2024

Journal

• Jiawei Su, Zhiming Luo*, Sheng Lian, Dazhen Lin, Shaozi Li, "Mutual Learning with Reliable Pseudo Label for Semi-supervised Medical Image Segmentation", Medical Image Analysis.

Conference

• FengXiang Yang, Zhun Zhong, Zhiming Luo*, Yifan He, Shaozi Li, Nicu Sebe. "Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification", AAAI 2024. 

2023

Journal

• Juanjuan Weng, Zhiming Luo*, Dazhen Lin, Shaozi Li, "Learning Transferable Targeted Universal Adversarial Perturbations by Sequential Meta-Learning", Computers & Security.

• Juanjuan Weng, Zhiming Luo*, Dazhen Lin, Shaozi Li, "Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification", Computers & Security.

• Juanjuan Weng, Zhiming Luo*, Shaozi Li, Nicu Sebe,  Zhun Zhong, "Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration", IEEE Transactions on Information Forensics & Security.

• Zehua Chai, Yongguo Ling, Zhiming Luo, Dazhen Lin*, Min Jiang, Shaozi Li, "Dual-stream Transformer with Distribution Alignment for Visible-Infrared Person Re-Identification", IEEE Transactions on Circuits and Systems for Video Technology.

• Sheng Lian, Lei Li, Zhiming Luo*, Zhun Zhong, Beizhan Wang, Shaozi Li, "Learning multi-organ segmentation via partial-and mutual-prior from single-organ datasets", Biomedical Signal Processing and Control.

• Lei Li, Sheng Lian, Zhiming Luo, Dazhen Lin*, Beizhan Wang, Shaozi Li, "Learning multi-organ and tumor segmentation from partially labeled datasets by a Conditional Dynamic Attention Network", Concurrency and Computation: Practice and Experience.

• Shaopan Wang, Xin He, Jiezhou He, Shuang Li, Yuguang Chen, Changsheng Xu, Xiang Lin, Jie Kang, Wei Li*, Zhiming Luo*, Zuguo Liu*, "A Fully Automatic Estimation of Tear Meniscus Height Using Artificial Intelligence", Investigative Ophthalmology & Visual Science.

• Yuwen Liu,  Changsheng Xu, Shaopan Wang, Yuguang Chen, Xiang Lin, Shujia Guo, Zhaolin Liu, Yuqian Wang, Houjian Zhang, Yuli Guo, Caihong Huang, Huping Wu, Ying Li, Qian Chen, Jiaoyue Hu, Zhiming Luo, Zuguo Liu*, "Accurate detection and grading of pterygium through smartphone by a fusion training model", British Journal of Ophthalmology.

• Shaopan Wang, Jiezhou He, Xin He, Yuwen Liu,  Xiang Lin, Changsheng Xu, Linfangzi Zhu, Jie Kang, Yuqian Wang, Yong Li, ShujiaGuo,  Yunuo Zhang, Zhiming Luo, Zuguo Liu*, "AES-CSFS: An Automatic Evaluation System for Corneal Sodium Fluorescein Staining Based on Deep Learning", Therapeutic Advances in Chronic Disease.

Conference

• Fan Sun, Zhiming Luo*, Shaozi Li, "Boundary Difference Over Union Loss For Medical Image Segmentation", MICCAI 2023.

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

• 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.

• Cheng Tian, Zhiming Luo*, Guimin Shi, Shaozi Li, "Frequency-Aware Attentional Feature Fusion For DeepFake Detection", ICASSP 2023.

2022

Journal

• 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.

• Yuyang Zhao, Zhong Zhun*, Zhiming Luo, Gim Hee Lee, Nicu Sebe, "Source-Free Open Compound Domain Adaptation in Semantic Segmentation", IEEE Transactions on Circuits and Systems for Video Technology. [pdf]

• 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.  [pdf] [code]

Conference

• Jinlin Zhou, Zhiming Luo*, Shaozi Li, "Dynamic Selection Network For RGB-D Salient Object Detection", ICIP 2022.

• Wendong Wang, Fengxiang Yang, Zhiming Luo*, Shaozi Li, "Domain Generalized Person Re-identification by Locating and Eliminating Domain-Sensitive Features", ACCV 2022.

• Yao Niu, Zhiming Luo*, Sheng Lian, Lei Li, Shaozi Li, and Haixin Song, "Symmetrical Supervision with Transformer for Few-shot Medical Image Segmentation", BIBM 2022.

2021

Conference

• Lei Li, Sheng Lian, Zhiming Luo*, Shaozi Li*, Beizhang Wang, Shuo Li, "Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation", MICCAI 2021.

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

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

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

• 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.

• 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.

• 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.

• 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. [pdf] [code]

Journal

• Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li, "Improving Embedding Learning by Virtual Attribute Decoupling for Text-based Person Search",  Neural Computing and Applications.

• Junzheng Wang, Nanyu Li, Zhiming Luo*, Zhun Zhong, Shaozi Li, "High-Order-Interaction for Weakly Supervised Fine-Grained Visual Categorization", Neurocomputing.

• Wei Liu, Zhiming Luo*, Yuanzheng Cai, Ying Yu, Yang Ke, José Marcato, Wesley Nunes Gonçalves, Jonathan Li, "Adversarial Unsupervised Domain Adaptation for 3D Semantic Segmentation with Multi-Modal Learning",  ISPRS Journal of Photogrammetry and Remote Sensing.

• Sheng Lian, Zhiming Luo*, Cheng Feng, Shaozi Li*, Shuo Li*, "APRIL: Anatomical Prior-guided ReInforcement Learning for Accurate Carotid Lumen Diameter and Intima-media Thickness Measurement", Medical Image Analysis.

• Chengji Wang, Zhiming Luo*, Zhun Zhong, Shaozi Li, "SAFD: Single Shot Anchor Free Face Detector", Multimedia Tools and Applications.

• Chengji Wang, Zhiming Luo*, Zhun Zhong, Shaozi Li, "Divide-and-Merge the Embedding Space for Cross-Modality Person Search", Neurocomputing.

2020

• 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. [pdf]

• Yongguo Ling, Zhun Zhong, Zhiming Luo*, Paolo Rota, Shaozi Li*, Nicu Sebe, "Class-Aware Modality Mix and Center-Guided Metric Learning for Visible-Thermal Person Re-Identification", ACM International Conference on Multimedia (MM). [pdf]

• Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li*, "Joint imbalanced classification and feature selection for hospital readmissions", Knowledge-Based Systems. [pdf]

• 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. [pdf]

• Fengxiang Yang, Zhun Zhong, Zhiming Luo*, Sheng Lian, Shaozi Li, "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", IEEE Transactions on Multimedia. [pdf]

• Hongfeng Xu, Lei Chai, Zhiming Luo, Shaozi Li*, "Stock movement predictive network via incorporative attention mechanisms based on tweet and historical prices",  Neurocomputing. [pdf]

• Lei Chai, Hongfeng Xu, Zhiming Luo*, Shaozi Li, "A multi-source heterogeneous data analytic method for future price fluctuation prediction", Neurocomputing. [pdf]

2019

• Clement Zotti*, Zhiming Luo, Alain Lalande, Pierre-Marc Jodoin, "Convolutional neural network with shape prior applied to cardiac MRI segmentation", IEEE Journal of Biomedical and Health Informatics. [pdf]

• Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li*, "Manifold regularized discriminative feature selection for multi-label learning", Pattern Recognition. [pdf]

• Sheng Lian, Lei Li, Guiren Lian, Xiao Xiao, Zhiming Luo*, Shaozi Li*, "A global and local enhanced residual u-net for accurate retinal vessel segmentation", IEEE/ACM Transactions on Computational Biology and Bioinformatics. [pdf]

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

• Jia Zhang, Candong Li, Zhenqiang Sun, Zhiming Luo, Changen Zhou, Shaozi Li*, "Towards a unified multi-source-based optimization framework for multi-label learning", Applied Soft Computing. [pdf]

2018

• Wei Liu, Zhiming Luo*, Shaozi Li, "Improving deep ensemble vehicle classification by using selected adversarial samples", Knowledge-Based Systems. [pdf]

• Zhiming Luo, Frederic B.-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li*, Akshaya Mishra, Andrew Achkar, Justin Eichel, Pierre-Marc Jodoin, "MIO-TCD: A new benchmark dataset for vehicle classification and localization", IEEE Transactions on Image Processing. [pdf]

• Zilong Zhong, Jonathan Li*, Zhiming Luo, Michael Chapman, "Spectral–spatial residual network for hyperspectral image classification: A 3-D deep learning framework", IEEE Transactions on Geoscience and Remote Sensing. [pdf]

~2017

• Zhiming Luo, Akshaya Mishra, Andrew Achkar, Justin Eichel, Shaozi Li*, Pierre-Marc Jodoin , "Non-local deep features for salient object detection", CVPR. [pdf]

• Zhiming Luo, Pierre-Marc Jodoin, Song-Zhi Su*, Shao-Zi Li, Hugo Larochelle, "Traffic analytics with low-frame-rate videos", IEEE Transactions on Circuits and Systems for Video Technology. [pdf]

• Zhiming Luo, Pierre-Marc Jodoin, Shao-Zi Li, Song-Zhi Su, "Traffic analysis without motion features", ICIP. [pdf]

• Yi Wang*, Zhiming Luo, Pierre-Marc Jodoin, "Interactive deep learning method for segmenting moving objects", Pattern Recognition Letters. [pdf]