My name is Qin Wang. I am a 3rd year PhD student at ETH Zurich.
Love
Weakly supervised Learning, Domain Adaptation.
Like
FPGA, High performance computing.
Education
- M.Sc. ETH Zurich
Thesis: Distribution Aligned Semi-Supervised Learning
Computer Vision Laboratory, D-ITET - B.E. Tsinghua University
Thesis: FPGA acceleration for SiC Motor Controller
Department of Electrical Engineering
Publications
- 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
Github Repos
- Webvision Benchmark Models
Benchmarking image classification models for Webvision Dataset: training from 16 million noisy images from the web. - ADA-Net
Tensorflow implementation of our augmented distribution alignment method for semi-supervised learning. - E2GAN
Discover competitive GAN architectures within 7 GPU hours using off-policy RL.
Teaching
22, 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