Tianfei Zhou


School of Computer Science
Beijing Institute of Technology



I am a Professor at the Beijing Institute of Technology (BIT), China. Prior to that, I was a researcher in the BMIC Group at ETH Zurich (Swiss), closely working with Prof. Ender Konukoglu, and Inception Institute of Artificial Intelligence (UAE).

My primary research interests are in the fields of Computer Vision, Machine Learning, and Artificial Intelligence, with broader interests in Robotics and Digital Humanities. Currently, my work focuses on creating intelligent models capable of percepting, reasoning, and making decisions in real visual world, to address real-world applications across domains such as healthcare, industry, and scientific discovery.

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.

Prospective Students: I am always looking for highly-motivated 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)

News

  • 2025/08: DAPT is accepted to IEEE Trans. PAMI!

Preprints

Image Segmentation in Foundation Model Era: A Survey
  • Wang Xia, Fei Zhang, Boyu Chang, Wenguan Wang, Ye Yuan, Endor Konukoglu, Daniel Cremers, Tianfei Zhou
    arXiv, 2024 [Paper] [Project]
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
  • Qi Wang, Yanrui Yu, Ye Yuan, Rui Mao, Tianfei Zhou
    arXiv, 2025 [Paper] [Code]
Prompt-Driven Continual Graph Learning
  • Qi Wang, Tianfei Zhou, Ye Yuan, Rui Mao
    arXiv, 2025 [Paper] [Code]

Publications

Decouple before Align: Visual Disentanglement Enhances Prompt Tuning
  • Fei Zhang, Tianfei Zhou, Jiangchao Yao, Ya Zhang, Ivor W Tsang, Yanfeng Wang
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2025 [Paper] [Code]
LAVA: Language Driven Scalable and Versatile Traffic Video Analytics
  • Yanrui Yu, Tianfei Zhou, Jiaxin Sun, Lianpeng Qiao, Lizhong Ding, Ye Yuan, Guoren Wang
    ACM MM, 2025 [Paper] [Code] Oral
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection
  • Gensheng Pei, Tao Chen, Yujia Wang, Xinhao Cai, Xiangbo Shu, Tianfei Zhou, Yazhou Yao
    CVPR, 2025 [Paper] [Code]
Prompt Tuning In a Compact Attribute Space
  • Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang
    AAAI, 2025 [Paper] [Code]
Nonverbal Interaction Detection
  • Jianan Wei, Tianfei Zhou, Yi Yang, Wenguan Wang
    ECCV, 2024 [Paper] [Code]
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
  • Zhixiong Nan, Yilong Chen, Tianfei Zhou, Tao Xiang
    NeurIPS, 2024 [Paper] [Code]
nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems (Vision)
  • Ye Yuan, Bo Tang, Tianfei Zhou, Zhiwei Zhang, Jianbin Qin
    VLDB, 2024 [Paper]
GeneSegNet: a deep learning framework for cell segmentation by integrating gene expression and imaging
  • Yuxing Wang, Wenguan Wang, Dongfang Liu, Wenpin Hou, Tianfei Zhou, Zhicheng Ji
    Genome biology, 2023 [Paper] [Code]
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
  • Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Ya Zhang, Yanfeng Wang
    NeurIPS, 2023 [Paper] [Code]
FedFA: Federated Feature Augmentation
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]
    WAIC Youth Outstanding Paper Nomination Award, 2021.
    Champions on two tracks ([HOI] [PIC]) in ICCV 2019 Person-in-Context challenge.
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]
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]
    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] Oral
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
  • Wenguan Wang*, Tianfei Zhou*, Jifeng Dai, Ender Konukoglu, and Luc Van Gool (*equal contribution)
    ICCV, 2021 [Paper] [Code] [机器之心] Oral
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] Oral