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ORCIDLei Qi 0001
Person information
- affiliation: Southeast University, Nanjing, Jiangsu, China
- affiliation (former): Nanjing University, Nanjing, Jiangsu, China
Other persons with the same name
- Lei Qi — disambiguation page
- Lei Qi 0002 — Harbin Engineering University, Harbin, China
- Lei Qi 0003 — North University of China, Taiyuan, China
- Lei Qi 0004 — Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China (and 1 more)
- Lei Qi 0005
![[0000-0002-5175-7607]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5175-7607")
— North China Electric Power University, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China (and 1 more) - Lei Qi 0006 — Shenyang University of Technology, School of Electrical Engineering, China (and 1 more)
Other persons with a similar name
- Qi-Lei Hu
- Qi Lei
- Qi-Wen Emma Lei
- Shu-Qi Lei
- Yunqi Lei (aka: Yun-Qi Lei) — disambiguation page
- Lei S. Qi
- Qi-Lei Xu
- Qi-Lei Zou
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2020 – today
- 2024
[j30]Jiajun Hu, Lei Qi, Jian Zhang, Yinghuan Shi:
Domain generalization via Inter-domain Alignment and Intra-domain Expansion. Pattern Recognit. 146: 110029 (2024)- [j29]Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng:
Generalizable Metric Network for Cross-Domain Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9039-9052 (2024) - [j28]Ming Dai, Enhui Zheng, Zhen-Hua Feng, Lei Qi, Jiedong Zhuang, Wankou Yang:
Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments. IEEE Trans. Image Process. 33: 493-508 (2024) - [j27]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
NormAUG: Normalization-Guided Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 1419-1431 (2024) - [j26]Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao:
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. IEEE Trans. Image Process. 33: 1627-1642 (2024) - [j25]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 5622-5636 (2024) - [j24]Ziyu Li, Yuncong Yao, Zhibin Quan, Lei Qi, Zhen-Hua Feng, Wankou Yang:
Adaptation via Proxy: Building Instance-Aware Proxy for Unsupervised Domain Adaptive 3D Object Detection. IEEE Trans. Intell. Veh. 9(2): 3478-3492 (2024) - [j23]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization With Large Learning Rates. IEEE Trans. Knowl. Data Eng. 36(11): 6145-6158 (2024) - [j22]Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8441-8455 (2024) - [j21]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
PLACE Dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 65:1-65:23 (2024) - [j20]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 Trans. Multim. Comput. Commun. Appl. 20(5): 126:1-126:20 (2024) - [j19]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 184:1-184:21 (2024) - [c36]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. AAAI 2024: 11381-11389 - [c35]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. AAAI 2024: 11829-11837 - [c34]Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. CVPR 2024: 11642-11651 - [c33]Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. ECCV (54) 2024: 74-91 - [c32]Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. ECCV (51) 2024: 198-216 - [c31]Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. ACM Multimedia 2024: 9397-9406 - [i53]Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao:
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. CoRR abs/2401.05752 (2024) - [i52]Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao:
Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. CoRR abs/2403.11229 (2024) - [i51]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Token Augmentation for Domain Generalization. CoRR abs/2403.11792 (2024) - [i50]Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. CoRR abs/2404.08951 (2024) - [i49]Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. CoRR abs/2407.11356 (2024) - [i48]Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. CoRR abs/2407.15085 (2024) - [i47]Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. CoRR abs/2408.01349 (2024) - 2023
- [j18]Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo:
Defensive Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5649-5667 (2023) - [j17]Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization. Pattern Recognit. 133: 108987 (2023) - [j16]Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework. Pattern Recognit. 140: 109546 (2023) - [j15]Shumeng Li, Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 582-593 (2023) - [j14]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification. IEEE Trans. Multim. 25: 4856-4867 (2023) - [c30]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CVPR 2023: 3302-3311 - [c29]Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi:
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. CVPR 2023: 7236-7246 - [c28]Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi:
ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization. CVPR 2023: 24132-24141 - [c27]Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi:
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. ICCV 2023: 11530-11539 - [c26]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. ICCV 2023: 15824-15833 - [c25]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. ICCV 2023: 15834-15843 - [c24]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Towards Semi-supervised Learning with Non-random Missing Labels. ICCV 2023: 16075-16085 - [c23]Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao:
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. ICCV 2023: 16141-16150 - [c22]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. ICCV 2023: 18925-18935 - [c21]Jintao Guo, Lei Qi, Yinghuan Shi:
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. ICCV 2023: 19057-19067 - [c20]Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks. MICCAI (3) 2023: 614-624 - [c19]Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng:
Generalizable Label Distribution Learning. ACM Multimedia 2023: 8932-8941 - [i46]Zhangkai Wu, Longbing Cao, Lei Qi:
eVAE: Evolutionary Variational Autoencoder. CoRR abs/2301.00011 (2023) - [i45]Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi:
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization. CoRR abs/2303.11674 (2023) - [i44]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CoRR abs/2303.13090 (2023) - [i43]Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng:
Generalizable Metric Network for Cross-domain Person Re-identification. CoRR abs/2306.11991 (2023) - [i42]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
NormAUG: Normalization-guided Augmentation for Domain Generalization. CoRR abs/2307.13492 (2023) - [i41]Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks. CoRR abs/2307.16256 (2023) - [i40]Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng:
A Novel Cross-Perturbation for Single Domain Generalization. CoRR abs/2308.00918 (2023) - [i39]Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao:
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. CoRR abs/2308.06777 (2023) - [i38]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Towards Semi-supervised Learning with Non-random Missing Labels. CoRR abs/2308.08872 (2023) - [i37]Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi:
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. CoRR abs/2308.09391 (2023) - [i36]Jintao Guo, Lei Qi, Yinghuan Shi:
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. CoRR abs/2308.10285 (2023) - [i35]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. CoRR abs/2308.10297 (2023) - [i34]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. CoRR abs/2308.13168 (2023) - [i33]Ze Peng, Lei Qi, Yinghuan Shi, Yang Gao:
A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness. CoRR abs/2309.03004 (2023) - [i32]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. CoRR abs/2309.03598 (2023) - [i31]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization with Large Learning Rates. CoRR abs/2309.06337 (2023) - [i30]Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng:
Scalable Label Distribution Learning for Multi-Label Classification. CoRR abs/2311.16556 (2023) - [i29]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. CoRR abs/2312.12237 (2023) - [i28]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. CoRR abs/2312.16983 (2023) - 2022
- [j13]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable model-agnostic semantic segmentation via target-specific normalization. Pattern Recognit. 122: 108292 (2022) - [j12]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2921-2936 (2022) - [j11]Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Feature-Based Style Randomization for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5495-5509 (2022) - [j10]Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng:
Label Distribution Learning for Generalizable Multisource Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 17: 3139-3150 (2022) - [j9]Qian Yu, Lei Qi, Yang Gao, Wuzhang Wang, Yinghuan Shi:
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation. IEEE Trans. Image Process. 31: 5893-5908 (2022) - [j8]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 Trans. Medical Imaging 41(1): 121-132 (2022) - [j7]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022) - [c18]Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu:
Learngene: From Open-World to Your Learning Task. AAAI 2022: 8557-8565 - [c17]Ziyuan Wang, Zhen Zhao, Lei Qi, Yinghuan Shi, Yang Gao:
Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition. CCIS 2022: 612-616 - [c16]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. CVPR 2022: 4258-4267 - [c15]Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi:
DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. CVPR 2022: 9747-9755 - [c14]Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi:
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. CVPR 2022: 20824-20833 - [c13]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
MVDG: A Unified Multi-view Framework for Domain Generalization. ECCV (27) 2022: 161-177 - [c12]Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. ECCV (21) 2022: 420-436 - [c11]Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. ECCV (30) 2022: 533-549 - [c10]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. NeurIPS 2022 - [i27]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. CoRR abs/2201.09846 (2022) - [i26]Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. CoRR abs/2203.14316 (2022) - [i25]Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng:
Label Distribution Learning for Generalizable Multi-source Person Re-identification. CoRR abs/2204.05903 (2022) - [i24]Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. CoRR abs/2208.03901 (2022) - [i23]Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. CoRR abs/2208.04619 (2022) - [i22]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. CoRR abs/2208.05853 (2022) - [i21]Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi:
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. CoRR abs/2208.09910 (2022) - 2021
- [j6]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021) - [j5]Yang Li, Lei Wang, Wenming Zheng, Yuan Zong, Lei Qi, Zhen Cui, Tong Zhang, Tengfei Song:
A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 13(2): 354-367 (2021) - [j4]Xinqiang Chen, Zhibin Li, Yongsheng Yang, Lei Qi, Ruimin Ke:
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos. IEEE Trans. Intell. Transp. Syst. 22(5): 3190-3202 (2021) - [j3]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 27:1-27:22 (2021) - [c9]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. ICCV 2021: 8701-8710 - [i20]Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation. CoRR abs/2101.06853 (2021) - [i19]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021) - [i18]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. CoRR abs/2103.15402 (2021) - [i17]Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Feature-based Style Randomization for Domain Generalization. CoRR abs/2106.03171 (2021) - [i16]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. CoRR abs/2106.05095 (2021) - [i15]Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu:
Learngene: From Open-World to Your Learning Task. CoRR abs/2106.06788 (2021) - [i14]Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao:
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. CoRR abs/2107.11517 (2021) - [i13]Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization. CoRR abs/2110.04820 (2021) - [i12]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation. CoRR abs/2110.08762 (2021) - [i11]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. CoRR abs/2111.15077 (2021) - [i10]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
Domain Generalization via Progressive Layer-wise and Channel-wise Dropout. CoRR abs/2112.03676 (2021) - [i9]Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi:
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. CoRR abs/2112.11177 (2021) - [i8]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
More is Better: A Novel Multi-view Framework for Domain Generalization. CoRR abs/2112.12329 (2021) - 2020
- [j2]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2815-2829 (2020) - [c8]Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. AAAI 2020: 12087-12094 - [c7]Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao:
Biased Feature Learning for Occlusion Invariant Face Recognition. IJCAI 2020: 666-672 - [c6]Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao:
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. IJCAI 2020: 2718-2724 - [i7]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization. CoRR abs/2003.12296 (2020)
2010 – 2019
- 2019
- [c5]Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. ICCV 2019: 8079-8088 - [c4]Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
A Mask Based Deep Ranking Neural Network for Person Retrieval. ICME 2019: 496-501 - [i6]Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. CoRR abs/1904.03425 (2019) - [i5]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. CoRR abs/1908.00862 (2019) - [i4]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. CoRR abs/1908.05142 (2019) - [i3]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. CoRR abs/1908.05669 (2019) - [i2]Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-learning Model for Few-shot Semantic Segmentation. CoRR abs/1911.10371 (2019) - 2018
- [j1]Lei Qi, Jing Huo, Xiaocong Fan, Yinghuan Shi, Yang Gao:
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification. IEEE J. Sel. Top. Signal Process. 12(6): 1263-1275 (2018) - [c3]Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Sheri:
A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. ICASSP 2018: 806-810 - [c2]Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao:
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. PRICAI 2018: 482-490 - [i1]Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification. CoRR abs/1804.03864 (2018) - 2016
- [c1]Lei Qi, Yinghuan Shi, Huihui Wang, Wanqi Yang, Yang Gao:
Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix. IDEAL 2016: 321-331
Coauthor Index
[j26] [j25] [j23] [j22] [j21] [c36] [c34] [c33] [c32] [i53] [i52] [i51] [i50] [i49] [i48] [j18] [j17] [j15] [c30] [c26] [c22] [c20] [i44] [i41] [i35] [i34] [i33] [i31] [i28] [j13] [j12] [j11] [j9] [j8] [j7] [c17] [c16] [c13] [i26] [j6] [j3] [c9] [i20] [i19] [i18] [i17] [i16] [i14] [i13] [i12] [i10] [i8] [j2] [c8] [c7] [c6] [i7] [c5] [c4] [i6] [i5] [i4] [i3] [i2] [j1] [c3] [c2] [i1] [c1]
[j30] [j29] [j27] [j26] [j25] [j23] [j22] [j21] [j19] [c36] [c35] [c34] [c33] [c32] [c31] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [j17] [j16] [j15] [j14] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i29] [i28] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j6] [j3] [c9] [i20] [i19] [i18] [i17] [i16] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j2] [c8] [c6] [i7] [c5] [c4] [i6] [i5] [i4] [i3] [i2] [j1] [c3] [i1] [c1]
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