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2020 – today
- 2024
[j56]Jiajun Hu, Lei Qi, Jian Zhang, Yinghuan Shi:
Domain generalization via Inter-domain Alignment and Intra-domain Expansion. Pattern Recognit. 146: 110029 (2024)- [j55]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) - [j54]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
NormAUG: Normalization-Guided Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 1419-1431 (2024) - [j53]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) - [j52]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) - [j51]Weijin Xu, Huihua Yang, Yinghuan Shi, Tao Tan, Wentao Liu, Xipeng Pan, Yiming Deng, Feng Gao, Ruisheng Su:
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. IEEE J. Biomed. Health Informatics 28(3): 1472-1483 (2024) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [i69]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) - [i68]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) - [i67]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Token Augmentation for Domain Generalization. CoRR abs/2403.11792 (2024) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]Zhan Fa, Shumeng Li, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi:
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation. CoRR abs/2410.11509 (2024) - [i61]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation. CoRR abs/2410.16020 (2024) - 2023
- [j46]Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14938-14955 (2023) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
A Multilayer Framework for Online Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6701-6713 (2023) - [c60]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CVPR 2023: 3302-3311 - [c59]Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi:
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. CVPR 2023: 7236-7246 - [c58]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 - [c57]Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi:
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. ICCV 2023: 11530-11539 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. ICCV 2023: 18925-18935 - [c51]Jintao Guo, Lei Qi, Yinghuan Shi:
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. ICCV 2023: 19057-19067 - [c50]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 - [c49]Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao:
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. NeurIPS 2023 - [i60]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) - [i59]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) - [i58]Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng:
Generalizable Metric Network for Cross-domain Person Re-identification. CoRR abs/2306.11991 (2023) - [i57]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
NormAUG: Normalization-guided Augmentation for Domain Generalization. CoRR abs/2307.13492 (2023) - [i56]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) - [i55]Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng:
A Novel Cross-Perturbation for Single Domain Generalization. CoRR abs/2308.00918 (2023) - [i54]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) - [i53]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) - [i52]Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi:
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. CoRR abs/2308.09391 (2023) - [i51]Jintao Guo, Lei Qi, Yinghuan Shi:
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. CoRR abs/2308.10285 (2023) - [i50]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. CoRR abs/2308.10297 (2023) - [i49]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) - [i48]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) - [i47]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) - [i46]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization with Large Learning Rates. CoRR abs/2309.06337 (2023) - [i45]Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao:
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. CoRR abs/2310.15160 (2023) - [i44]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) - [i43]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
- [j40]Yang Liu, Kun Gao, Hongbin Deng, Tong Ling, Jiajia Lin, Xianqiang Yu, Xiangwei Bo, Jing Zhou, Lin Gao, Peng Wang, Jiajun Hu, Jian Zhang, Zhihui Tong, Yuxiu Liu, Yinghuan Shi, Lu Ke, Yang Gao, Weiqin Li:
A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study. Int. J. Medical Informatics 163: 104776 (2022) - [j39]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable model-agnostic semantic segmentation via target-specific normalization. Pattern Recognit. 122: 108292 (2022) - [j38]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) - [j37]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) - [j36]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) - [j35]Weilei Wen, Wenqi Ren, Yinghuan Shi, Yunfeng Nie, Jingang Zhang, Xiaochun Cao:
Video Super-Resolution via a Spatio-Temporal Alignment Network. IEEE Trans. Image Process. 31: 1761-1773 (2022) - [j34]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) - [j33]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) - [j32]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) - [c48]Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao:
LaSSL: Label-Guided Self-Training for Semi-supervised Learning. AAAI 2022: 9208-9216 - [c47]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 - [c46]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. CVPR 2022: 4258-4267 - [c45]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 - [c44]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 - [c43]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
MVDG: A Unified Multi-view Framework for Domain Generalization. ECCV (27) 2022: 161-177 - [c42]Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. ECCV (21) 2022: 420-436 - [c41]Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. ECCV (30) 2022: 533-549 - [c40]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 - [e5]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - [i42]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) - [i41]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) - [i40]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) - [i39]Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. CoRR abs/2208.03901 (2022) - [i38]Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. CoRR abs/2208.04619 (2022) - [i37]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. CoRR abs/2208.05853 (2022) - [i36]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
- [j31]Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou, Yang Gao, Dinggang Shen:
Interactive medical image segmentation via a point-based interaction. Artif. Intell. Medicine 111: 101998 (2021) - [j30]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) - [j29]Gaoping Liu, Zehong Cao, Qiang Xu, Qirui Zhang, Fang Yang, Xinyu Xie, Jingru Hao, Yinghuan Shi, Boris C. Bernhardt, Yichu He, Feng Shi, Guangming Lu, Zhiqiang Zhang:
Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. NeuroImage 245: 118687 (2021) - [j28]Qian Yu, Yang Gao, Yefeng Zheng, Jianbing Zhu, Yakang Dai, Yinghuan Shi:
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. Pattern Recognit. 113: 107756 (2021) - [j27]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113: 107828 (2021) - [j26]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics 25(9): 3258-3269 (2021) - [j25]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) - [c39]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. ICCV 2021: 8701-8710 - [c38]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. ICCV 2021: 14841-14849 - [i35]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) - [i34]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) - [i33]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. CoRR abs/2103.15402 (2021) - [i32]Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Feature-based Style Randomization for Domain Generalization. CoRR abs/2106.03171 (2021) - [i31]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) - [i30]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) - [i29]Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-shot Learning. CoRR abs/2109.04898 (2021) - [i28]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) - [i27]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) - [i26]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) - [i25]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
Domain Generalization via Progressive Layer-wise and Channel-wise Dropout. CoRR abs/2112.03676 (2021) - [i24]