Wei Wang
Assistant Professor (RTDa)
Department of Information Engineering and Computer Science
via Sommarive 14, 38100 Povo, Trento, Italy
wei.wang[at]unitn.it wangwei1990[at]gmail.com
Google ScholarAbout Me
I am currently an Assistant Professor (RTDa) in the Department of Information Engineering and Computer Science at University of Trento, Italy. I was a Postdoctoral Research Fellow in CVLab at EPFL, working with Prof. Pascal Fua and Dr. Mathieu Salzmann. I received Ph.D Degree from University of Trento, Italy. My supervisor was Prof. Nicu Sebe and I was co-supervised by Prof. Yan Yan I was a visiting student from 2015 to 2016 in the Learning and Vision (LV) Group at National University of Singapore (NUS), working with Prof. Shuicheng Yan and Prof. Jiashi Feng.
Research Interests
Face analysis, human action understanding, augmented reality (AR), segmentation, optimization problems, etc.
News
- I'm happy to serve as the Associate Editor of ICPR 2020.
Publications
2020
Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
Jichao Zhang, Jingjing Chen, Hao Tang, Wei Wang, Yan Yan, Enver Sangineto, Nicu Sebe
ACM Conference on Multimedia(ACM MM), 2020. Github Code released!
Single-Stage 6D Object Pose Estimation
Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. Github Code released!
Learning How to Smile: Expression Video Generation with Conditional Adversarial Recurrent Nets
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe
IEEE Transactions on Multimedia (TMM), 2020
2019
Backpropagation-Friendly Eigendecomposition
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Annual Conference on Neural Information Processing Systems (NeurIPS), 2019. Github Code released!
Recurrent U-Net for Resource-Constrained Segmentation
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
IEEE International Conference on Computer Vision (ICCV), 2019. Github Code, Hand Segmentation Dataset released!
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
Hao Tang, Dan Xu, Yan Yan, Wei Wang, Nicu Sebe
ACM Conference on Multimedia (ACM MM), 2019. (Oral)
Recurrent Face Aging with Hierarchical Autoregressive Memory
Wei Wang, Yan Yan, Zhen Cui, Jiashi Feng, Shuicheng Yan, Nicu Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
2018
Recurrent Convolutional Shape Regression
Wei Wang, Sergey Tulyakov and Nicu Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Flexible Manifold Learning With Optimal Graph for Image and Video Representation
Wei Wang, Yan Yan, Feiping Nie, Shuicheng Yan, Nicu Sebe
IEEE Transactions on Image Processing (TIP), 2018
Every Smile is Unique: Landmark-Guided Diverse Smile Generation
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Hao Tang, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe
ACM Conference on Multimedia(ACM MM), 2018. (Oral)
2017
FoveaNet: Perspective-aware Urban Scene Parsing
Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng
IEEE International Conference on Computer Vision (ICCV), 2017
Recurrent 3D-2D Dual Learning for Large-pose Facial Landmark Detection
Shengtao Xiao, Jiashi Feng, Luoqi Liu, Xuecheng Nie, Wei Wang, Shuicheng Yan, Ashraf Kassim
IEEE International Conference on Computer Vision (ICCV), 2017
Face Aging with Contextural Generative Adversarial Nets
Si Liu, Yao Sun, Defa Zhu, Renda Bao, Wei Wang, Xiangbo Shu, Shuicheng Yan
ACM Conference on Multimedia (ACM MM), 2017
2016
2015
Selected Award
- ACM Multimedia 2018 Best Paper Award Nominee
- ICCV 2017 Doctoral Consortium
- 2011-2013 Danish Government Scholarship