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
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 |
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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. |