Yuhua Chen

PhD Student, Computer Vision Laboratory
ETH Zurich, Switzerland

yuhua.chen (at) vision.ee.ethz.ch
Office: ETF D115
[Google Scholar] [Github] [LinkedIn] [CV]

I am a PhD student at CVL@ETHZ, supervised by Prof. Luc Van Gool. I am interested in computer vision and machine learning, and more specifically in topics such as transfer learning, scene understanding and video analysis.

Education

Sep, 2015 - Present          PhD Candidate, Computer Vsion Lab, ETH Zurich
Sep, 2013 - Jun, 2015       MSc in EEIT, ETH Zurich
Sep, 2009 - Jun, 2013       BSc in Physics, University of Science and Technology of China

Selected Publications

For the full list, please visit my google scholar.

Conference

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

@inproceedings{chen2019self,
title={Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera},
author={Chen, Yuhua and Schmid, Cordelia and Sminchisescu, Cristian}
booktitle = {International Conference in Computer Vision (ICCV)},
year={2019}
}

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

@inproceedings{chen2019learning,
title={Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach},
author={Chen, Yuhua and Li, Wen and Chen, Xiaoran and Van Gool, Luc},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year={2019}
}

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

@inproceedings{gong2019dlow,
title={DLOW: Domain Flow for Adaptation and Generalization},
author={Gong, Rui and Li, Wen and Chen, Yuhua and Van Gool, Luc},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year={2019}
}

Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
Computer Vision and Pattern Recognition (CVPR), 2018
[pdf] [bib] [code (Caffe)] [code (PyTorch)] [code (Detectron/Caffe2)]

@inproceedings{chen2018domain,
title={Domain Adaptive Faster R-CNN for Object Detection in the Wild},
author={Chen, Yuhua and Li, Wen and Sakaridis, Christos and Dai, Dengxin and Van Gool, Luc},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year={2018}
}

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

@inproceedings{chen2018blazingly,
title={Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning},
author={Chen, Yuhua and Pont-Tuset, Jordi and Montes, Alberto and Van Gool, Luc},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year={2018}
}

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

@inproceedings{chen2018road,
title={ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes},
author={Chen, Yuhua and Li, Wen and Van Gool, Luc},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year={2018}
}

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

@inproceedings{chen2016scale,
title = {Scale-aware alignment of hierarchical image segmentation},
author={Chen, Yuhua and Dai, Dengxin and Pont-Tuset, Jordi and Van Gool, Luc},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year={2016}
}

Journal

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), 2018
[pdf] [bib]

@article{maninis2017video,
title={Video Object Segmentation Without Temporal Information},
author={Maninis, Kevis-Kokitsi and Caelles, Sergi and Chen, Yuhua and Pont-Tuset, Jordi and Leal-Taix{\'e}, Laura and Cremers, Daniel and Van Gool, Luc},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI)},
year={2017}
}

Professional Service

Conference Reviewer:
Conference on Computer Vision and Pattern Recognition (CVPR)
International Conference on Computer Vision (ICCV)
Conference on Neural Information Processing Systems (NIPS)
International Conference on Machine Learning (ICML)
AAAI Conference on Artificial Intelligence (AAAI)

Journal Reviewer:
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia
IEEE Transactions on Cybernetics
IEEE Access

Workshop Co-organizer:
CVPR 2018 Workshop on Densely Annotated VIdeo Segmentation (DAVIS 2018)

Teaching

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