Zhun Zhong



Assistant Professor

Department of Information Engineering and Computer Science

University of Trento


About Me

Experience: I am currently an Assistant Professor at the University of Trento (UNITN). I was a Postdoc at UNITN from 2020-2022 under the supervision of Prof. Nicu Sebe. I received my Ph.D. degree in 2019 from the Cognitive Science Department at Xiamen University under the supervision of Prof. Shaozi Li. I was also a joint Ph.D. student in 2017-2019 at University of Technology Sydney under the co-supervision of Prof. Yi Yang and Dr. Liang Zheng. I received the M.S. Degree in Computer Science and Technology in 2015 from China University Of Petroleum, Qingdao, China. I received the B.S. degree from the Information Engineering Department, from East China University of Technology in 2012.

Research Interests: I commit to designing robust and scalable visual recognition systems for real-world applications. To achieve this goal, I mainly focus on the areas of data augmentation, unsupervised/semi- supervised learning, domain generalization, domain adaptation and novel class discovery, and investigate their advantages in visual tasks, such as object retrieval, image classification, semantic segmentation, etc.

Join Us: Our group (MHUG led by Prof. Nicu Sebe) is looking for highly-motivated Postdoc/Ph.D. students; we also welcome visiting students. Drop me an email if you are interested.


Apr 8, 2023 We are organizing an IJCV Special Issue: Open-World Visual Recognition. Call for Papers is available at Page 1 or Page 2
Mar 5, 2023 Three papers are accepted by CVPR 2023. Congrats to all!
Feb 15, 2023 I was invited as an Associate Editor for Image and Visual Computing.
Jan 30, 2023 One paper about robust training is accepted to AIJ 2023.
Jan 3, 2023 One paper about semi-supervised semantic segmentation is accepted to TPAMI 2023. Congrats to Linshan.
Dec 1, 2022 One paper is accepted by TIP 2023. Congrats to Xingxin.
Nov 18, 2022 Three papers are accepted by AAAI 2023. Congrats to all.

Selected Publications

  1. Random Erasing Data Augmentation
    Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, and Yi Yang
    In AAAI 2020

    PaperDigest Most Influential AAAI Papers (1st-Place)!

    Citation 2000+!

  2. TPAMI
    Learning to Adapt Invariance in Memory for Person Re-identification
    Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang
    TPAMI 2021 + CVPR 2019

    600+ Citations!

  3. TIP
    CamStyle: A Novel Data Augmentation Method for Person Re-identification
    Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, and Yi Yang
    TIP 2019 + CVPR 2018

    700+ Citations!

  4. Re-ranking person re-identification with k-reciprocal encoding
    Zhun Zhong, Liang Zheng, Donglin Cao, and Shaozi Li
    In Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on 2017

    Citation 1000+!