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2020 – today
- 2024
[c8]Xusheng Gu, Changjie Qiu, Xiuhong Lin, Xinjie Yang, Yu Zang, Cheng Wang:
DSTF: Dual-Stream Spatio-Temporal Fusion Network for Event-Based Data. PRCV (11) 2024: 111-125- 2023
- [j7]Changjie Qiu, Zhiyong Wang, Xiuhong Lin, Yu Zang, Cheng Wang
, Weiquan Liu:
DSMNet: Deep High-Precision 3-D Surface Modeling From Sparse Point Cloud Frames. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c7]Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang:
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning. NeurIPS 2023 - [i2]Changjie Qiu, Zhiyong Wang, Xiuhong Lin, Yu Zang, Cheng Wang, Weiquan Liu:
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames. CoRR abs/2304.04200 (2023) - [i1]Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang:
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning. CoRR abs/2311.18433 (2023) - 2022
- [j6]Xuesheng Bian, Xiongbiao Luo, Cheng Wang, Weiquan Liu, Xiuhong Lin:
DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation. Comput. Methods Programs Biomed. 213: 106531 (2022) - [j5]Xiuhong Lin, Chenhui Yang, Xuesheng Bian, Weiquan Liu, Cheng Wang:
EAGAN: Event-based attention generative adversarial networks for optical flow and depth estimation. IET Comput. Vis. 16(7): 581-595 (2022) - 2021
- [j4]Xuesheng Bian, Gang Li, Cheng Wang, Weiquan Liu, Xiuhong Lin, Zexin Chen, Mancheung Cheung, Xiongbiao Luo:
A deep learning model for detection and tracking in high-throughput images of organoid. Comput. Biol. Medicine 134: 104490 (2021) - [c6]Baiqi Lai, Weiquan Liu, Cheng Wang, Xuesheng Bian, Yanfei Su, Xiuhong Lin, Zhimin Yuan, Siqi Shen, Ming Cheng:
Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network. ICIG (3) 2021: 15-27 - [c5]Baiqi Lai, Weiquan Liu, Cheng Wang, Shuting Chen, Xuesheng Bian, Xiuhong Lin, Chenglu Wen, Jonathan Li:
Metric Learning for 2D Image Patch and 3D Point Cloud Volume Matching. IGARSS 2021: 3416-3419 - [c4]Xuesheng Bian, Gang Li, Cheng Wang, Siqi Shen, Weiquan Liu, Xiuhong Lin, Zexin Chen, Mancheung Cheung, Xióngbiao Luó:
OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening. ISBRA 2021: 411-423 - 2020
- [j3]Xuesheng Bian, Xiongbiao Luo, Cheng Wang, Weiquan Liu, Xiuhong Lin:
Optic disc and optic cup segmentation based on anatomy guided cascade network. Comput. Methods Programs Biomed. 197: 105717 (2020) - [j2]Weiquan Liu, Cheng Wang, Xuesheng Bian, Shuting Chen, Shangshu Yu, Xiuhong Lin, Shang-Hong Lai, Dongdong Weng, Jonathan Li:
Learning to Match Ground Camera Image and UAV 3-D Model-Rendered Image Based on Siamese Network With Attention Mechanism. IEEE Geosci. Remote. Sens. Lett. 17(9): 1608-1612 (2020) - [c3]Weiquan Liu, Baiqi Lai, Cheng Wang, Xuesheng Bian, Wentao Yang, Yan Xia, Xiuhong Lin, Shang-Hong Lai, Dongdong Weng, Jonathan Li:
Learning to Match 2D Images and 3D LiDAR Point Clouds for Outdoor Augmented Reality. VR Workshops 2020: 655-656
2010 – 2019
- 2019
- [j1]Weiquan Liu, Cheng Wang, Xuesheng Bian, Shuting Chen, Wei Li, Xiuhong Lin, Yongchuan Li, Dongdong Weng, Shang-Hong Lai, Jonathan Li:
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. Remote. Sens. 11(19): 2243 (2019) - [c2]Xuesheng Bian, Cheng Wang, Weiquan Liu, Xiuhong Lin:
Unsupervised Optic Disc Segmentation for Cross Domain Fundus Image Based on Structure Consistency Constraint. ICIG (1) 2019: 724-734 - [c1]Weiquan Liu, Cheng Wang, Yu Zang, Shang-Hong Lai, Dongdong Weng, Xuesheng Bian, Xiuhong Lin, Xuelun Shen, Jonathan Li:
Ground Camera Images and UAV 3D Model Registration for Outdoor Augmented Reality. VR 2019: 1050-1051
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