Publications

@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}
}

@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}
}

@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}
}

@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}
}

@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},
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}