Alert button
Picture for Zeng Zeng

Zeng Zeng

Alert button

Adaptive Mean-Residue Loss for Robust Facial Age Estimation

Mar 31, 2022
Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng

Figure 1 for Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Figure 2 for Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Figure 3 for Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Figure 4 for Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Viaarxiv icon

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

Mar 23, 2022
Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan

Figure 1 for MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Figure 2 for MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Figure 3 for MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Figure 4 for MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Viaarxiv icon

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading

Aug 15, 2021
Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li

Figure 1 for Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Figure 2 for Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Figure 3 for Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Figure 4 for Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Viaarxiv icon

Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation

Aug 15, 2021
Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce KH Chow

Figure 1 for Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Figure 2 for Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Figure 3 for Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Viaarxiv icon

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation

May 21, 2021
Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan

Figure 1 for Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Figure 2 for Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Figure 3 for Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Figure 4 for Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Viaarxiv icon

An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance

Mar 10, 2021
Chen Chai, Juanwu Lu, Xuan Jiang, Xiupeng Shi, Zeng Zeng

Figure 1 for An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
Figure 2 for An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
Figure 3 for An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
Figure 4 for An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
Viaarxiv icon

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

Jan 22, 2021
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan

Figure 1 for DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Figure 2 for DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Figure 3 for DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Figure 4 for DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Viaarxiv icon

Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning

Jan 19, 2021
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng

Figure 1 for Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
Figure 2 for Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
Figure 3 for Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
Figure 4 for Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
Viaarxiv icon

Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network

Jan 19, 2021
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng

Figure 1 for Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Figure 2 for Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Figure 3 for Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Figure 4 for Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Viaarxiv icon

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road

Nov 24, 2020
Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng

Figure 1 for Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
Figure 2 for Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
Figure 3 for Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
Figure 4 for Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
Viaarxiv icon