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Weiquan Liu
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2020 – today
- 2025
- [j32]Jia Liu, Jun Shao, Sen Xu, Zhiyong Tang, Weiquan Liu, Zeshuai Li, Tao Wang, Xuesheng Bian:
Asym-UNet: An asymmetric U-shape Network for breast lesions ultrasound images segmentation. Biomed. Signal Process. Control. 99: 106822 (2025) - 2024
- [j31]Hanlin Guo, Jing Zhao, Weiquan Liu, Disai Yang, Chengxian Zhou, Guangyi Lin, Shuyuan Lin:
Robust multi-model fitting via neighborhood graph structure consistency. Digit. Signal Process. 147: 104402 (2024) - [j30]Wankang Zeng, Ming Cheng, Zhimin Yuan, Wei Dai, Youming Wu, Weiquan Liu, Cheng Wang:
Domain adaptive remote sensing image semantic segmentation with prototype guidance. Neurocomputing 580: 127484 (2024) - [j29]Muhammad Kamran Afzal, Weiquan Liu, Yu Zang, Shuting Chen, Hafiz Muhammad Rehan Afzal, Jibril Muhammad Adam, Bai Yang, Jonathan Li, Cheng Wang:
GeoSparseNet: A Multi-Source Geometry-Aware CNN for Urban Scene Analysis. Remote. Sens. 16(11): 1827 (2024) - [j28]Shuting Chen, Yanfei Su, Baiqi Lai, Luwei Cai, Chengxi Hong, Li Li, Xiuliang Qiu, Hong Jia, Weiquan Liu:
2D3D-DescNet: Jointly Learning 2D and 3D Local Feature Descriptors for Cross-Dimensional Matching. Remote. Sens. 16(13): 2493 (2024) - [j27]Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Chenglu Wen, Ming Cheng, Ping Zhong, Cheng Wang:
SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(10): 14019-14030 (2024) - [c24]Zhimin Yuan, Wankang Zeng, Yanfei Su, Weiquan Liu, Ming Cheng, Yulan Guo, Cheng Wang:
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds. CVPR 2024: 23303-23312 - [i9]Zhimin Yuan, Wankang Zeng, Yanfei Su, Weiquan Liu, Ming Cheng, Yulan Guo, Cheng Wang:
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds. CoRR abs/2403.18469 (2024) - [i8]Siyu Chen, Ting Han, Changshe Zhang, Weiquan Liu, Jinhe Su, Zongyue Wang, Guorong Cai:
Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes. CoRR abs/2409.07995 (2024) - 2023
- [j26]Weiquan Liu, Yu Zang, Zhangyue Xiong, Xuesheng Bian, Chenglu Wen, Xiaolei Lu, Cheng Wang, José Marcato Junior, Wesley Nunes Gonçalves, Jonathan Li:
3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion. Int. J. Appl. Earth Obs. Geoinformation 116: 103171 (2023) - [j25]Jibril Muhammad Adam, Weiquan Liu, Yu Zang, Muhammad Kamran Afzal, Saifullahi Aminu Bello, Abdullahi Uwaisu Muhammad, Cheng Wang, Jonathan Li:
Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey. Int. J. Appl. Earth Obs. Geoinformation 121: 103365 (2023) - [j24]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) - [j23]Shijun Zheng, Weiquan Liu, Siqi Shen, Yu Zang, Chenglu Wen, Ming Cheng, Cheng Wang:
Adaptive local adversarial attacks on 3D point clouds. Pattern Recognit. 144: 109825 (2023) - [j22]Yanfei Su, Ming Cheng, Zhimin Yuan, Weiquan Liu, Wankang Zeng, Cheng Wang:
Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j21]Yanfei Su, Ming Cheng, Zhimin Yuan, Weiquan Liu, Wankang Zeng, Zhihong Zhang, Cheng Wang:
Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j20]Zhimin Yuan, Ming Cheng, Wankang Zeng, Yanfei Su, Weiquan Liu, Shangshu Yu, Cheng Wang:
Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j19]Yu Zang, Binjie Chen, Yunzhou Xia, Hanyun Guo, Yunuo Yang, Weiquan Liu, Cheng Wang, Jonathan Li:
LCE-NET: Contour Extraction for Large-Scale 3-D Point Clouds. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j18]Zhimin Yuan, Chenglu Wen, Ming Cheng, Yanfei Su, Weiquan Liu, Shangshu Yu, Cheng Wang:
Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 24(2): 1982-1993 (2023) - [c23]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 - [c22]Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang:
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2023 - [c21]Qian Hu, Xuelun Shen, Zijun Li, Weiquan Liu, Cheng Wang:
Feature Matching in the Changed Environments for Visual Localization. PRCV (11) 2023: 171-183 - [i7]Weiquan Liu, Shijun Zheng, Cheng Wang:
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality. CoRR abs/2303.06641 (2023) - [i6]Weiquan Liu, Minghao Liu, Shijun Zheng, Cheng Wang:
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network. CoRR abs/2303.06652 (2023) - [i5]Xuesheng Bian, Cheng Wang, Shuting Chen, Weiquan Liu, Sen Xu, Jinxin Zhu, Rugang Wang, Zexin Chen, Min Huang, Gang Li:
Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images. CoRR abs/2303.06796 (2023) - [i4]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) - [i3]Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang:
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. CoRR abs/2311.01753 (2023) - [i2]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
- [j17]Linwei Chen, Bowen Fang, Lei Zhao, Yu Zang, Weiquan Liu, Yiping Chen, Cheng Wang, Jonathan Li:
DeepUrbanDownscale: A physics informed deep learning framework for high-resolution urban surface temperature estimation via 3D point clouds. Int. J. Appl. Earth Obs. Geoinformation 106: 102650 (2022) - [j16]Baiqi Lai, Weiquan Liu, Cheng Wang, Xiaoliang Fan, Yangbin Lin, Xuesheng Bian, Shangbin Wu, Ming Cheng, Jonathan Li:
2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds. Appl. Intell. 52(12): 14178-14193 (2022) - [j15]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) - [j14]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) - [j13]Sajjad Roshandel, Weiquan Liu, Cheng Wang, Jonathan Li:
Semantic Segmentation of Coastal Zone on Airborne Lidar Bathymetry Point Clouds. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Yanfei Su, Weiquan Liu, Ming Cheng, Zhimin Yuan, Cheng Wang:
Local Fusion Attention Network for Semantic Segmentation of Building Facade Point Clouds. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j11]Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang:
DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds. Pattern Recognit. 123: 108372 (2022) - [j10]Donghang Wu, Weiquan Liu, Bowen Fang, Linwei Chen, Yu Zang, Lei Zhao, Shenlong Wang, Cheng Wang, José Marcato Junior, Jonathan Li:
Intracity Temperature Estimation by Physics Informed Neural Network Using Modeled Forcing Meteorology and Multispectral Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c20]Yongfei Shi, Wei Ye, Bo Qu, Hong Jia, Zhanying Fu, Xinming Lv, Chenglu Wen, Weiquan Liu:
3D Point Cloud and BIM Component Retrieval for Subway Stations via Deep Learning. CECNet 2022: 457-464 - [c19]Siqi Shen, Jun Liu, Mengwei Qiu, Weiquan Liu, Cheng Wang, Yongquan Fu, Qinglin Wang, Peng Qiao:
Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization. ICASSP 2022: 4108-4112 - [c18]Zhiyong Wang, Weiquan Liu, Chenglu Wen, Yongfei Shi, Xiaocheng Yan, Jinbin Tan, Cheng Wang, Jonathan Li:
A LiDAR-Based 3D Indoor Mapping Framework with Mismatch Detection and Optimization. IGARSS 2022: 7499-7502 - [c17]Weiquan Liu, Hanyun Guo, Weini Zhang, Yu Zang, Cheng Wang, Jonathan Li:
TopoSeg: Topology-aware Segmentation for Point Clouds. IJCAI 2022: 1201-1208 - [c16]Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang:
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2022 - 2021
- [j9]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) - [j8]Weiquan Liu, Cheng Wang, Shuting Chen, Xuesheng Bian, Baiqi Lai, Xuelun Shen, Ming Cheng, Shang-Hong Lai, Dongdong Weng, Jonathan Li:
Y-Net: Learning Domain Robust Feature Representation for ground camera image and large-scale image-based point cloud registration. Inf. Sci. 581: 655-677 (2021) - [j7]Sajjad Roshandel, Weiquan Liu, Cheng Wang, Jonathan Li:
3D Ocean Water Wave Surface Analysis on Airborne LiDAR Bathymetric Point Clouds. Remote. Sens. 13(19): 3918 (2021) - [j6]Weiquan Liu, Baiqi Lai, Cheng Wang, Guorong Cai, Yanfei Su, Xuesheng Bian, Yongchuan Li, Shuting Chen, Jonathan Li:
Ground Camera Image and Large-Scale 3-D Image-Based Point Cloud Registration Based on Learning Domain Invariant Feature Descriptors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 997-1009 (2021) - [c15]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 - [c14]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 - [c13]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 - [c12]Weiquan Liu, Baiqi Lai, Cheng Wang, Xuesheng Bian, Chenglu Wen, Ming Cheng, Yu Zang, Yan Xia, Jonathan Li:
Matching 2D Image Patches and 3D Point Cloud Volumes by Learning Local Cross-domain Feature Descriptors. VR Workshops 2021: 516-517 - [i1]Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang:
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds. CoRR abs/2106.00376 (2021) - 2020
- [j5]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) - [j4]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) - [c11]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
- [j3]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) - [j2]Yan Xia, Cheng Wang, Yusheng Xu, Yu Zang, Weiquan Liu, Jonathan Li, Uwe Stilla:
RealPoint3D: Generating 3D Point Clouds from a Single Image of Complex Scenarios. Remote. Sens. 11(22): 2644 (2019) - [c10]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 - [c9]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 - 2018
- [j1]Wei Li, Cheng Wang, Dawei Zai, Pengdi Huang, Weiquan Liu, Chenglu Wen, Jonathan Li:
A Volumetric Fusing Method for TLS and SFM Point Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(9): 3349-3357 (2018) - [c8]Xuelun Shen, Cheng Wang, Chenglu Wen, Weiquan Liu, Xiaotian Sun, Jonathan Li:
Discriminative Learning of Point Cloud Feature Descriptors Based on Siamese Network. IGARSS 2018: 4519-4522 - [c7]Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li:
H-Net: Neural Network for Cross-domain Image Patch Matching. IJCAI 2018: 856-863 - 2017
- [c6]Wei Li, Cheng Wang, Dawei Zai, Pengdi Huang, Weiquan Liu, Jonathan Li:
An efficiently volumetric fusing method for structure-frome-motion and terrestrial point cloud. IGARSS 2017: 6036-6039
2000 – 2009
- 2007
- [c5]Hans Uszkoreit, Feiyu Xu, Weiquan Liu:
Challenges and Solutions of Multilingual and Translingual Information Service Systems. HCI (4) 2007: 132-141 - [c4]Hans Uszkoreit, Feiyu Xu, Weiquan Liu, Jörg Steffen, Ilhan Aslan, Jin Liu, Christel Müller, Bernhard Holtkamp, Manfred Wojciechowski:
A Successful Field Test of a Mobile and Multilingual Information Service System COMPASS2008. HCI (4) 2007: 1047-1056 - 2001
- [c3]Weiquan Liu, Joe F. Zhou:
kNN vs. Linear Support Vector Machine in Event Tracking. NLPRS 2001: 281-288 - 2000
- [c2]Joe F. Zhou, Weiquan Liu:
A Real-time Integration Of Concept-based Search and Summarization of Chinese Websites. EMNLP 2000: 148-154 - [c1]Weiquan Liu, Joe F. Zhou:
Building A Chinese Text Summarizer with Phrasal Chunks and Domain Knowledge. ROCLING 2000
Coauthor Index
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