My name is Qin Wang. I am a 3rd year PhD student at ETH Zurich.
Weakly supervised Learning, Domain Adaptation.
FPGA, High performance computing.
- PhD student
ETH Zurich, 2018 – 202x
- M.Sc. ETH Zurich
Thesis: Distribution Aligned Semi-Supervised Learning
Computer Vision Laboratory, D-ITET, 2015-2018
- B.E. Tsinghua University
Thesis: FPGA acceleration for SiC Motor Controller
Department of Electrical Engineering, 2011-2015
- Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool
arXiv, 2021 [code]
- 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] [talk]
- 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] [talk]
- Fully Context-Aware Video Prediction
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
European Conference on Computer Vision (ECCV) Oral, 2018
- Webvision Benchmark Models
Benchmarking image classification models for Webvision Dataset: training from 16 million noisy images from the web.
Tensorflow implementation of our augmented distribution alignment method for semi-supervised learning.
Discover competitive GAN architectures within 7 GPU hours using off-policy RL.
19/20, 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