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Identifying socioeconomic exposure patterns and hotspots of global tropical cyclones from 1990 to 2019

Climate services, 2024-04, Vol.34, p.100494, Article 100494

2024

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GPS-supported visual SLAM with a rigorous sensor model for a panoramic camera in outdoor environments

Sensors (Basel, Switzerland), 2013-01, Vol.13 (1), p.119-136

2013

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A Weakly Supervised Approach for Disease Segmentation of Maize Northern Leaf Blight from UAV Images

Drones (Basel), 2023-03, Vol.7 (3), p.173

2023

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Fusion of a panoramic camera and 2D laser scanner data for constrained bundle adjustment in GPS-denied environments

Image and vision computing, 2015-08, Vol.40, p.28-37

2015

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Comparison of Two Panoramic Sensor Models for Precise 3D Measurements

Photogrammetric engineering and remote sensing, 2014-03, Vol.80 (3), p.229-238

2014

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Seismic Vulnerability Assessment in Ranau, Sabah, Using Two Different Models

ISPRS international journal of geo-information, 2021, Vol.10 (5), p.271

2021

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A Survey of Visual Transformers

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7478-7498

2024

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Facial Motion Prior Networks for Facial Expression Recognition

2019 IEEE Visual Communications and Image Processing (VCIP), 2019, p.1-4

2019

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Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.13981-13990

2020

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Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation

Computer methods and programs in biomedicine, 2021-04, Vol.202, p.106004-106004, Article 106004

2021

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Finer Classification of Crops by Fusing UAV Images and Sentinel-2A Data

Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (24), p.3012

2019

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Balanced masking strategy for multi-label image classification

Neurocomputing (Amsterdam), 2023-02, Vol.522, p.64-72

2023

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EdgeFormer: Edge-Aware Efficient Transformer for Image Super-Resolution

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-12

2024

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Decoupled pyramid correlation network for liver tumor segmentation from CT images

Medical physics (Lancaster), 2022-11, Vol.49 (11), p.7207-7221

2022

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Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation

IEEE transactions on multimedia, 2024, Vol.26, p.7210-7224

2024

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Graph Attention Transformer Network for Multi-label Image Classification

ACM transactions on multimedia computing communications and applications, 2023-03, Vol.19 (4), p.1-16, Article 150

2023

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Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet

Machine Learning in Medical Imaging, 2019, p.274-282

2019

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Double-Uncertainty Weighted Method for Semi-supervised Learning

Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020, Vol.12261, p.542-551

2020

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Trust it or not: Confidence-guided automatic radiology report generation

Neurocomputing (Amsterdam), 2024-04, Vol.578, p.127374, Article 127374

2024

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An improved GNSS tropospheric tomographic model with an extended region and combining virtual signals

Atmospheric research, 2023-05, Vol.287, p.106703, Article 106703

2023

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Modeling TEC Maps Over China Using Particle Swarm Optimization Neural Networks and Long‐Term Ground‐Based GPS, COSMIC, and Fengyun Data

Space Weather, 2023-04, Vol.21 (4), p.n/a

2023

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Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021, 2021, Vol.12901, p.589-599

2021

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AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.11-15

2021

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Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.1086-1090

2022

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Towards Automatic Diagnosis from Multi-modal Medical Data

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019, p.67-74

2019

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Identifying socioeconomic exposure patterns and hotspots of global tropical cyclones from 1990 to 2019

GPS-supported visual SLAM with a rigorous sensor model for a panoramic camera in outdoor environments

A Weakly Supervised Approach for Disease Segmentation of Maize Northern Leaf Blight from UAV Images

Fusion of a panoramic camera and 2D laser scanner data for constrained bundle adjustment in GPS-denied environments

Comparison of Two Panoramic Sensor Models for Precise 3D Measurements

Seismic Vulnerability Assessment in Ranau, Sabah, Using Two Different Models

A Survey of Visual Transformers

Facial Motion Prior Networks for Facial Expression Recognition

Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation

Finer Classification of Crops by Fusing UAV Images and Sentinel-2A Data

Balanced masking strategy for multi-label image classification

EdgeFormer: Edge-Aware Efficient Transformer for Image Super-Resolution

Decoupled pyramid correlation network for liver tumor segmentation from CT images

Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation

Graph Attention Transformer Network for Multi-label Image Classification

Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet

Double-Uncertainty Weighted Method for Semi-supervised Learning

Trust it or not: Confidence-guided automatic radiology report generation

An improved GNSS tropospheric tomographic model with an extended region and combining virtual signals

Modeling TEC Maps Over China Using Particle Swarm Optimization Neural Networks and Long‐Term Ground‐Based GPS, COSMIC, and Fengyun Data

Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation

AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation

Towards Automatic Diagnosis from Multi-modal Medical Data

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