I am interested in computer vision and machine learning, and more specifically in topics such as transfer learning, scene understanding and video analysis.

Experience

Facebook
Oct 2020 - Present, Applied Research Scientist
Working on computer vision and deep learning.

ETH Zürich
Sep 2015 - Sep 2020, Research Assistant/PhD Student
Supervisor: Prof. Luc Van Gool
Thesis title: Label Efficient Learning for Scene Understanding

Google
Jul 2019 - Jun 2020, Student Researcher
Host: Prof. Cristian Sminchisescu, Dr. Cordelia Schmid

Nov 2018 - Mar 2019, Software Engineer Intern
Host: Prof. Cristian Sminchisescu, Dr. Cordelia Schmid

Education

ETH Zürich
2020, PhD, Computer Vision and Machine Learning
2015, MSc, Electrical Engineering and Information Technology

University of Science and Technology of China
2013, BSc, Physics

Selected Publications

[Google Scholar Profile]

mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool
International Conference on Computer Vision (ICCV), 2021
[pdf]

DLOW: Domain Flow and Applications
Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool
International Journal of Computer Vision (IJCV), 2021
[pdf]

Scale-aware Domain Adaptive Faster R-CNN
Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
International Journal of Computer Vision (IJCV), 2021
[pdf]

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[pdf]

Unbiased Mean Teacher for Cross Domain Object Detection
Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[pdf]

Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[pdf]

Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[pdf] [code]

Analogical Image Translation for Fog Generation
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool
AAAI Conference on Artificial Intelligence (AAAI), 2021
[pdf]

Consistency Guided Scene Flow Estimation
Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu
European Conference on Computer Vision (ECCV), 2020
[pdf]

Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu
International Conference on Computer Vision (ICCV), 2019
[pdf]

Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[pdf]

DLOW: Domain Flow for Adaptation and Gneralization
Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[pdf] [code]

Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[pdf] [code(Caffe)] [code(PyTorch)]

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[pdf] [code] [video]

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen, Wen Li, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[pdf]

Video Object Segmentation Without Temporal Information
Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017
[pdf]

Scale-Aware Alignment of Hierarchical Image Segmentation
Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[pdf] [code]

Misc

Conference reviewing

Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), International Conference on Learning Representations (ICLR), Conference on Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), AAAI Conference on Artificial Intelligence (AAAI), …

Journal reviewing

International Journal of Computer Vision (IJCV), IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Robotics, IEEE Transactions on Multimedia, IEEE Transactions on Cybernetics, IEEE Access, Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, …

Workshop co-organizer

CVPR 2018 Workshop on Densely Annotated VIdeo Segmentation (DAVIS 2018)

Teaching

2017 Fall, Computer Vision and Image Analysis, ETH Zürich, Teaching Assistant
2016 Fall, Computer Vision and Image Analysis, ETH Zürich, Teaching Assistant
2015 Fall, Computer Vision, ETH Zürich, Teaching Assistant