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Yi Zhou 0007
Person information
- affiliation: Southeast University, Nanjing, Jiangsu, China
- affiliation (former): Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
- affiliation (PhD 2018): University of East Anglia, Norwich, UK
Other persons with the same name
- Yi Zhou — disambiguation page
- Yi Zhou 0001
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China - Yi Zhou 0002 — Singapore Polytechnic,School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Yi Zhou 0003 — Shanghai Jiao Tong University, Computer Science Department, China
- Yi Zhou 0004
— Henan University, School of Computer and Information Engineering, Kaifeng, China (and 1 more) - Yi Zhou 0005
— Sun Yat-sen University, Zhongshan School of Medicine, Guangzhou, China - Yi Zhou 0006
— Monash University, Department of Management, Caulfield East, VIC, Australia (and 1 more) - Yi Zhou 0008
— Fudan University, Shanghai Engineering Research Center of Ultra Precision Optical Manufacturing, Shanghai, China - Yi Zhou 0009
— Columbus State University, GA, USA (and 1 more) - Yi Zhou 0010
— Hunan University, China (and 1 more)
- Yi Zhou 0011
— Dalian Maritime University, College of Information Science and Technology, China (and 1 more) - Yi Zhou 0012
— Southwest Jiaotong University, Provincial Key Laboratory of Information Coding and Transmission, Chengdu, China (and 1 more) - Yi Zhou 0013 — University of Western Sydney, School of Computing, Engineering and Mathematics, Australia
- Yi Zhou 0014
— Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 2 more) - Yi Zhou 0015
— IBM Research - Almaden, San Jose, CA, USA - Yi Zhou 0016
— University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China - Yi Zhou 0017
— Texas A&M University, College Station, TX, USA (and 1 more) - Yi Zhou 0018 — Bytedance AI Lab, China (and 1 more)
- Yi Zhou 0019
— University of Liverpool, UK - Yi Zhou 0020
— National University of Singapore, Department of Electrical, and Computer Engineering, Singapore - Yi Zhou 0022
— Wuhan University of Science and Technology, School of Information Science and Engineering, Engineering Research Center of Metallurgical Automation and Measurement Technology, China - Yi Zhou 0023
— Adobe Research, San Jose, CA, USA (and 2 more) - Yi Zhou 0024
— Soochow University, School of Electronics and Information Engineering, China - Yi Zhou 0025
— Carnegie Mellon University, Pittsburgh, PA, USA - Yi Zhou 0026
— University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China - Yi Zhou 0027
— Duke University, Durham, NC, USA - Yi Zhou 0028
— University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering, China - Yi Zhou 0029
— China Jiliang University, School of Measurement and Testing Engineering, Hangzhou, China - Yi Zhou 0030
— Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China - Yi Zhou 0031
— Northwestern Polytechnical University, School of Management, Xi'an, China - Yi Zhou 0032
— University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China - Yi Zhou 0033
— Shanghai Jiao Tong University, School of Oceanography, MoE Key Laboratory of Polar Ecosystem and Climate Change, China - Yi Zhou 0034
— Nanchang Hangkong University, School of Information Engineering, China - Yi Zhou 0035
— Imperial College London, School of Design Engineering, UK - Yi Zhou 0036
— University of Sanya, Saxo Fintech Business School, China - Yi Zhou 0037
— Wuhan University of Technology, School of Naval Architecture, Ocean and Energy Power Engineering, China - Yi Zhou 0038
— Beijing Institute of Control Engineering, Science and Technology on Space Intelligent Control Laboratory, China - Yi Zhou 0039
— Nanjing University of Aeronautics and Astronautics, China (and 1 more) - Yi Zhou 0040
— Meta Platforms, Inc., Menlo Park, CA, USA - Yi Zhou 0041
— Nanjing University of Information Science and Technology, School of Applied Meteorology, China - Yi Zhou 0042
— Johns Hopkins University, Baltimore, MD, USA - Yi Zhou 0043
— Sichuan University, College of Electrical Engineering, Chengdu, China (and 1 more) - Yi Zhou 0044
— Chongqing University, College of Computer Science, China - Yi Zhou 0045
— Chinese Academy of Sciences, Institute of Oceanology, CAS Key Laboratory of Marine Ecology and Environmental Sciences, Qingdao, China - Yi Zhou 0046
— Peking University, Beijing International Center for Mathematical Research, Beijing, China (and 2 more) - Yi Zhou 0047
— Shanghai University, School of Computer Engineering and Science, China - Yi Zhou 0048
— Jilin University, National Geophysical Exploration Equipment Engineering Research Center, College of Instrumentation and Electrical Engineering, MoE Key Laboratory of Geophysical Exploration Equipment, Changchun, China - Yi Zhou 0049
— Northeastern University, Software College, Shenyang, China - Yi Zhou 0050
— Chongqing College of Electronic Engineering, China - Yi Zhou 0051
— Southwest Institute of Technical Physics, China - Yi Zhou 0052
— Institute of Deep Perception Technology (JITRI), Wuxi, China (and 2 more) - Yi Zhou 0053
— Sichuan University, College of Computer Science, China - Yi Zhou 0054
— Nanjing University of Science and Technology, School of Energy and Power Engineering, China - Yi Zhou 0056
— Shanghai Jiao Tong University, China - Yi Zhou 0057
— Nanchang University, School of Software, China - Yi Zhou 0058
— Central South University, Xiangya Hospital, National Clinical Research Center for Geriatric Disorders, Eye Center, Hunan Key Laboratory of Ophthalmology, Changsha, China - Yi Zhou 0059
— Army Medical University, School of Basic Medicine, Chongqing, China - Yi Zhou 0060
— Sun Yat-sen University, School of Geography and Planning, Guangzhou, China - Yi Zhou 0061
— Huazhong Agricultural University, College of Informatics, Hubei Engineering Technology Research Center of Agricultural Big Data, Wuhan, China - Yi Zhou 0062
— Nanjing University of Information Science and Technology, School of Remote Sensing and Geomatics Engineering, China - Yi Zhou 0063
— Qingdao University of Science and Technology, College of Electromechanics Engineering, China - Yi Zhou 0064
— Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, State Key Laboratory of Functional Materials for Informatics, China - Yi Zhou 0065
— Wuhan Research Institute of Posts and Telecommunications, China - Yi Zhou 0066
— Beijing Jiaotong University, Key Laboratory of Transport Industry of Big Data Application, Technologies for Comprehensive Transport, China - Yi Zhou 0067
— Linköping University, Department of Computer and Information Science, Sweden - Yi Zhou 0068
— University of Science and Technology of China, School of Information Science and Technology, National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, Hefei, China - Yi Zhou 0069
— University of Finance and Economics, School of Computing and Artificial Intelligence, Chengdu, China (and 1 more) - Yi Zhou 0070
— Jilin University, China-Japan Union Hospital, Cancer Systems Biology Center, Changchun, China (and 1 more) - Yi Zhou 0071
— Nanjing University of Science and Technology, School of Mechanical Engineering, Jiangsu Research Center for Intelligent Navigation and Control of Complex Motion, China
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2020 – today
- 2025
[j24]Tao Zhou
, Yizhe Zhang
, Geng Chen
, Yi Zhou
, Ye Wu
, Deng-Ping Fan
:
Edge-aware Feature Aggregation Network for Polyp Segmentation. Mach. Intell. Res. 22(1): 101-116 (2025)
[j23]Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu
:
WeakPolyp-SAM: Segment Anything Model-driven weakly-supervised polyp segmentation. Knowl. Based Syst. 322: 113701 (2025)
[j22]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He
, Chen Gong
, Huazhu Fu
:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025)
[j21]Kaiwen Huang, Tao Zhou
, Huazhu Fu
, Yizhe Zhang, Yi Zhou
, Xiaojun Wu
:
Uncertainty-Aware Cross-Training for Semi-Supervised Medical Image Segmentation. IEEE Trans. Image Process. 34: 5543-5556 (2025)
[j20]Kaiwen Huang, Tao Zhou
, Huazhu Fu
, Yizhe Zhang, Yi Zhou
, Chen Gong
, Dong Liang
:
Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 44(5): 2295-2306 (2025)
[j19]Ziru Lu, Yizhe Zhang, Yi Zhou
, Ye Wu
, Tao Zhou
:
Domain-Interactive Contrastive Learning and Prototype-Guided Self-Training for Cross-Domain Polyp Segmentation. IEEE Trans. Medical Imaging 44(9): 3563-3573 (2025)
[j18]Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu:
A survey on deep learning for polyp segmentation: techniques, challenges and future trends. Vis. Intell. 3(1) (2025)
[c29]Yuang Yao, Ruiqi Wu, Yi Zhou, Tao Zhou:
Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities. MICCAI (5) 2025: 111-121
[c28]Kaiwen Huang, Yi Zhou, Huazhu Fu, Yizhe Zhang, Chen Gong, Tao Zhou:
Text-Driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. MICCAI (5) 2025: 604-613
[c27]Ziqi Ni
, Ao Fu
, Yi Zhou
:
FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis. ICMR 2025: 1036-1044
[i33]Ruiqi Wu, Na Su, Chenran Zhang, Tengfei Ma, Tao Zhou, Zhiting Cui, Nianfeng Tang, Tianyu Mao, Yi Zhou, Wen Fan, Tianxing Wu, Shenqi Jing, Huazhu Fu:
MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining. CoRR abs/2501.15798 (2025)
[i32]Ao Fu, Ziqi Ni, Yi Zhou:
Dual Audio-Centric Modality Coupling for Talking Head Generation. CoRR abs/2503.22728 (2025)
[i31]Kaiwen Huang, Yi Zhou, Huazhu Fu, Yizhe Zhang, Chen Gong, Tao Zhou:
Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. CoRR abs/2507.12382 (2025)
[i30]Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Xiao-Jun Wu:
Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation. CoRR abs/2508.09014 (2025)
[i29]Ruiqi Wu, Yuang Yao, Tengfei Ma, Chenran Zhang, Na Su, Tao Zhou, Geng Chen, Wen Fan, Yi Zhou:
Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning. CoRR abs/2508.16129 (2025)- 2024
[j17]Tao Zhou
, Yi Zhou
, Guangyu Li
, Geng Chen
, Jianbing Shen
:
Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7440-7453 (2024)
[j16]Sheng Luo
, Wei Chen
, Wanxin Tian
, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen
, Ruiqi Wu
, Shuyi Geng
, Yi Zhou
, Ling Shao
, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
:
Delving Into Multi-Modal Multi-Task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. IEEE Trans. Intell. Veh. 9(12): 8040-8063 (2024)
[c26]Xinhong Li, Geng Chen
, Yuanfeng Wu, Junqing Yang, Tao Zhou, Yi Zhou, Wentao Zhu:
MedSegViG: Medical Image Segmentation with a Vision Graph Neural Network. BIBM 2024: 3408-3411
[c25]Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. ICLR 2024
[c24]Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen
:
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. MICCAI (8) 2024: 634-644
[c23]Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou:
TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. MICCAI (11) 2024: 711-722
[c22]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. MICCAI (1) 2024: 722-732
[i28]Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu:
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. CoRR abs/2402.02968 (2024)
[i27]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. CoRR abs/2405.11793 (2024)
[i26]Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen
:
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. CoRR abs/2406.19364 (2024)
[i25]Ao Fu, Yi Zhou, Tao Zhou, Yi Yang, Bojun Gao, Qun Li, Guobin Wu, Ling Shao:
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey. CoRR abs/2411.02914 (2024)
[i24]Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Chen Gong, Dong Liang:
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation. CoRR abs/2412.13742 (2024)- 2023
[j15]Tao Zhou, Deng-Ping Fan
, Geng Chen
, Yi Zhou, Huazhu Fu
:
Specificity-preserving RGB-D saliency detection. Comput. Vis. Media 9(2): 297-317 (2023)
[j14]Yi Zhou
, Lei Huang, Tao Zhou, Hanshi Sun:
Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. 141: 567-576 (2023)
[j13]Lei Huang
, Jie Qin
, Yi Zhou
, Fan Zhu, Li Liu, Ling Shao
:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023)
[j12]Tao Zhou, Yi Zhou, Kelei He
, Chen Gong, Jian Yang, Huazhu Fu
, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023)
[j11]Hexiang Zhou, Yawen Huang, Yuexiang Li
, Yi Zhou
, Yefeng Zheng
:
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. IEEE J. Biomed. Health Informatics 27(3): 1409-1418 (2023)
[j10]Hengyi Yang, Tao Zhou
, Yi Zhou
, Yizhe Zhang, Huazhu Fu
:
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3349-3359 (2023)
[j9]Yonghao Li, Tao Zhou
, Kelei He
, Yi Zhou
, Dinggang Shen
:
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 42(11): 3395-3407 (2023)
[c21]Yixiao Yuan, Yawen Huang, Yi Zhou:
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion. DGM4MICCAI 2023: 143-153
[i23]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023)
[i22]Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong:
Can SAM Segment Polyps? CoRR abs/2304.07583 (2023)
[i21]Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng
, Ling Shao:
COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR abs/2308.10450 (2023)
[i20]Tao Zhou, Yizhe Zhang, Geng Chen
, Yi Zhou, Ye Wu, Deng-Ping Fan:
Edge-aware Feature Aggregation Network for Polyp Segmentation. CoRR abs/2309.10523 (2023)
[i19]Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. CoRR abs/2310.05453 (2023)
[i18]Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu:
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends. CoRR abs/2311.18373 (2023)
[i17]Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu:
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. CoRR abs/2312.00312 (2023)
[i16]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR abs/2312.16039 (2023)- 2022
[j8]Tao Zhou
, Yi Zhou
, Chen Gong
, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 7036-7047 (2022)
[j7]Yi Zhou
, Boyang Wang, Xiaodong He
, Shanshan Cui, Ling Shao
:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. IEEE J. Biomed. Health Informatics 26(1): 56-66 (2022)
[c20]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CVPR 2022: 753-762
[c19]Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu
:
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. MICCAI (8) 2022: 682-692
[i15]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CoRR abs/2203.10778 (2022)
[i14]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. CoRR abs/2212.00990 (2022)
[i13]Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. CoRR abs/2212.01108 (2022)- 2021
[j6]Yi Zhou
, Boyang Wang, Lei Huang
, Shanshan Cui, Ling Shao
:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40(3): 818-828 (2021)
[j5]Yi Zhou
, Tianfei Zhou
, Tao Zhou
, Huazhu Fu
, Jiacheng Liu, Ling Shao
:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging 40(4): 1196-1206 (2021)
[c18]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI 2021: 768-776
[c17]Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang:
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. AAAI 2021: 1984-1992
[c16]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521
[c15]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu
, Ling Shao:
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974
[c14]Tao Zhou, Huazhu Fu
, Geng Chen
, Yi Zhou, Deng-Ping Fan
, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671
[c13]Yi Zhou, Lei Huang, Tao Zhou, Ling Shao:
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV 2021: 8240-8250
[i12]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR abs/2102.13269 (2021)
[i11]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. CoRR abs/2108.08162 (2021)- 2020
[j4]Deng-Ping Fan
, Tao Zhou
, Ge-Peng Ji
, Yi Zhou
, Geng Chen
, Huazhu Fu
, Jianbing Shen
, Ling Shao
:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging 39(8): 2626-2637 (2020)
[c12]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. AAAI 2020: 13066-13073
[c11]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447
[i10]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. CoRR abs/2003.04253 (2020)
[i9]Lei Huang
, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation into the Stochasticity of Batch Whitening. CoRR abs/2003.12327 (2020)
[i8]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR abs/2004.14133 (2020)
[i7]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR abs/2008.09772 (2020)
[i6]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020)
[i5]Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang:
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. CoRR abs/2012.05007 (2020)
2010 – 2019
- 2019
[c10]Yi Zhou, Xiaodong He
, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao
:
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR 2019: 2079-2088
[c9]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
:
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR 2019: 4874-4883
[c8]Zhen Wei
, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao
:
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. CVPR 2019: 7115-7123
[c7]Yi Zhou, Xiaodong He
, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
:
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. MICCAI (1) 2019: 505-513
[c6]Xiaodong He
, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao
:
DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning. MICCAI (1) 2019: 788-796
[i4]Lei Huang
, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019)
[i3]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. CoRR abs/1912.04670 (2019)- 2018
[b1]Yi Zhou:
Deep visual feature learning for vehicle detection, recognition and re-identification. University of East Anglia, Norwich, UK, 2018
[j3]Li Liu, Yi Zhou, Ling Shao
:
Deep Action Parsing in Videos With Large-Scale Synthesized Data. IEEE Trans. Image Process. 27(6): 2869-2882 (2018)
[j2]Yi Zhou, Li Liu, Ling Shao
:
Vehicle Re-Identification by Deep Hidden Multi-View Inference. IEEE Trans. Image Process. 27(7): 3275-3287 (2018)
[j1]Yi Zhou, Li Liu, Ling Shao
, Matt Mellor:
Fast Automatic Vehicle Annotation for Urban Traffic Surveillance. IEEE Trans. Intell. Transp. Syst. 19(6): 1973-1984 (2018)
[c5]Yi Zhou, Ling Shao
:
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification. CVPR 2018: 6489-6498
[c4]Yi Zhou, Ling Shao
:
Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network. WACV 2018: 653-662- 2017
[c3]Yi Zhou, Ling Shao:
Cross-View GAN Based Vehicle Generation for Re-identification. BMVC 2017
[c2]Li Liu, Yi Zhou, Ling Shao
:
DAP3D-Net: Where, what and how actions occur in videos? ICRA 2017: 138-145- 2016
[c1]Yi Zhou, Li Liu, Ling Shao
, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. ECCV (2) 2016: 278-293
[i2]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, What and How Actions Occur in Videos? CoRR abs/1602.03346 (2016)
[i1]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. CoRR abs/1607.04564 (2016)
Coauthor Index

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last updated on 2026-01-28 04:50 CET by the dblp team
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