Xuesheng Bian

According to our database, Xuesheng Bian authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Low-Light Image Enhancement Algorithm Incorporating Cross-Mixed Attention and Receptive Field Expansion Mechanism.

Rongfeng Zhou, Ping Li, Mingyang Zhang, Qingyao Lin, Yuanyuan Wang, Xuesheng Bian, Feng Zhou, Rugang Wang

IEEE Access, 2024

Research on Optical Remote Sensing Image Target Detection Technique Based on DCH-YOLOv7 Algorithm.

Chunhui Cui, Rugang Wang, Yuanyuan Wang, Feng Zhou, Xuesheng Bian, Jun Chen

IEEE Access, 2024

2023

Structure-aware deep clustering network based on contrastive learning.

Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, Naixuan Guo, Xiufang Xu, Xiaopeng Hua

Neural Networks, October, 2023

3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion.

Weiquan Liu, Yu Zang, Zhangyue Xiong, Xuesheng Bian, Chenglu Wen, Xiaolei Lu, Cheng Wang, José Marcato Junior, Wesley Nunes Gonçalves, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, February, 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning.

Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang

CoRR, 2023

Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images.

Xuesheng Bian, Cheng Wang, Shuting Chen, Weiquan Liu, Sen Xu, Jinxin Zhu, Rugang Wang, Zexin Chen, Min Huang, Gang Li

CoRR, 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning.

Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

EAGAN: Event-based attention generative adversarial networks for optical flow and depth estimation.

Xiuhong Lin, Chenhui Yang, Xuesheng Bian, Weiquan Liu, Cheng Wang

IET Comput. Vis., 2022

DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation.

Xuesheng Bian, Xiongbiao Luo, Cheng Wang, Weiquan Liu, Xiuhong Lin

Comput. Methods Programs Biomed., 2022

2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds.

Baiqi Lai, Weiquan Liu, Cheng Wang, Xiaoliang Fan, Yangbin Lin, Xuesheng Bian, Shangbin Wu, Ming Cheng, Jonathan Li

Appl. Intell., 2022

2021

Ground Camera Image and Large-Scale 3-D Image-Based Point Cloud Registration Based on Learning Domain Invariant Feature Descriptors.

Weiquan Liu, Baiqi Lai, Cheng Wang, Guorong Cai, Yanfei Su, Xuesheng Bian, Yongchuan Li, Shuting Chen, Jonathan Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Y-Net: Learning Domain Robust Feature Representation for ground camera image and large-scale image-based point cloud registration.

Weiquan Liu, Cheng Wang, Shuting Chen, Xuesheng Bian, Baiqi Lai, Xuelun Shen, Ming Cheng, Shang-Hong Lai, Dongdong Weng, Jonathan Li

Inf. Sci., 2021

A deep learning model for detection and tracking in high-throughput images of organoid.

Xuesheng Bian, Gang Li, Cheng Wang, Weiquan Liu, Xiuhong Lin, Zexin Chen, Mancheung Cheung, Xiongbiao Luo

Comput. Biol. Medicine, 2021

Matching 2D Image Patches and 3D Point Cloud Volumes by Learning Local Cross-domain Feature Descriptors.

Weiquan Liu, Baiqi Lai, Cheng Wang, Xuesheng Bian, Chenglu Wen, Ming Cheng, Yu Zang, Yan Xia, Jonathan Li

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening.

Xuesheng Bian, Gang Li, Cheng Wang, Siqi Shen, Weiquan Liu, Xiuhong Lin, Zexin Chen, Mancheung Cheung, Xióngbiao Luó

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Metric Learning for 2D Image Patch and 3D Point Cloud Volume Matching.

Baiqi Lai, Weiquan Liu, Cheng Wang, Shuting Chen, Xuesheng Bian, Xiuhong Lin, Chenglu Wen, Jonathan Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network.

Baiqi Lai, Weiquan Liu, Cheng Wang, Xuesheng Bian, Yanfei Su, Xiuhong Lin, Zhimin Yuan, Siqi Shen, Ming Cheng

Proceedings of the Image and Graphics - 11th International Conference, 2021

2020

Learning to Match Ground Camera Image and UAV 3-D Model-Rendered Image Based on Siamese Network With Attention Mechanism.

Weiquan Liu, Cheng Wang, Xuesheng Bian, Shuting Chen, Shangshu Yu, Xiuhong Lin, Shang-Hong Lai, Dongdong Weng, Jonathan Li

IEEE Geosci. Remote. Sens. Lett., 2020

Optic disc and optic cup segmentation based on anatomy guided cascade network.

Xuesheng Bian, Xiongbiao Luo, Cheng Wang, Weiquan Liu, Xiuhong Lin

Comput. Methods Programs Biomed., 2020

Learning to Match 2D Images and 3D LiDAR Point Clouds for Outdoor Augmented Reality.

Weiquan Liu, Baiqi Lai, Cheng Wang, Xuesheng Bian, Wentao Yang, Yan Xia, Xiuhong Lin, Shang-Hong Lai, Dongdong Weng, Jonathan Li

Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

2019

AE-GAN-Net: Learning Invariant Feature Descriptor to Match Ground Camera Images and a Large-Scale 3D Image-Based Point Cloud for Outdoor Augmented Reality.

Weiquan Liu, Cheng Wang, Xuesheng Bian, Shuting Chen, Wei Li, Xiuhong Lin, Yongchuan Li, Dongdong Weng, Shang-Hong Lai, Jonathan Li

Remote. Sens., 2019

Ground Camera Images and UAV 3D Model Registration for Outdoor Augmented Reality.

Weiquan Liu, Cheng Wang, Yu Zang, Shang-Hong Lai, Dongdong Weng, Xuesheng Bian, Xiuhong Lin, Xuelun Shen, Jonathan Li

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Unsupervised Optic Disc Segmentation for Cross Domain Fundus Image Based on Structure Consistency Constraint.

Xuesheng Bian, Cheng Wang, Weiquan Liu, Xiuhong Lin

Proceedings of the Image and Graphics - 10th International Conference, 2019