Yi Zhou

According to our database, Yi Zhou authored at least 42 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.

Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen

IEEE Trans. Medical Imaging, November, 2023

Cross-level Feature Aggregation Network for Polyp Segmentation.

Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen

Pattern Recognit., August, 2023

Normalization Techniques in Training DNNs: Methodology, Analysis and Application.

Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation.

Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu

IEEE J. Biomed. Health Informatics, July, 2023

Combating medical noisy labels by disentangled distribution learning and consistency regularization.

Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun

Future Gener. Comput. Syst., April, 2023

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation.

Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng

IEEE J. Biomed. Health Informatics, March, 2023

Specificity-preserving RGB-D saliency detection.

Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu

Comput. Vis. Media, 2023

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation.

Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu

CoRR, 2023

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation.

Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou

CoRR, 2023

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype.

Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao

CoRR, 2023

Self-Paced Learning for Open-Set Domain Adaptation.

Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao

CoRR, 2023

Rethinking a Unified Generative Adversarial Model for MRI Modality Completion.

Yixiao Yuan, Yawen Huang, Yi Zhou

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

2022

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images.

Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao

IEEE J. Biomed. Health Informatics, 2022

Feature Aggregation and Propagation Network for Camouflaged Object Detection.

Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang

IEEE Trans. Image Process., 2022

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis.

Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen

CoRR, 2022

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis.

Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning.

Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao

IEEE Trans. Medical Imaging, 2021

A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability.

Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao

IEEE Trans. Medical Imaging, 2021

Visual-Textual Attentive Semantic Consistency for Medical Report Generation.

Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis.

Yi Zhou, Lei Huang, Tao Zhou, Ling Shao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Specificity-preserving RGB-D Saliency Detection.

Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Group Whitening: Balancing Learning Efficiency and Representational Capacity.

Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification.

Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

IEEE Trans. Medical Imaging, 2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans.

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

CoRR, 2020

An Investigation Into the Stochasticity of Batch Whitening.

Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Motion-Attentive Transition for Zero-Shot Video Object Segmentation.

Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images.

Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao

CoRR, 2019

High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions.

Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning.

Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.

Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling.

Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Iterative Normalization: Beyond Standardization Towards Efficient Whitening.

Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep visual feature learning for vehicle detection, recognition and re-identification.

Yi Zhou

PhD thesis, 2018

Fast Automatic Vehicle Annotation for Urban Traffic Surveillance.

Yi Zhou, Li Liu, Ling Shao, Matt Mellor

IEEE Trans. Intell. Transp. Syst., 2018

Vehicle Re-Identification by Deep Hidden Multi-View Inference.

Yi Zhou, Li Liu, Ling Shao

IEEE Trans. Image Process., 2018

Deep Action Parsing in Videos With Large-Scale Synthesized Data.

Li Liu, Yi Zhou, Ling Shao

IEEE Trans. Image Process., 2018

Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network.

Yi Zhou, Ling Shao

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification.

Yi Zhou, Ling Shao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

DAP3D-Net: Where, what and how actions occur in videos?

Li Liu, Yi Zhou, Ling Shao

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Cross-View GAN Based Vehicle Generation for Re-identification.

Yi Zhou, Ling Shao

Proceedings of the British Machine Vision Conference 2017, 2017

2016

DAVE: A Unified Framework for Fast Vehicle Detection and Annotation.

Yi Zhou, Li Liu, Ling Shao, Matt Mellor

Proceedings of the Computer Vision - ECCV 2016, 2016