I am currently a Professor at the Beijing Institute of Technology, China. Prior to that, I was a researcher in the BMIC Group at ETH Zurich, closely working with Prof. Ender Konukoglu.
My research interests have revolved around human-centered visual computing, with the aim to build a machine that (1) technically reflect the depth characterized by human vision, (2) operate transparently, act equitably, respect the privacy, and (3) eventually amplify and augment human capabilities in diverse social challenges, e.g., healthcare.
I have received 1 Best Paper and 1 Outstanding Paper Nomination Awards. The research results in leading algorithms that won several international academic challenges held in conjunction with CVPR, ICCV, and industry challenges held by Alibaba.
Me elsewhere:
Google Scholar
Email
GitHub
Twitter
Prospective Students: I am always looking for talented students to join my group. If you are interested to work with me (for intern, master, PhD, Postdoc), please shoot me an email (tfzhou [at] bit.edu.cn)
Survey & Vision Papers
nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems
Ye Yuan, Bo Tang, Tianfei Zhou, Zhiwei Zhang, Jianbin Qin
Proceedings of the VLDB Endowment (VLDB), 2024
[Paper]
A Survey on Deep Learning Technique for Video Segmentation
Tianfei Zhou, Faith Porikli, David Crandall, Luc Van Gool, Wenguan Wang
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[Paper]
[Project]
Recent Publications
Nonverbal Interaction Detection
Jianan Wei, Tianfei Zhou, Yi Yang, Wenguan Wang
European Conference on Computer Vision (ECCV), 2024
[Paper]
[Code]
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
Zhixiong Nan, hixiong Nan, Yilong Chen, Tianfei Zhou, Tao Xiang
Neural Information Processing Systems (NeurIPS), 2024
[Paper]
[Code]
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Ya Zhang, Yanfeng Wang
Neural Information Processing Systems (NeurIPS), 2023
[Paper]
[Code]
FedFA: Federated Feature Augmentation
Tianfei Zhou, Ender Konukoglu
International Conference on Learning Representations (ICLR), 2023
[Paper]
[Code]
Cascaded Parsing of Human-Object Interaction Recognition
Tianfei Zhou, Siyuan Qi, Wenguan Wang, Jianbing Shen, and Song-Chun Zhu
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021
[Paper]
[Code]
Champions on two tracks ([HOI] [PIC]) in ICCV 2019 Person-in-Context challenge.
Volumetric Memory Network for Interactive Medical Image Segmentation
Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Jan Unkelbach and Ender Konukoglu
Medical Image Analysis (MedIA), 2022
[Paper]
[Code]
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou, Wenguan Wang, Ender Konukoglu, and Luc Van Gool
Computer Vision and Pattern Recognition (CVPR), 2022 Oral Presentation
[Paper]
[Code]
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang*, Tianfei Zhou*,
Jifeng Dai, Ender Konukoglu, and Luc Van Gool (*equal contribution)
International Conference on Computer Vision (ICCV), 2021 Oral Presentation
[Paper]
[Code]
[机器之心]
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, and Luc Van Gool
Computer Vision and Pattern Recognition (CVPR), 2021 Oral Presentation
[Paper]
[Code]
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, and Shao Ling
AAAI Conference on Artificial Intelligence (AAAI), 2020
[Paper]
[Code]
Address
Computer Vision Laboratory
Biomedical Image Computing
Sternwartstrasse 7
ETF E 112
8092 Zürich
Switzerland
Latest News
- [01/2025] I am serving as an Area Chair for MICCAI 2025.
- [12/2024] Papers accepted to NeurIPS 2024, ECCV 2024, AAAI 2025.
- [10/2023] Organize a forum at PRCV 2023 on "Open-World Visual Enhancement and Perception"
- [10/2023] World's top 2% scientists in 2022 by Standford University
- [10/2023] IEEE Trans. on Medical Imaging Distinguished Reviewer, 2023
- [09/2023] One paper (PGSeg) accepted to NeurIPS 2023.
- [07/2023] One paper (CORE) accepted to ICCV 2023.
- [04/2023] One paper (CLUSTSEG) accepted to ICML 2023.
- [03/2023] Two papers accepted to CVPR 2023.
- [21/01/2023, 除夕] Two papers accepted to ICLR 2023, including one spotlight (notable-top-25%).
- [11/2022] A survey paper on Deep Video Segmentation accepted to IEEE TPAMI.
- [09/2022] Won Medical Image Analysis-MICCAI Best Paper Award.
Awards
- Medical Image Analysis-MICCAI Best Paper Award, 2022 [MedIA] [MICCAI]
- WAIC Youth Outstanding Paper Nomination Award, 2021
- 1st Place in CVPR2021 AutoNUE 2021 Challenge: Semantic Segmentation Track [Link]
- 1st Place in CVPR2021 L2ID Challenge: High-resolution Human Parsing Track [Link]
- 1st Place in CVPR2021 Large-scale Video Object Segmentation Challenge: Referring Video Object Segmentation Track [Link]
- 1st Place in ICCV2019 Person in Context (PIC): Relation Segmentation Track [Link] and Human-Object-Interaction Detection Track [Link]
Talks
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Towards More Trusted Visual Recognition
at Zhejiang University, 04/2023. (Invited by Prof. Yi Yang)
-
Human-Centric Scene Parsing
at Hohai University, 12/2022. (Invited by Prof. Xiaofeng Liu)
-
Deep Learning based Image Segmentation
at The Hong Kong University of Science and Technology (GZ), 09/2023. (Invited by Prof. Junwei Liang)
at Baidu Inc., 05/2023. (Invited by Dr. Jingdong Wang)
at BMIC Group, ETH Zurich, 06/2022.
at Align Technology, 10/2022. (Invited by Alexander Okupnik) - Structured Human Semantic Parsing at TechBeat and 智东西公开课, 2021.
Service
Associate Editor: Multimedia Tools and Applications
Guest Editor: IEEE TCSVT, Electronics
Senior Program Committee: AAAI'22
Conference Review: ICLR'22-23, NeurIPS'21-'23, ICML'22-23, CVPR, ICCV, ECCV, MICCAI, MIDL
Journal Review: IEEE TPAMI, IEEE TIP, MedIA, IEEE TMI, IJCV