple Object Tracking
Computer Vision and Pattern Recognition, 2021
Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
Instance-Aware Predictive Navigation in Multi-Agent Environments
International Conference on Robotics and Automation, 2021
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Computer Vision and Pattern Recognition, 2020
Xin Wang*, Thomas E. Huang*, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu
Frustratingly Simple Few-Shot Object Detection
International Conference on Machine Learning, 2020
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
Joint Monocular 3D Vehicle Detection and Tracking
International Conference in Computer Vision, 2019
Zhichao Yin, Trevor Darrell, Fisher Yu
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Computer Vision and Pattern Recognition, 2019
Xin Wang, Fisher Yu, Zi-Yi Dou, Joseph E. Gonzalez
SkipNet: Learning Dynamic Routing in Convolutional Networks
European Conference on Computer Vision, 2018
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
Deep Layer Aggregation
Computer Vision and Pattern Recognition, 2018
Fisher Yu, Vladlen Koltun and Thomas Funkhouser
Dilated Residual Networks
Computer Vision and Pattern Recognition, 2017
Huazhe Xu, Yang Gao, Fisher Yu and Trevor Darrell
End-to-end Learning of Driving Models from Large-scale Video Datasets
Computer Vision and Pattern Recognition, 2017
Fisher Yu and Vladlen Koltun
Multi-Scale Context Aggregation by Dilated Convolutions
International Conference on Learning Representations, 2016
Fisher Yu, Jianxiong Xiao and Thomas Funkhouser
Semantic Alignment of LiDAR Data at City Scale
Computer Vision and Pattern Recognition, 2015
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser and Jianxiong Xiao
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
arXiv:1506.03365 cs.CV, 2015
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu
ShapeNet: An Information-Rich 3D Model Repository
arXiv:1512.03012 cs.GR, 2015
Fisher Yu and David Gallup
3D Reconstruction from Accidental Motion
Computer Vision and Pattern Recognition, 2014
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Tutorials

Here are the slides of the lectures on 3D reconstruction I gave in a seminar course in 2014. These lectures are intended for audience with no background knowledge in this area.