Tianfei Zhou

I am Tianfei Zhou (周天飞 in Chinese), a postdoctoral scholar in Computer Vision Laboratory at ETH Zurich, working with Prof. Ender Konukoglu in the BMIC Group.

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 conjuction with CVPR, ICCV, and industry challenges held by Alibaba.

a portrait of tianfei zhou

Selected Publication

A Survey on Deep Learning Technique for Video Segmentation

Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool, Wenguan Wang. (IEEE T-PAMI 2023)
[Paper] [Code]

Cascaded Parsing of Human-Object Interaction Recognition

Tianfei Zhou, Siyuan Qi, Wenguan Wang, Jianbing Shen, and Song-Chun Zhu. (IEEE T-PAMI 2022)
[Paper] [Code]

WAIC Youth Outstanding Paper Nomination Award, 2021.

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, and Ender Konukoglu. (Medical Image Analysis 2022)
[Paper] [Code]

MedIA-MICCAI Best Paper Award, 2022.

Rethinking Semantic Segmentation: A Prototype View

Tianfei Zhou, Wenguan Wang, Ender Konukoglu, and Luc Van Gool. (CVPR 2022)
[Paper] [Code]

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

Tianfei Zhou*, Meijie Zhang*, Fang Zhao, and Jianwu Li. (CVPR 2022)
[Paper] [Code]

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Wenguan Wang*, Tianfei Zhou*, Fisher Yu, Jifeng Dai, Ender Konukoglu, and Luc Van Gool. (ICCV 2021)
[Paper] [Code]

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, and Luc Van Gool. (CVPR 2021)
[Paper] [Code]

Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Xueyi Li, Tianfei Zhou#, Jianwu Li, Yi Zhou, and Zhaoxiang Zhang. (AAAI 2021)
[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 2020)
[Paper] [Code]

Latest News

  • [11/2022] A survey paper on Deep Video Segmentation accepted to IEEE TPAMI.
  • [09/2022] Won Medical Image Analysis-MICCAI Best Paper Award.


  • 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
  • 1st Place in CVPR2021 L2ID Challenge: High-resolution Human Parsing Track
  • 1st Place in CVPR2021 Large-scale Video Object Segmentation Challenge: Referring Video Object Segmentation Track
  • 1st Place in ICCV2019 Person in Context (PIC): Relation Segmentation Track and Human-Object-Interaction Detection Track


  • [10/2022] Align Technology "Deep Learning based Semantic Segmentation"
  • [07/2021] TechBeat "Differentiable Multi-Granularity Human Body Parsing"
  • [04/2021] 智东西公开课 "Structured Human Semantic Parsing"


Senior Program Committee: AAAI'22
Guest Editor on IEEE TCSVT, Electronics
Conference Review: ICLR'22-23, NeurIPS'21-'23, ICML'22, CVPR, ICCV, ECCV, MICCAI