Note: Siyu Tang has transitioned from the institute (alumni).
I am an assistant professor at ETH Zürich in the Department of Computer Science.
I'm looking for PhD students and postdocs to join my group at ETHZ, I also offer master thesis and research projects. If you are interested, please contact me: siyu.tang@inf.ethz.ch
I am interested in the intersection between computer vision and machine learning with a focus on holistic visual scene understanding. In particular, I am interested in analyzing and modeling people in our complex visual scenes.
I was a research group leader in the Department of Perceiving Systems at the Max Planck Institute for Intelligent Systems, my group is funded by the DFG through the CRC 1233 on Robust Vision. I finished my PhD summa cum laude at the Max Planck Institute for Informatics, under the supervision of Prof. Bernt Schiele. Before that, I received Master degree in Computer Science at RWTH Aachen University, advised by Prof. Bastian Leibe and Bachelor degree in Computer Science and Technology Department at Zhejiang University, China. I was a research intern at National Institute of Informatics, under the supervision of Prof. Helmut Prendinger.
News:
- New! I'm honored to receive the ELLIS award for my PhD thesis!
- New! Our work on end-to-end learning for graph decomposition is accepted to ICCV 2019.
- New! I will be an area chair for CVPR 2020 and tutorial chair for CVPR 2023 at Vancouver.
- Our work on Low-rank Random Tensor for Bilinear Pooling is online.
- Our EU grant proposal CLIPE is accepted for funding, call for PhD students will come soon.
- I'm co-organizing the 3rd Computational Vision Summer School this year. We have amazing speakers. Apply here.
- Our work on learning bilinear pooling for fine-grained action parsing is accepted to CVPR 2019!
- Two internship positions on Kernel Methods Meet Deep Neural Networks to be filled until 03/2019. Apply here!
- I received the DAGM MVTec 2018 Dissertation Award.
- We have one paper accepted to TPAMI.
- We have one paper accepted to ACCV 2018 as oral presentation.
- One paper accepted to ECCV 2018.
- One paper accepted to BMVC 2018.
- Our work on part-aligned bilinear representations for person re-identification is online.
- Our work on human action segmentation in real time is online, and the code is available.
- I will be an area chair for ACCV 2018.
- I received an Early career research grant to start my own research group at the Max Planck Instiute for Intelligent Systems and the University of Tübingen, details coming soon. I am looking for highly motivated PhD student and PhD interns!
- I have successfully defended my PhD thesis "People Detection and Tracking in Crowded Scenes" on the 29th September 2017 at the Max Planck Institute for Informatics. Thesis Committee: Prof. Bernt Schiele, Prof. Michael Black, Prof. Luc Van Gool.
- Winner of the CVPR 2017 Multi-Object Tracking Challenge (MOT17).
- Four papers accepted at CVPR 2017!
Awards:
- ELLIS PhD award, 2019
- DAGM MVTec Dissertation Award, 2018
- Winner of the Multi-Object Tracking Challenge at CVPR 2017
- Winner of the Multi-Object Tracking Challenge at ECCV 2016
- BMVC Best Paper Award, 2012
- Scholarship for excellence in academic performance RWTH Aachen 2009, 2010
Teaching:
- SS 2016: High-Level Computer Vision, Saarland University, teaching assistant
- SS 2015: High-Level Computer Vision, Saarland University, teaching assistant
- SS 2013: High-Level Computer Vision, Saarland University, teaching assistant
Reviewing:
IJCV, TPAMI
CVPR 2016, ECCV 2016,
CVPR 2017, ICCV 2017, NIPS 2017, ICML 2017.
PhD student
Qianli Ma (with Michael Black)
PhD interns
David Hoffmann
Yan Zhang
Xiaohan Chen
Korrawe Karunratanakul
Miao Liu