福州金嘉实业有限公司

福州金嘉实业有限公司

福州金嘉实业有限公司

罗志明 副教授

Ph.D. 福州金嘉实业有限公司智能科学与技术系 2017.12

研究方向:计算机视觉、医疗影像分析

电子邮件:zhiming.luo@xmu.edu.cn

个人主页:https://scholar.google.com/citations?user=RdRCIIYAAAAJ

个人简历:

教育背景
Ph.D.
福州金嘉实业有限公司智能科学与技术系 2017.12
B.S.
福州金嘉实业有限公司智能科学与技术系 2011.06

工作经历
2021
8 至今 福州金嘉实业有限公司 副教授
2018
3 20217 福州金嘉实业有限公司 博士后

研究领域
计算机视觉、医疗影像分析

授课
计算机视觉、科技论文写作

近期发表文章

[1] Juanjuan Weng, Zhiming Luo*, Zhun Zhong, Dazhen Lin, Shaozi Li, "Exploring Non-Target Knowledge for Improving Ensemble Universal Adversarial Attacks", AAAI 2023.

[2] Yongguo Ling, Zhun Zhong, Zhiming Luo, Fengxiang Yang, Donglin Cao, Yaojin Lin, Shaozi Li, Nicu Sebe, "Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-Identification", AAAI 2023.

[3] Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo*, Donglin Cao, Shaozi Li, Shin’ichi Satoh, Nicu Sebe, "Towards Robust Person Re-identification by Defending Against Universal Attackers", IEEE Transactions on Pattern Analysis and Machine Intelligence 2022.

[4] Jinliang Lin, Zhedong Zheng, Zhun Zhong, Zhiming Luo*, Shaozi Li*, Yi Yang, Nicu Sebe, "Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization", IEEE Transactions on Image Processing 2022.

[5] Chengji Wang, Zhiming Luo*, Yaojin Lin, Shaozi Li*, "Text-based Person Search via Multi-Granularity Embedding Learning", IJCAI 2021.

[6] Yongguo Ling, Zhiming Luo*, Yaojin Lin, Shaozi Li*, "A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification", IJCAI 2021.

[7] Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo*, Elisa Ricci, Nicu Sebe, "Neighborhood Contrastive Learning for Novel Class Discovery", CVPR 2021.

[8] Zhun Zhong, Linchao Zhu, Zhiming Luo*, Shaozi Li, Yi Yang Nicu Sebe, "OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World", CVPR 2021.

[9] Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo*, Yaojin Lin, Shaozi Li*, Nicu Sebe, "Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification", CVPR 2021.

[10] Fengxiang Yang, Zhun Zhong, Zhiming Luo*, Yuanzheng Cai, Yaojin Lin, Shaozi Li*, Nicu Sebe. "Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification", CVPR 2021.

[11] Fengxiang Yang, Zhun Zhong Hong Liu, Zheng Wang, Zhiming Luo*, Shaozi Li*, Nicu Sebe, Shin'ichi Satoh, "Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning", AAAI 2021.

[12] Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li*, Yi Yang, "Learning to Adapt Invariance in Memory for Person Re-identification", IEEE Transactions on Pattern Analysis and Machine Intelligence 2020.

[13] Yongguo Ling, Zhun Zhong, Zhiming Luo*, Paolo Rota, Shaozi Li*, Nicu Sebe, "", ACM International Conference on Multimedia (MM) 2020.

[14] Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo*, Xing Sun*, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li, "Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification", AAAI 2020.

[15] Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li*, Yi Yang, "Invariance matters: Exemplar memory for domain adaptive person re-identification", CVPR 2019.