_ (:3」∠) _
方向
弱监督学习, 域转换
喜欢
FPGA, 高性能计算.
教育经历
- 博士在读 2018 – 202x
IMS & CVL, 苏黎世联邦理工 - 硕士 2015 – 2018
Computer Vision Laboratory, 苏黎世联邦理工 - 本科 2011 – 2015
电机工程与应用电子技术系, 清华大学
近期文章
- 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
Github
- 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 with 7 GPU hours using off-policy RL.
教学
19/20 春, 针对维护系统的机器学习, ETH Zurich, 助教
16 秋, 机器学习, ETH Zurich, 助教
Qin Wang ETH Zurich Homepage 王沁