@article{zhao2024ijcv,title={Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization},author={Zhao, Yuyang and Zhong, Zhun and Zhao, Na and Sebe, Nicu and Lee, Gim Hee},journal={International Journal of Computer Vision},year={2023},}
TPAMI
A Memorizing and Generalizing Framework for Lifelong Person Re-Identification
@article{nan2023lifelongreid,title={A Memorizing and Generalizing Framework for Lifelong Person Re-Identification},author={Pu, Nan and Zhong†, Zhun and Sebe, Nicu and Lew, Michael},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2023},publisher={IEEE}}
@inproceedings{lu2023multi,title={Multi-View Domain Adaptive Object Detection on Camera Networks},author={Lu, Yan and Zhong, Zhun and Shu, Yuanchao},booktitle={AAAI},year={2023}}
@inproceedings{ling2022cross,title={Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification},author={Ling, Yongguo and Zhong, Zhun and Cao, Donglin and Luo, Zhiming and Lin, Yaojin and Li, Shaozi and Sebe, Nicu},booktitle={AAAI},year={2023}}
@inproceedings{weng2023,title={Exploring Non-Target Knowledge for Improving Ensemble Universal Adversarial Attacks},author={Weng, Juanjuan and Luo, Zhiming and Zhong, Zhun and Lin, Dazhen and Li, Shaozi},booktitle={AAAI},year={2023}}
@inproceedings{wu2023sparsely,title={Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures},author={Wu, Linshan and Zhong, Zhun and Fang, Leyuan and He, Xingxin and Liu, Qiang and Ma, Jiayi and Chen, Hao},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2023}}
@inproceedings{wang2023dynamically,title={Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation},author={Wang, Wei and Zhong, Zhun and Wang, Weijie and Chen, Xi and Ling, Charles and Wang, Boyu and Sebe, Nicu},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2023}}
@inproceedings{pu2023dynamic,title={Dynamic Conceptional Contrastive Learning for Generalized Category Discovery},author={Pu, Nan and Zhong†, Zhun and Sebe, Nicu},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2023}}
TITS
100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification
Jing Wang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu, Zhun Zhong, and Nicu Sebe
IEEE Transactions on Intelligent Transportation Systems 2023
@article{wang2023100,title={100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification},author={Wang, Jing and Li, Wenjing and Li, Fang and Zhang, Jun and Wu, Zhongcheng and Zhong, Zhun and Sebe, Nicu},journal={IEEE Transactions on Intelligent Transportation Systems},year={2023},publisher={IEEE}}
AIJ
Mitigating robust overfitting via self-residual-calibration regularization
Hong Liu, Zhun Zhong†, Nicu Sebe, and Shin’ichi Satoh
@article{liu2023mitigating,title={Mitigating robust overfitting via self-residual-calibration regularization},author={Liu, Hong and Zhong†, Zhun and Sebe, Nicu and Satoh, Shin'ichi},journal={Artificial Intelligence},pages={103877},year={2023},publisher={Elsevier}}
@article{wu2023querying,title={Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation},author={Wu, Linshan and Fang, Leyuan and He, Xingxin and He, Min and Ma, Jiayi and Zhong, Zhun},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2023},publisher={IEEE}}
@inproceedings{zhong2022advstyle,title={Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation},author={Zhong*†, Zhun and Zhao*, Yuyang and Lee, Gim Hee and Sebe, Nicu},booktitle={NeurIPS},year={2022}}
@inproceedings{zhao2022shdc,title={Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation},author={Zhao, Yuyang and Zhong, Zhun and Zhao, Na and Sebe, Nicu and Lee, Gim Hee},booktitle={ECCV},year={2022}}
@inproceedings{zhang20213d,title={3D-Aware Semantic-Guided Generative Model for Human Synthesis},author={Zhang, Jichao and Sangineto, Enver and Tang, Hao and Siarohin, Aliaksandr and Zhong, Zhun and Sebe, Nicu and Wang, Wei},booktitle={ECCV},year={2022}}
TCSVT
Source-Free Open Compound Domain Adaptation in Semantic Segmentation
Yuyang Zhao*, Zhun Zhong*†, Zhiming Luo, Gim Hee Lee, and Nicu Sebe
IEEE Transactions on Circuits and Systems for Video Technology 2022
@article{zhao2021source,title={Source-Free Open Compound Domain Adaptation in Semantic Segmentation},author={Zhao*, Yuyang and Zhong*†, Zhun and Luo, Zhiming and Lee, Gim Hee and Sebe, Nicu},journal={IEEE Transactions on Circuits and Systems for Video Technology},year={2022}}
TIP
Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
Jinliang Lin, Zhedong Zheng, Zhun Zhong, Zhiming Luo, Shaozi Li, Yi Yang, and Nicu Sebe
@article{lin2022,title={Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization},author={Lin, Jinliang and Zheng, Zhedong and Zhong, Zhun and Luo, Zhiming and Li, Shaozi and Yang, Yi and Sebe, Nicu},journal={IEEE Transactions on Image Processing (TIP)},year={2022}}
@inproceedings{zhao2022ncdss,title={Novel Class Discovery in Semantic Segmentation},author={Zhao, Yuyang and Zhong, Zhun and Sebe, Nicu and Lee, Gim Hee},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2022}}
@inproceedings{incd2022,title={Class-incremental Novel Class Discovery},author={Roy, Subhankar and Liu, Mingxuan and Zhong, Zhun and Sebe, Nicu and Ricci, Elisa},booktitle={ECCV},year={2022}}
TPAMI
Towards Robust Person Re-Identification by Defending Against Universal Attackers
Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, and 3 more authors
IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
@article{metaAD,author={Yang, Fengxiang and Weng, Juanjuan and Zhong, Zhun and Liu, Hong and Wang, Zheng and Luo, Zhiming and Cao, Donglin and Li, Shaozi and Satoh, Shin'ichi and Sebe, Nicu},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},title={Towards Robust Person Re-Identification by Defending Against Universal Attackers},year={2022},pages={1-17},doi={10.1109/TPAMI.2022.3199013}}
@inproceedings{Fini_2021_ICCV,author={Fini, Enrico and Sangineto, Enver and Lathuilière, Stéphane and Zhong†, Zhun and Nabi, Moin and Ricci, Elisa},title={A Unified Objective for Novel Class Discovery},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oral},year={2021}}
@inproceedings{Zhong_2021_CVPR,author={Zhong*, Zhun and Fini*, Enrico and Roy, Subhankar and Luo, Zhiming and Ricci, Elisa and Sebe, Nicu},title={Neighborhood Contrastive Learning for Novel Class Discovery},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021},pages={10867-10875}}
@inproceedings{zhong2021openmix,title={OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World},author={Zhong, Zhun and Zhu, Linchao and Luo, Zhiming and Li, Shaozi and Yang, Yi and Sebe, Nicu},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021}}
@inproceedings{Yang2021MetaCam,title={Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification},author={Yang*, Fengxiang and Zhong*, Zhun and Luo, Zhiming and Yuanzheng, Cai and Li, Shaozi and Sebe, Nicu},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021}}
@inproceedings{Zhao2021M3L,title={Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification},author={Zhao*, Yuyang and Zhong*, Zhun and Yang, Fengxiang and Luo, Zhiming and Li, Shaozi and Sebe, Nicu},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021}}
@inproceedings{Roy2021CGCT,title={Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation},author={Roy, Subhankar and Krivosheev, Evgeny and Zhong†, Zhun and Ricci, Elisa and Sebe, Nicu},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021}}
@inproceedings{Yang2021MetaAttack,title={Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided MetaLearning},author={Yang, Fengxiang and Zhong, Zhun and Liu, Hong and Wang, Zheng and Luo, Zhiming and Li, Shaozi and Sebe, Nicu and Satoh, Shin’ichi},booktitle={AAAI},year={2021}}
TPAMI
Learning to Adapt Invariance in Memory for Person Re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
@article{zhong2020memory,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={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},year={2021},volume={43},number={8},pages={2723-2738},doi={10.1109/TPAMI.2020.2976933},issn={1939-3539}}
@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)!
@inproceedings{zhong2019invariance,title={Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification},author={Zhong, Zhun and Zheng, Liang and Luo, Zhiming and Li, Shaozi and Yang, Yi},booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year={2019}}
TIP
CamStyle: A Novel Data Augmentation Method for Person Re-identification
Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, and Yi Yang
@article{zhong2019camstyle,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={IEEE Transactions on Image Processing},volume={28},number={3},pages={1176--1190},publisher={IEEE},year={2019}}
@inproceedings{zhong2018generalizing,title={Generalizing A Person Retrieval Model Hetero-and Homogeneously},author={Zhong, Zhun and Zheng, Liang and Li, Shaozi and Yang, Yi},booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},pages={172--188},year={2018}}
@inproceedings{zhong2018camera,title={Camera style adaptation for person re-identification},author={Zhong, Zhun and Zheng, Liang and Zheng, Zhedong and Li, Shaozi and Yang, Yi},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},pages={5157--5166},year={2018}}
@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+!
Neurocomputing
Class-specific object proposals re-ranking for object detection in automatic driving
Zhun Zhong, Mingyi Lei, Donglin Cao, Jianping Fan, and Shaozi Li
@article{zhong2017class,title={Class-specific object proposals re-ranking for object detection in automatic driving},author={Zhong, Zhun and Lei, Mingyi and Cao, Donglin and Fan, Jianping and Li, Shaozi},journal={Neurocomputing},volume={242},pages={187--194},year={2017},publisher={Elsevier}}
MTA
Detecting ground control points via convolutional neural network for stereo matching
Zhun Zhong, Songzhi Su, Donglin Cao, Shaozi Li, and Zhihan Lv
@article{zhong2017detecting,title={Detecting ground control points via convolutional neural network for stereo matching},author={Zhong, Zhun and Su, Songzhi and Cao, Donglin and Li, Shaozi and Lv, Zhihan},journal={Multimedia Tools and Applications},volume={76},number={18},pages={18473--18488},year={2017},publisher={Springer}}
2015
ICIP
Unsupervised domain adaption dictionary learning for visual recognition
Zhun Zhong, Zongmin Li, Runlin Li, and Xiaoxia Sun
@article{zhong2015unsupervised,title={Unsupervised domain adaption dictionary learning for visual recognition},author={Zhong, Zhun and Li, Zongmin and Li, Runlin and Sun, Xiaoxia},journal={ICIP-NoShow-PAKDD},year={2015}}