Yang He (PhD Student)
Personal Information
Research Interests
- Computer Vision: semantic segmentation, visual tracking, object detection
- Machine Learning: deep learning
Education
- 2015-Present: PhD student at Max Planck Institute for Informatics and Saarland University, Germany
- 2012-2015: M.S. in Computer Science, Beijing Institute of Technology, China
- 2008-2012: B.E. in Software Engineering, Xian University of Technology, China
Research Projects
Publication
2019
- Yongqin Xian*, Subhabrata Choudhury*, Yang He, Bernt Schiele and Zeynep Akata, SPNet: Semantic Projection Network for Zero- and Few-Label Semantic Segmentation, 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
2018
- Yang He, Bernt Schiele and Mario Fritz, Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes, 15th European Conference on Computer Vision (ECCV), 2018.
2017
- Yang He, Wei-Chen Chiu, Margret Keuper and Mario Fritz, STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data Driven Pooling, 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
- Yang He, Margret Keuper, Bernt Schiele and Mario Fritz, Learning Dilation Factors for Semantic Segmentation of Street Scenes, 39th German Conference on Pattern Recognition (GCPR), 2017.
2016
- Yang He, Wei-Chen Chiu, Margret Keuper and Mario Fritz, RGBD Semantic Segmentation Using Spatio-Temporal Data Driven Pooling, arxiv.org/abs/1604.02388.