Zhun Zhong

--------------------------------------------------------------------------------------------------------

Assistant Professor

School of Computer Science

University of Nottingham

--------------------------------------------------------------------------------------------------------

About Me

Experience: I am currently an Assistant Professor at the University of Nottingham (UoN). I was an Assistant Professor (2022-2023) and a Postdoc at University of Trento (UNITN, 2020-2022) working with 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: I am looking for highly-motivated Ph.D. students starting from September 2024; I also welcome visiting students/research assistant.

I am also a guest researcher at UNITN (MHUG led by Prof. Nicu Sebe), in which we are hiring highly-motivated Postdoc/Ph.D. students/visiting students/research assistant.

Drop me an email if you are interested in the above positions. Please use the subject format [Name_Position_AppliedUniversity]. For example, [Jack_PhD_UoN], [Mike_Postdoc_UNITN]. [English Version] [Chinese Version]

News

Oct 30, 2023	I am invited to serve as an Area Chair (AC) for ECCV 2024.
Oct 15, 2023	One paper about open-world semi-supervised learning (or novel class discovery) is accepted by NeurIPS 2023. Congrats to Yu.
Sep 15, 2023	One paper about domain generalization is accepted by IJCV. Congrats to Yuyang.
Sep 13, 2023	I am invited to serve as an Area Chair (AC) for ICLR 2024.
Aug 13, 2023	I am invited to serve as an Area Chair (AC) for CVPR 2024.
Jul 18, 2023	I am invited to serve as an Area Chair (AC) for AVSS 2023.
Jul 14, 2023	Our paper about lifelong person reID is accepted by TPAMI. Project Page .

Selected Publications

AAAI

Random Erasing Data Augmentation

Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, and Yi Yang

In AAAI 2020

Bib PDF TorchVision CIFAR ImageNet ReID

@inproceedings{zhong2020erasing,
  title = {Random Erasing Data Augmentation},
  author = {Zhong, Zhun and Zheng, Liang and Kang, Guoliang and Li, Shaozi and Yang, Yi},
  booktitle = {AAAI},
  year = {2020},
}

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

Citation 2000+!

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

Bib PDF Code

@article{zhong2020memorz,
  title = {Learning to Adapt Invariance in Memory for Person Re-identification},
  author = {Zhong, Zhun and Zheng, Liang and Luo, Zhiming and Li, Shaozi and Yang, Yi},
  journal = {TPAMI 2021 + CVPR 2019},
  year = {},
  volume = {43},
  number = {8},
  pages = {2723-2738},
  doi = {10.1109/TPAMI.2020.2976933},
  issn = {1939-3539},
}

600+ Citations!

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

Bib PDF Code

@article{zhong2019camstylf,
  title = {CamStyle: A Novel Data Augmentation Method for Person Re-identification},
  author = {Zhong, Zhun and Zheng, Liang and Zheng, Zhedong and Li, Shaozi and Yang, Yi},
  journal = {TIP 2019 + CVPR 2018},
  year = {}
}

700+ Citations!

CVPR

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

Bib PDF Code

@inproceedings{zhong2017re,
  title = {Re-ranking person re-identification with k-reciprocal encoding},
  author = {Zhong, Zhun and Zheng, Liang and Cao, Donglin and Li, Shaozi},
  booktitle = {Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on},
  pages = {3652--3661},
  year = {2017},
  organization = {IEEE}
}

Citation 1000+!

-->