I was a postdoctoral researcher at the computer vision lab, ETH Zurich, working with Prof. Luc Van Gool.
Love
Domain adaptation and generalization.
Like
FPGA, High performance computing.
Education
- Dr.sc. ETH Zurich | Computer Vision and Machine Learning
Thesis: Towards Real-World Domain Adaptation with Deep Learning
ETH Zurich, 2018-2021 - M.sc. ETH Zurich | Energy Science and Technology
Thesis: Distribution Aligned Semi-Supervised Learning
D-ITET, 2015-2018 - B.E. Tsinghua University | Electrical Engineering
Thesis: FPGA acceleration for SiC Motor Controller
Department of Electrical Engineering, 2011-2015
Selected Publications
- DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram
Ismail Nejjar, Qin Wang, Olga Fink
Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [code] - Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations
Rui Gong, Qin Wang, Dengxin Dai, Martin Danelljan, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - Continual Test-Time Domain Adaptation
Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai
Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [code] - Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink
International Conference on Computer Vision (ICCV), 2021 [code] [data] [poster] [vid] - Off-Policy RL for Efficient and Effective GAN Architecture Search
Yuan Tian*, Qin Wang*, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink
European Conference on Computer Vision (ECCV), 2020 (*Equal contribution) [code] [sup] [vid] - Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang, Wen Li, Luc Van Gool
International Conference on Computer Vision (ICCV) Oral, 2019 [code] [slides] [poster] [vid] - Fully Context-Aware Video Prediction
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
European Conference on Computer Vision (ECCV) Oral, 2018
Teaching
22 Spr, Deep Learning for Autonomous Driving, ETH Zurich, Teaching Assistant
19/20/21, Machine Learning for Predictive Maintenance, ETH Zurich, Teaching Assistant
16 Fall, Machine Learning, ETH Zurich, Teaching Assistant
How close can we get to the truth _ (:3」∠) _
Qin Wang ETH Zurich Homepage 王沁