Zhun Zhong

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Assistant Professor

Department of Information Engineering and Computer Science

University of Trento

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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.

News

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.
Sep 15, 2022	One paper about domain generalized semantic segmentation is accepted to NeurIPS 2022.
Aug 10, 2022	One paper about attack and defense person re-identification is accepted to TPAMI 2022. Congrats to Fengxiang and Juanjuan.

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+!

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