Email: qilei[AT]seu.edu.cn
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- [2024.7] 招收2025计算机学院、软件学院和东蒙联合研究生院保研的同学,欢迎代码能力强及对CV和ML感兴趣的同学与我联系!
- [2020.10] My homepage is launched.
Aout Me
I am an associate researcher (Zhishan (至善) postdoctoral researcher) from School of Computer Science and Engineering at Southeast University. Also, I am a member of PAttern Learning and Mining (PALM) Lab, led by Prof.
Xin Geng. I got my Ph. D. degree from Nanjing University in 2020, supervised by Prof.
Yang Gao. In 2011 and 2015, I obtained my bachelor degree and master degree in computer science from Nanjing Normal University and Nanjing University of Science and Technology, respectively. From August 2018 to August 2019, I was a visiting student at University of Wollongong, supervised by Prof.
Lei Wang.
Research Interests
My research interests include
Computer Vision (CV) and
Machine Learning (ML).
Currently, I mainly focus on the CV topics including
person re-identification and
semantic segmentation, etc.
For ML, I am interested in
domain generalization (
DG),
domain adaptation,
unsupervised learning and
semi-supervised learning.
*: Equal Contribution; #: Corresponding Author.
Journal:
- Yunlong Tang, Yuxuan Wan, Lei Qi#, Xin Geng#.
“DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization”.
IEEE Transactions on Multimedia (IEEE TMM), 2024.
- Dongjia Zhao, Lei Qi#, Xiao Shi, Yinghuan Shi, Xin Geng.
“A Novel Cross-Perturbation for Single Domain Generalization”.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2024.
- Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng.
“Generalizable Metric Network for Cross-domain Person Re-identification”.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2024.
- Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng.
“MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization”.
ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2024.
- Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng.
“NormAUG: Normalization-guided Augmentation for Domain Generalization”.
IEEE Transactions on Image Processing (IEEE TIP), 2024.
- Na Wang*, Lei Qi*, Jintao Guo, Yinghuan Shi, Yang Gao.
“Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations”.
IEEE Transactions on Image Processing (IEEE TIP), 2023.
- Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng.
“DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory”.
ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2023.
- Jiajun Hu*, Lei Qi*, Jian Zhang, Yinghuan Shi.
“Domain generalization via Inter-domain Alignment and Intra-domain Expansion”.
Pattern Recognition (PR), 2023.
- Jintao Guo, Lei Qi#, Yinghuan Shi#, Yang Gao.
“PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization”.
ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2023.
- Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng.
“Unsupervised Generalizable Multi-source Person Re-identification: A Domain-specific Adaptive Framework”.
Pattern Recognition (PR), 2023.
- Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng.
“Label Distribution Learning for Generalizable Multi-source Person Re-identification”.
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022.
- Ruiqi Wang*, Lei Qi*, Yinghuan Shi, Yang Gao.
“Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization”.
Pattern Recognition (PR), 2022.
- Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng.
“A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification”.
IEEE Transactions on Multimedia (IEEE TMM), 2022.
- Yue Wang*, Lei Qi*, Yinghuan Shi, Yang Gao.
“Feature-based Style Randomization for Domain Generalization”.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022.
- Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao.
“Generalizable Model-agnostic Semantic Segmentation via Target-specific Normalization”.
Pattern Recognition (PR), 2021.
- Xiaoting Han*, Lei Qi*, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao.
“Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation”.
IEEE Transactions on Medical Imaging (IEEE TMI), 2021.
- Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao.
“Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification”.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2021.
- Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao.
“GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification” .
ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2020.
- Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao.
“Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification”.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020.
Conference:
- Jiajun Hu, Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao.
“Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization”.
European Conference on Computer Vision (ECCV), 2024.
- Xingyu Zhao, Lei Qi#, Yuexuan An, Xin Geng#.
“Generalizable Label Distribution Learning”.
ACM International Conference on Multimedia (MM), 2023.
- Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao.
“DomainAdaptor: A Novel Approach to Test-time Adaptation”.
IEEE International Conference on Computer Vision (ICCV), 2023.
- Jintao Guo, Lei Qi#, Yinghuan Shi#.
“DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization”.
IEEE International Conference on Computer Vision (ICCV), 2023.
- Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao.
“IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization”.
IEEE International Conference on Computer Vision (ICCV), 2023.
- Jintao Guo, Na Wang, Lei Qi#, Yinghuan Shi#.
“ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-Frequency Transform for Domain Generalization”.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
- Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi.
“Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation”.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
- Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao.
“MVDG: A Unified Multi-view Framework for Domain Generalization”.
European Conference on Computer Vision (ECCV), 2022.
- Ziqi Zhou, Lei Qi#, Yinghuan Shi#.
“Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration”.
European Conference on Computer Vision (ECCV), 2022.
- Yue Duan, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi.
“RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning”.
European Conference on Computer Vision (ECCV), 2022.
- Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi.
“Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization”.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
- Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao.
“A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification”.
IEEE International Conference on Computer Vision (ICCV), 2019.
Awards
- 2020, Outstanding Doctoral Thesis Award from JSAI | 江苏省人工智能学会优秀博士论文奖
- 2020, Outstanding Graduates, Nanjing University | 南京大学优秀毕业生
- 2019, Meritocracy Scholarship, Nanjing University | 南京大学英才奖学金