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2020 – today
- 2024
- [j110]Lipeng Gu, Xuefeng Yan, Liangliang Nan, Dingkun Zhu, Honghua Chen, Weiming Wang, Mingqiang Wei:
PointeNet: A lightweight framework for effective and efficient point cloud analysis. Comput. Aided Geom. Des. 110: 102311 (2024) - [j109]Zikuan Li, Anyi Huang, Wenru Jia, Qiaoyun Wu, Mingqiang Wei, Jun Wang:
FSH3D: 3D Representation via Fibonacci Spherical Harmonics. Comput. Graph. Forum 43(7): i-xxii (2024) - [j108]Xinquan Wu, Xuefeng Yan, Donghai Guan, Mingqiang Wei:
A deep reinforcement learning model for dynamic job-shop scheduling problem with uncertain processing time. Eng. Appl. Artif. Intell. 131: 107790 (2024) - [j107]Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen:
PIE: Physics-Inspired Low-Light Enhancement. Int. J. Comput. Vis. 132(9): 3911-3932 (2024) - [j106]Dengxin Chen, Cheng Huang, Mingqiang Wei:
Shale Gas Production Prediction Based on PCA-PSO-LSTM Combination Model. J. Circuits Syst. Comput. 33(10) (2024) - [j105]Zeyong Wei, Honghua Chen, Liangliang Nan, Jun Wang, Jing Qin, Mingqiang Wei:
PathNet: Path-Selective Point Cloud Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4426-4442 (2024) - [j104]Mingfan Li, Minglei Li, Li Xu, Mingqiang Wei:
Hybrid 3D Reconstruction of Indoor Scenes Integrating Object Recognition. Remote. Sens. 16(4): 638 (2024) - [j103]Yuan Zhang, Chenghan Pu, Yu Qi, Jianping Yang, Xiang Wu, Muyuan Niu, Mingqiang Wei:
CDTracker: Coarse-to-Fine Feature Matching and Point Densification for 3D Single-Object Tracking. Remote. Sens. 16(13): 2322 (2024) - [j102]Peng Li, Peng Wu, Xuefeng Yan, Honghua Chen, Mingqiang Wei:
GeoDC: Geometry-Constrained Depth Completion With Depth Distribution Modeling. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j101]Zikuan Li, Kaijun Zhang, Zhoutao Wang, Sibo Wu, Xiao-Ping Zhang, Mingqiang Wei, Jun Wang:
FlyCore: Fast Low-Frequency Coarse Registration of Large-Scale Outdoor LiDAR Point Clouds. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j100]Yongbo Ma, Donghai Guan, Yuwen Deng, Weiwei Yuan, Mingqiang Wei:
3SD-Net: SAR Small Ship Detection Neural Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j99]Zeyong Wei, Baian Chen, Weiming Wang, Honghua Chen, Mingqiang Wei, Jonathan Li:
Point Transformer-Based Salient Object Detection Network for 3-D Measurement Point Clouds. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j98]Cheng Yi, Zeyong Wei, Jingbo Qiu, Honghua Chen, Jun Wang, Mingqiang Wei:
PN-Internet: Point-and-Normal Interactive Network for Noisy Point Clouds. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j97]Chengyu Zheng, Mengjiao Ma, Zhilei Chen, Honghua Chen, Weiming Wang, Mingqiang Wei:
RegiFormer: Unsupervised Point Cloud Registration via Geometric Local-to-Global Transformer and Self-Augmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j96]Yihua Fan, Yongzhen Wang, Dong Liang, Yiping Chen, Haoran Xie, Fu Lee Wang, Jonathan Li, Mingqiang Wei:
Low-FaceNet: Face Recognition-Driven Low-Light Image Enhancement. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j95]Wenyin Tao, Xuefeng Yan, Yongzhen Wang, Mingqiang Wei:
MFFDNet: Single Image Deraining via Dual-Channel Mixed Feature Fusion. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j94]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Xiaoping Zhang, Jing Qin, Mingqiang Wei:
UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning. IEEE Trans. Image Process. 33: 1361-1374 (2024) - [j93]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Jing Qin, Mingqiang Wei:
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 18:1-18:21 (2024) - [j92]Honghua Chen, Zhiqi Li, Mingqiang Wei, Jun Wang:
Geometric and Learning-Based Mesh Denoising: A Comprehensive Survey. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 85:1-85:28 (2024) - [j91]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Jun Wang, Mingqiang Wei, Jing Qin:
CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion. IEEE Trans. Vis. Comput. Graph. 30(7): 3545-3563 (2024) - [j90]Changfeng Ma, Yang Yang, Jie Guo, Mingqiang Wei, Chongjun Wang, Yanwen Guo, Wenping Wang:
Collaborative Completion and Segmentation for Partial Point Clouds With Outliers. IEEE Trans. Vis. Comput. Graph. 30(9): 6118-6129 (2024) - [j89]Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jing Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. IEEE Trans. Vis. Comput. Graph. 30(9): 6291-6308 (2024) - [j88]Chen Chen, Yisen Wang, Honghua Chen, Xuefeng Yan, Dayong Ren, Yanwen Guo, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
GeoSegNet: point cloud semantic segmentation via geometric encoder-decoder modeling. Vis. Comput. 40(8): 5107-5121 (2024) - [j87]Dayong Ren, Jiawei Li, Zhengyi Wu, Jie Guo, Mingqiang Wei, Yanwen Guo:
MFFNet: multimodal feature fusion network for point cloud semantic segmentation. Vis. Comput. 40(8): 5155-5167 (2024) - [j86]Shengzhou Luo, Jingxing Xu, John Dingliana, Mingqiang Wei, Lu Han, Lewei He, Jiahui Pan:
Twinenet: coupling features for synthesizing volume rendered images via convolutional encoder-decoders and multilayer perceptrons. Vis. Comput. 40(10): 7201-7220 (2024) - [j85]Xianglin Guo, Mingqiang Wei:
Shape generation via learning an adaptive multimodal prior. Vis. Comput. 40(12): 9191-9205 (2024) - [c27]Xiaojuan Li, Xiao Liang, Yongqiang He, Huiqin Wang, Mingqiang Wei, Guoming Zhang:
Landslide Displacement Prediction Based on the Random Forest and Optimized Support Vector Regression. CAIBDA 2024: 18-22 - [c26]Yanwen Guo, Yuanqi Li, Dayong Ren, Xiaohong Zhang, Jiawei Li, Liang Pu, Changfeng Ma, Xiaoyu Zhan, Jie Guo, Mingqiang Wei, Yan Zhang, Piaopiao Yu, Shuangyu Yang, Donghao Ji, Huisheng Ye, Hao Sun, Yansong Liu, Yinuo Chen, Jiaqi Zhu, Hongyu Liu:
LiDAR-Net: A Real-Scanned 3D Point Cloud Dataset for Indoor Scenes. CVPR 2024: 21989-21999 - [c25]Ming Tong, Xuefeng Yan, Yongzhen Wang, Mingqiang Wei:
Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing. IJCNN 2024: 1-8 - [c24]Tianyue Sun, Lina Gong, Jingxuan Zhang, Mingqiang Wei:
An Empirical Study on the Characteristics of Connected Knowledge Subgraphs on Stack Overflow. QRS Companion 2024: 64-73 - [i61]Yihua Fan, Yongzhen Wang, Mingqiang Wei, Fu Lee Wang, Haoran Xie:
FriendNet: Detection-Friendly Dehazing Network. CoRR abs/2403.04443 (2024) - [i60]Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen:
PIE: Physics-inspired Low-light Enhancement. CoRR abs/2404.04586 (2024) - [i59]Jiamei Xiong, Xuefeng Yan, Yongzhen Wang, Wei Zhao, Xiaoping Zhang, Mingqiang Wei:
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing. CoRR abs/2405.09083 (2024) - [i58]Zikuan Li, Anyi Huang, Wenru Jia, Qiaoyun Wu, Mingqiang Wei, Jun Wang:
FSH: 3D Representation via Fibonacci Spherical Harmonics. CoRR abs/2406.08308 (2024) - [i57]Wuzhou Quan, Wei Zhao, Weiming Wang, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features. CoRR abs/2406.13445 (2024) - [i56]Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu:
Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? CoRR abs/2408.04863 (2024) - [i55]Lipeng Gu, Mingqiang Wei, Xuefeng Yan, Dingkun Zhu, Wei Zhao, Haoran Xie, Yong-Jin Liu:
YOLOO: You Only Learn from Others Once. CoRR abs/2409.00618 (2024) - [i54]Divine Joseph Appiah, Donghai Guan, Abdul Nasser Kasule, Mingqiang Wei:
WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning. CoRR abs/2410.04762 (2024) - [i53]Lina Gong, Qi Gao, Peng Li, Mingqiang Wei, Fei Wu:
Efficient Deep Learning Board: Training Feedback Is Not All You Need. CoRR abs/2410.14743 (2024) - [i52]Yu Qiao, Lina Gong, Yu Zhao, Yongwei Wang, Mingqiang Wei:
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks. CoRR abs/2410.19550 (2024) - 2023
- [j84]Yiyang Shen, Rongwei Yu, Ni Shu, Jing Qin, Mingqiang Wei:
HLA-HOD: Joint High-Low Adaptation for Object Detection in Hazy Weather Conditions. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j83]Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee, Mingqiang Wei:
Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations. Inf. Process. Manag. 60(2): 103209 (2023) - [j82]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 946-963 (2023) - [j81]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9374-9392 (2023) - [j80]Yun Liu, Xuefeng Yan, Zhiqi Li, Zhilei Chen, Zeyong Wei, Mingqiang Wei:
PointGame: Geometrically and Adaptively Masked Autoencoder on Point Clouds. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j79]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j78]Jiajia Dai, Xiaoxi Gong, Yida Li, Jun Wang, Mingqiang Wei:
Self-Supervised Deep Visual Odometry Based on Geometric Attention Model. IEEE Trans. Intell. Transp. Syst. 24(3): 3157-3166 (2023) - [j77]Qiqi Ding, Peng Li, Xuefeng Yan, Ding Shi, Luming Liang, Weiming Wang, Haoran Xie, Jonathan Li, Mingqiang Wei:
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset. IEEE Trans. Intell. Transp. Syst. 24(10): 10749-10759 (2023) - [j76]Yongzhen Wang, Jiamei Xiong, Xuefeng Yan, Mingqiang Wei:
USCFormer: Unified Transformer With Semantically Contrastive Learning for Image Dehazing. IEEE Trans. Intell. Transp. Syst. 24(10): 11321-11333 (2023) - [j75]Lina Gong, Jingxuan Zhang, Mingqiang Wei, Haoxiang Zhang, Zhiqiu Huang:
What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model Repositories. ACM Trans. Softw. Eng. Methodol. 32(3): 69:1-69:57 (2023) - [j74]Lina Gong, Haoxiang Zhang, Jingxuan Zhang, Mingqiang Wei, Zhiqiu Huang:
A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction. IEEE Trans. Software Eng. 49(4): 2440-2458 (2023) - [j73]Mingqiang Wei, Honghua Chen, Yingkui Zhang, Haoran Xie, Yanwen Guo, Jun Wang:
GeoDualCNN: Geometry-Supporting Dual Convolutional Neural Network for Noisy Point Clouds. IEEE Trans. Vis. Comput. Graph. 29(2): 1357-1370 (2023) - [j72]Peng Wu, Lipeng Gu, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Gary Cheng, Mingqiang Wei:
PV-RCNN++: semantical point-voxel feature interaction for 3D object detection. Vis. Comput. 39(6): 2425-2440 (2023) - [j71]Xin Kong, Shifeng Xia, Ningzhong Liu, Mingqiang Wei:
GADA-SegNet: gated attentive domain adaptation network for semantic segmentation of LiDAR point clouds. Vis. Comput. 39(6): 2471-2481 (2023) - [c23]Shanshan Li, Pan Gao, Xiaoyang Tan, Mingqiang Wei:
ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer. CVPR 2023: 9466-9475 - [c22]Zhaowei Chen, Peng Li, Zeyong Wei, Honghua Chen, Haoran Xie, Mingqiang Wei, Fu Lee Wang:
Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising. ICASSP 2023: 1-5 - [c21]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c20]Zhangying Weng, Peng Li, Xin Zhuang, Xuefeng Yan, Lina Gong, Haoran Xie, Mingqiang Wei:
ifUNet++: Iterative Feedback UNet++ for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c19]Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei:
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. ICCV 2023: 14462-14472 - [c18]Yongyuan Li, Xiuyuan Qin, Chao Liang, Mingqiang Wei:
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation Methods. PRCV (11) 2023: 89-103 - [i51]Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang:
RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. CoRR abs/2301.09430 (2023) - [i50]Xin Li, Mingqiang Wei, Songcan Chen:
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information. CoRR abs/2301.12744 (2023) - [i49]Shanshan Li, Pan Gao, Xiaoyang Tan, Mingqiang Wei:
ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer. CoRR abs/2302.14435 (2023) - [i48]Yun Liu, Xuefeng Yan, Zhilei Chen, Zhiqi Li, Zeyong Wei, Mingqiang Wei:
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point Clouds. CoRR abs/2303.13100 (2023) - [i47]Mingqiang Wei, Qian Sun, Haoran Xie, Dong Liang, Fu Lee Wang:
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval. CoRR abs/2303.14075 (2023) - [i46]Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei:
Joint Depth Estimation and Mixture of Rain Removal From a Single Image. CoRR abs/2303.17766 (2023) - [i45]Chengyu Zheng, Peng Li, Xiao-Ping Zhang, Xuequan Lu, Mingqiang Wei:
Don't worry about mistakes! Glass Segmentation Network via Mistake Correction. CoRR abs/2304.10825 (2023) - [i44]Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei:
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. CoRR abs/2307.08492 (2023) - [i43]Yongyuan Li, Xiuyuan Qin, Chao Liang, Mingqiang Wei:
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation Methods. CoRR abs/2309.07495 (2023) - [i42]Xin Li, Peng Li, Zeyong Wei, Zhe Zhu, Mingqiang Wei, Junhui Hou, Liangliang Nan, Jing Qin, Haoran Xie, Fu Lee Wang:
Cross-BERT for Point Cloud Pretraining. CoRR abs/2312.04891 (2023) - [i41]Lipeng Gu, Xuefeng Yan, Liangliang Nan, Dingkun Zhu, Honghua Chen, Weiming Wang, Mingqiang Wei:
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis. CoRR abs/2312.12743 (2023) - 2022
- [j70]Yingkui Zhang, Guibao Shen, Qiong Wang, Yinling Qian, Mingqiang Wei, Jing Qin:
GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural Networks. Comput. Aided Des. 144: 103154 (2022) - [j69]Xiaotong Jiang, Benlian Xu, Mingqiang Wei, Ke Wu, Siyuan Yang, Longgen Qian, Ningzhong Liu, Qingjin Peng:
C2F-3DToothSeg: Coarse-to-fine 3D tooth segmentation via intuitive single clicks. Comput. Graph. 102: 601-609 (2022) - [j68]Chengyu Zheng, Ding Shi, Xuefeng Yan, Dong Liang, Mingqiang Wei, Xin Yang, Yanwen Guo, Haoran Xie:
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection. Comput. Graph. Forum 41(1): 377-388 (2022) - [j67]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. Comput. Graph. Forum 41(7): 87-98 (2022) - [j66]Anyi Huang, Qian Xie, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang:
MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches. Comput. Graph. Forum 41(7): 109-119 (2022) - [j65]Fei Hu, Honghua Chen, Xuequan Lu, Zhe Zhu, Jun Wang, Weiming Wang, Fu Lee Wang, Mingqiang Wei:
SPCNet: Stepwise Point Cloud Completion Network. Comput. Graph. Forum 41(7): 153-164 (2022) - [j64]Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Contrastive Semantic-Guided Image Smoothing Network. Comput. Graph. Forum 41(7): 335-346 (2022) - [j63]Haoran Pan, Jun Zhou, Yuanpeng Liu, Xuequan Lu, Weiming Wang, Xuefeng Yan, Mingqiang Wei:
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation. Comput. Graph. Forum 41(7): 371-381 (2022) - [j62]Yiyang Shen, Yongzhen Wang, Mingqiang Wei, Honghua Chen, Haoran Xie, Gary Cheng, Fu Lee Wang:
Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal. Comput. Graph. Forum 41(7): 443-454 (2022) - [j61]Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning. Comput. Graph. Forum 41(7): 465-476 (2022) - [j60]Dayong Ren, Zhengyi Wu, Jiawei Li, Piaopiao Yu, Jie Guo, Mingqiang Wei, Yanwen Guo:
Point attention network for point cloud semantic segmentation. Sci. China Inf. Sci. 65(9): 1-14 (2022) - [j59]Honghua Chen, Zeyong Wei, Xianzhi Li, Yabin Xu, Mingqiang Wei, Jun Wang:
RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network. Int. J. Comput. Vis. 130(3): 615-629 (2022) - [j58]Dingkun Zhu, Chengyu Zheng, Weiming Wang, Haoran Xie, Gary Cheng, Fu Lee Wang, Mingqiang Wei:
Rapid fault extraction from seismic images via deep learning. J. Electronic Imaging 31(5) (2022) - [j57]Peng Li, Zhilei Chen, Haoran Xie, Mingqiang Wei, Fu Lee Wang, Gary Cheng:
Interactive nonlocal joint learning network for red, green, blue plus depth salient object detection. J. Electronic Imaging 31(6) (2022) - [j56]Xiaoxue Liu, Yiping Chen, Mingqiang Wei, Cheng Wang, Wesley Nunes Gonçalves, José Marcato Junior, Jonathan Li:
Building Instance Extraction Method Based on Improved Hybrid Task Cascade. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j55]Pan Gao, Mingqiang Wei:
Block size selection in rate-constrained geometry based point cloud compression. Multim. Tools Appl. 81(2): 2557-2575 (2022) - [j54]Tongda Yang, Weiming Wang, Gary Cheng, Mingqiang Wei, Haoran Xie, Fu Lee Wang:
FDDL-Net: frequency domain decomposition learning for speckle reduction in ultrasound images. Multim. Tools Appl. 81(29): 42769-42781 (2022) - [j53]Dingkun Zhu, Sen Deng, Weiming Wang, Gary Cheng, Mingqiang Wei, Fu Lee Wang, Haoran Xie:
HDRD-Net: High-resolution detail-recovering image deraining network. Multim. Tools Appl. 81(29): 42889-42906 (2022) - [j52]Zongqi Wei, Dong Liang, Dong Zhang, Liyan Zhang, Qixiang Geng, Mingqiang Wei, Huiyu Zhou:
Learning Calibrated-Guidance for Object Detection in Aerial Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2721-2733 (2022) - [j51]Honghua Chen, Yaoran Huang, Qian Xie, Yuanpeng Liu, Yuan Zhang, Mingqiang Wei, Jun Wang:
Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction. IEEE Trans Autom. Sci. Eng. 19(2): 1003-1016 (2022) - [j50]Dong Liang, Qixiang Geng, Zongqi Wei, Dmitry A. Vorontsov, Ekaterina L. Kim, Mingqiang Wei, Huiyu Zhou:
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j49]Yongzhen Wang, Xuefeng Yan, Hexiang Bao, Yiping Chen, Lina Gong, Mingqiang Wei, Jonathan Li:
Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j48]Dingkun Zhu, Honghua Chen, Weiming Wang, Haoran Xie, Gary Cheng, Mingqiang Wei, Jun Wang, Fu Lee Wang:
Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j47]Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin:
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 6396-6411 (2022) - [j46]Yongzhen Wang, Xuefeng Yan, Donghai Guan, Mingqiang Wei, Yiping Chen, Xiao-Ping Zhang, Jonathan Li:
Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN. IEEE Trans. Intell. Transp. Syst. 23(11): 20368-20382 (2022) - [j45]Yidan Feng, Sen Deng, Xuefeng Yan, Xin Yang, Mingqiang Wei, Ligang Liu:
Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7223-7236 (2022) - [j44]Zhoutao Wang, Qian Xie, Mingqiang Wei, Kun Long, Jun Wang:
Multi-feature Fusion VoteNet for 3D Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 6:1-6:17 (2022) - [c17]Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou:
Semantically Contrastive Learning for Low-Light Image Enhancement. AAAI 2022: 1555-1563 - [c16]Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin:
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection. AAAI 2022: 3608-3616 - [c15]Yiyang Shen, Yidan Feng, Weiming Wang, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal. ICASSP 2022: 3418-3422 - [c14]Yuwen Deng, Donghai Guan, Yanyu Chen, Weiwei Yuan, Jiemin Ji, Mingqiang Wei:
Sar-Shipnet: Sar-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-Resolution Feature Fusion. ICASSP 2022: 3973-3977 - [c13]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. ICRA 2022: 405-411 - [c12]Honghua Chen, Zeyong Wei, Yabin Xu, Mingqiang Wei, Jun Wang:
ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs. SIGGRAPH (Conference Paper Track) 2022: 29:1-29:9 - [i40]Fu Lee Wang, Yidan Feng, Haoran Xie, Gary Cheng, Mingqiang Wei:
When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters. CoRR abs/2203.00258 (2022) - [i39]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. CoRR abs/2203.02767 (2022) - [i38]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. CoRR abs/2203.12514 (2022) - [i37]Yuwen Deng, Donghai Guan, Yanyu Chen, Weiwei Yuan, Jiemin Ji, Mingqiang Wei:
SAR-ShipNet: SAR-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-resolution Feature Fusion. CoRR abs/2203.15480 (2022) - [i36]Zeyong Wei, Honghua Chen, Hao Tang, Qian Xie, Mingqiang Wei, Jun Wang:
Deep Algebraic Fitting for Multiple Circle Primitives Extraction from Raw Point Clouds. CoRR abs/2204.00920 (2022) - [i35]Yiyang Shen, Sen Deng, Wenhan Yang, Mingqiang Wei, Haoran Xie, Xiaoping Zhang, Jing Qin, Meng Wang:
Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning. CoRR abs/2204.02772 (2022) - [i34]Yiyang Shen, Yongzhen Wang, Mingqiang Wei, Honghua Chen, Haoran Xie, Gary Cheng, Fu Lee Wang:
Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal. CoRR abs/2204.13420 (2022) - [i33]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Mingqiang Wei, Jing Qin:
UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning. CoRR abs/2205.01871 (2022) - [i32]Dening Lu, Qian Xie, Mingqiang Wei, Linlin Xu, Jonathan Li:
Transformers in 3D Point Clouds: A Survey. CoRR abs/2205.07417 (2022) - [i31]Qiqi Ding, Peng Li, Xuefeng Yan, Ding Shi, Luming Liang, Weiming Wang, Haoran Xie, Jonathan Li, Mingqiang Wei:
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset. CoRR abs/2206.01381 (2022) - [i30]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. CoRR abs/2206.04665 (2022) - [i29]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Mingqiang Wei, Jing Qin:
Dynamic Message Propagation Network for RGB-D Salient Object Detection. CoRR abs/2206.09552 (2022) - [i28]Honghua Chen, Zeyong Wei, Yabin Xu, Mingqiang Wei, Jun Wang:
ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs. CoRR abs/2207.00826 (2022) - [i27]Chen Chen, Yisen Wang, Honghua Chen, Xuefeng Yan, Dayong Ren, Yanwen Guo, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling. CoRR abs/2207.06766 (2022) - [i26]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Mingqiang Wei, Jun Wang, Jing Qin:
CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion. CoRR abs/2208.00751 (2022) - [i25]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. CoRR abs/2208.02712 (2022) - [i24]Haoran Pan, Jun Zhou, Yuanpeng Liu, Xuequan Lu, Weiming Wang, Xuefeng Yan, Mingqiang Wei:
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation. CoRR abs/2208.08338 (2022) - [i23]Peng Wu, Lipeng Gu, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Gary Cheng, Mingqiang Wei:
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection. CoRR abs/2208.13414 (2022) - [i22]Anyi Huang, Qian Xie, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang:
MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches. CoRR abs/2208.14160 (2022) - [i21]Baian Chen, Liangliang Nan, Haoran Xie, Dening Lu, Fu Lee Wang, Mingqiang Wei:
3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning. CoRR abs/2208.14796 (2022) - [i20]Honghua Chen, Mingqiang Wei, Jun Wang:
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey. CoRR abs/2209.00841 (2022) - [i19]Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Contrastive Semantic-Guided Image Smoothing Network. CoRR abs/2209.00977 (2022) - [i18]Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning. CoRR abs/2209.01373 (2022) - [i17]Fei Hu, Honghua Chen, Xuequan Lu, Zhe Zhu, Jun Wang, Weiming Wang, Fu Lee Wang, Mingqiang Wei:
SPCNet: Stepwise Point Cloud Completion Network. CoRR abs/2209.01746 (2022) - [i16]Zhaowei Chen, Peng Li, Zeyong Wei, Honghua Chen, Haoran Xie, Mingqiang Wei, Fu Lee Wang:
GeoGCN: Geometric Dual-domain Graph Convolution Network for Point Cloud Denoising. CoRR abs/2210.15913 (2022) - [i15]Baian Chen, Lipeng Gu, Xin Zhuang, Yiyang Shen, Weiming Wang, Mingqiang Wei:
PSFormer: Point Transformer for 3D Salient Object Detection. CoRR abs/2210.15933 (2022) - [i14]Huajian Si, Zeyong Wei, Zhe Zhu, Honghua Chen, Dong Liang, Weiming Wang, Mingqiang Wei:
LBF: Learnable Bilateral Filter For Point Cloud Denoising. CoRR abs/2210.15950 (2022) - [i13]Ming Tong, Yongzhen Wang, Peng Cui, Xuefeng Yan, Mingqiang Wei:
Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing. CoRR abs/2210.16057 (2022) - [i12]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. CoRR abs/2210.16561 (2022) - [i11]Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jin Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. CoRR abs/2211.01664 (2022) - [i10]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection. CoRR abs/2211.09518 (2022) - 2021
- [j43]Naftaly Wambugu, Yiping Chen, Zhenlong Xiao, Mingqiang Wei, Saifullahi Aminu Bello, José Marcato Junior, Jonathan Li:
A hybrid deep convolutional neural network for accurate land cover classification. Int. J. Appl. Earth Obs. Geoinformation 103: 102515 (2021) - [j42]Naftaly Wambugu, Yiping Chen, Zhenlong Xiao, Kun Tan, Mingqiang Wei, Xiaoxue Liu, Jonathan Li:
Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review. Int. J. Appl. Earth Obs. Geoinformation 105: 102603 (2021) - [j41]Jiajia Dai, Mingqiang Wei, Qian Xie, Jun Wang:
Aircraft Seam Feature Extraction from 3D Raw Point Cloud via Hierarchical Multi-structure Fitting. Comput. Aided Des. 130: 102945 (2021) - [j40]Zhongping Ji, Xianfang Sun, Yu-Wei Zhang, Weiyin Ma, Mingqiang Wei:
Normal manipulation for bas-relief modeling. Graph. Model. 114: 101099 (2021) - [j39]Luming Liang, Seng Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional neural network with median layers for denoising salt-and-pepper contaminations. Neurocomputing 442: 26-35 (2021) - [j38]Meili Wang, Li Wang, Tao Jiang, Nan Xiang, Juncong Lin, Mingqiang Wei, Xiaosong Yang, Taku Komura, Jian J. Zhang:
Bas-relief modelling from enriched detail and geometry with deep normal transfer. Neurocomputing 453: 825-838 (2021) - [j37]Chong Liu, Yidan Feng, Cui Yang, Mingqiang Wei, Jun Wang:
Multi-scale selective image texture smoothing via intuitive single clicks. Signal Process. Image Commun. 97: 116357 (2021) - [j36]Dingkun Zhu, Yingkui Zhang, Zhiqi Li, Weiming Wang, Haoran Xie, Mingqiang Wei, Gary Cheng, Fu Lee Wang:
Cascaded Normal Filtering Neural Network for Geometry-Aware Mesh Denoising of Measurement Surfaces. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j35]Mingqiang Wei, Yidan Feng, Honghua Chen:
Selective Guidance Normal Filter for Geometric Texture Removal. IEEE Trans. Vis. Comput. Graph. 27(12): 4469-4482 (2021) - [c11]Dong Liang, Yun Du, Han Sun, Liyan Zhang, Ningzhong Liu, Mingqiang Wei:
Nlkd: Using Coarse Annotations For Semantic Segmentation Based on Knowledge Distillation. ICASSP 2021: 2335-2339 - [c10]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang:
VENet: Voting Enhancement Network for 3D Object Detection. ICCV 2021: 3692-3701 - [c9]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. ICCV 2021: 4945-4954 - [c8]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. IJCAI 2021: 650-656 - [c7]Guibao Shen, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. ACM Multimedia 2021: 5222-5230 - [c6]Yanchao Zhang, Xiangdong Li, Jingbo Qiu, Xiangping Zhai, Mingqiang Wei:
GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection. NCAA 2021: 375-388 - [i9]Dong Liang, Zongqi Wei, Dong Zhang, Qixiang Geng, Liyan Zhang, Han Sun, Huiyu Zhou, Mingqiang Wei, Pan Gao:
Learning Calibrated-Guidance for Object Detection in Aerial Images. CoRR abs/2103.11399 (2021) - [i8]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. CoRR abs/2106.07941 (2021) - [i7]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. CoRR abs/2108.08035 (2021) - [i6]Chengyu Zheng, Ding Shi, Xuefeng Yan, Dong Liang, Mingqiang Wei, Xin Yang, Yanwen Guo, Haoran Xie:
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection. CoRR abs/2108.11117 (2021) - [i5]Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou:
Semantically Contrastive Learning for Low-light Image Enhancement. CoRR abs/2112.06451 (2021) - [i4]Dong Liang, Qixiang Geng, Zongqi Wei, Dmitry A. Vorontsov, Ekaterina L. Kim, Mingqiang Wei, Huiyu Zhou:
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images. CoRR abs/2112.06701 (2021) - 2020
- [j34]Yanjun Peng, Ming Chang, Qiong Wang, Yinling Qian, Yingkui Zhang, Mingqiang Wei, Xiangyun Liao:
Sparse-to-Dense Multi-Encoder Shape Completion of Unstructured Point Cloud. IEEE Access 8: 30969-30978 (2020) - [j33]Zhongping Ji, Qiankan Zhang, Mingqiang Wei:
Bas-Relief Modeling With Detail Preservation and Local Significance Enhancement. IEEE Access 8: 44190-44201 (2020) - [j32]Chong Liu, Cui Yang, Mingqiang Wei, Jun Wang:
Texture Smoothing Quality Assessment via Information Entropy. IEEE Access 8: 88410-88421 (2020) - [j31]Zhiqi Li, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng:
NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020) - [j30]Mingqiang Wei, Zhan Song, Y. Nie, Jianhuang Wu, Zhongping Ji, Yanwen Guo, Haoran Xie, Jun Wang, Fu Lee Wang:
Normal-Based Bas-Relief Modelling via Near-Lighting Photometric Stereo. Comput. Graph. Forum 39(1): 204-219 (2020) - [j29]Honghua Chen, Mingqiang Wei, Yangxing Sun, Xingyu Xie, Jun Wang:
Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint. IEEE Trans. Vis. Comput. Graph. 26(11): 3255-3270 (2020) - [c5]Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang:
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud. CVPR 2020: 13235-13244 - [c4]Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang:
Detail-recovery Image Deraining via Context Aggregation Networks. CVPR 2020: 14548-14557 - [i3]Yiyang Shen, Yidan Feng, Sen Deng, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images. CoRR abs/2005.10582 (2020)
2010 – 2019
- 2019
- [j28]Jun Wang, Jin Huang, Fu Lee Wang, Mingqiang Wei, Haoran Xie, Jing Qin:
Data-driven Geometry-recovering Mesh Denoising. Comput. Aided Des. 114: 133-142 (2019) - [j27]Cheng Yi, Dening Lu, Qian Xie, Shuya Liu, Hu Li, Mingqiang Wei, Jun Wang:
Hierarchical tunnel modeling from 3D raw LiDAR point cloud. Comput. Aided Des. 114: 143-154 (2019) - [j26]Honghua Chen, Jin Huang, Oussama Remil, Haoran Xie, Jing Qin, Yanwen Guo, Mingqiang Wei, Jun Wang:
Structure-guided shape-preserving mesh texture smoothing via joint low-rank matrix recovery. Comput. Aided Des. 115: 122-134 (2019) - [j25]Yu-Wei Zhang, Jing Wu, Zhongping Ji, Mingqiang Wei, Caiming Zhang:
Computer-assisted Relief Modelling: A Comprehensive Survey. Comput. Graph. Forum 38(2): 521-534 (2019) - [j24]Mingqiang Wei, X. Guo, J. Huang, Haoran Xie, Hua Zong, R. Kwan, Fu Lee Wang, Jing Qin:
Mesh Defiltering via Cascaded Geometry Recovery. Comput. Graph. Forum 38(7): 591-605 (2019) - [j23]Yangxing Sun, Honghua Chen, Jing Qin, Hongwei Li, Mingqiang Wei, Hua Zong:
Reliable Rolling-guided Point Normal Filtering for Surface Texture Removal. Comput. Graph. Forum 38(7): 721-732 (2019) - [j22]Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang:
Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. 93: 55-67 (2019) - [j21]Mingqiang Wei, Yang Tian, Wai-Man Pang, Charlie C. L. Wang, Ming-Yong Pang, Jun Wang, Jing Qin, Pheng-Ann Heng:
Bas-Relief Modeling from Normal Layers. IEEE Trans. Vis. Comput. Graph. 25(4): 1651-1665 (2019) - [j20]Mingqiang Wei, Jin Huang, Xingyu Xie, Ligang Liu, Jun Wang, Jing Qin:
Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery. IEEE Trans. Vis. Comput. Graph. 25(10): 2910-2926 (2019) - [j19]Jidong Wang, Jiajia Dai, Kin-Sum Li, Jun Wang, Mingqiang Wei, Mingyong Pang:
Cost-effective printing of 3D objects with self-supporting property. Vis. Comput. 35(5): 639-651 (2019) - [c3]Wuyuan Xie, Miaohui Wang, Mingqiang Wei, Jianmin Jiang, Jing Qin:
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach. CVPR 2019: 5328-5336 - [i2]Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. CoRR abs/1908.06452 (2019) - [i1]Sen Deng, Mingqiang Wei, Jun Wang, Luming Liang, Haoran Xie, Meng Wang:
DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks. CoRR abs/1908.10267 (2019) - 2018
- [j18]Cheng Yi, Hongwen Xing, Qiaoyun Wu, Yuan Zhang, Mingqiang Wei, Bo Wang, Laishui Zhou:
Automatic Detection of Cross-Shaped Targets for Laser Scan Registration. IEEE Access 6: 8483-8500 (2018) - [j17]Mingqiang Wei, Qiong Wang, Yichen Li, Wai-Man Pang, Luming Liang, Jun Wang, Kelvin Kian Loong Wong, Derek Abbott, Jing Qin, Jianhuang Wu:
Centerline Extraction of Vasculature Mesh. IEEE Access 6: 10257-10268 (2018) - [j16]Jun Wang, Qiaoyun Wu, Oussama Remil, Cheng Yi, Yanwen Guo, Mingqiang Wei:
Modeling indoor scenes with repetitions from 3D raw point data. Comput. Aided Des. 94: 1-15 (2018) - [j15]Mingqiang Wei, Yidan Feng, Weiming Wang, Haoran Xie, Fu Lee Wang:
基于区间梯度的联合双边滤波图像纹理去除方法 (Interval Gradient Based Joint Bilateral Filtering for Image Texture Removal). 计算机科学 45(3): 29-34 (2018) - [j14]Qian Xie, Oussama Remil, Yanwen Guo, Meng Wang, Mingqiang Wei, Jun Wang:
Object Detection and Tracking Under Occlusion for Object-Level RGB-D Video Segmentation. IEEE Trans. Multim. 20(3): 580-592 (2018) - 2017
- [j13]Cheng Yi, Yuan Zhang, Qiaoyun Wu, Yabin Xu, Oussama Remil, Mingqiang Wei, Jun Wang:
Urban building reconstruction from raw LiDAR point data. Comput. Aided Des. 93: 1-14 (2017) - [j12]Mingqiang Wei, Luming Liang, Wai-Man Pang, Jun Wang, Weishi Li, Huisi Wu:
Tensor Voting Guided Mesh Denoising. IEEE Trans Autom. Sci. Eng. 14(2): 931-945 (2017) - 2016
- [j11]Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, Pheng-Ann Heng:
Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing. Comput. Graph. Forum 35(7): 217-226 (2016) - [j10]Jun Wang, Yabin Xu, Oussama Remil, Xingyu Xie, Nan Ye, Cheng Yi, Mingqiang Wei:
Automatic Modeling of Urban Facades from Raw LiDAR Point Data. Comput. Graph. Forum 35(7): 269-278 (2016) - [j9]Luming Liang, Mingqiang Wei, Andrzej Szymczak, Wai-Man Pang, Meng Wang:
Spin Contour. IEEE Trans. Multim. 18(11): 2282-2292 (2016) - 2015
- [j8]Mingqiang Wei, Lei Zhu, Jinze Yu, Jun Wang, Wai-Man Pang, Jianhuang Wu, Jing Qin, Pheng-Ann Heng:
Morphology-preserving smoothing on polygonized isosurfaces of inhomogeneous binary volumes. Comput. Aided Des. 58: 92-98 (2015) - [j7]Luming Liang, Andrzej Szymczak, Mingqiang Wei:
Geodesic spin contour for partial near-isometric matching. Comput. Graph. 46: 156-171 (2015) - [j6]Haoyu Wang, Jianhuang Wu, Mingqiang Wei, Xin Ma:
A robust and fast approach to simulating the behavior of guidewire in vascular interventional radiology. Comput. Medical Imaging Graph. 40: 160-169 (2015) - [j5]Mingqiang Wei, Jinze Yu, Wai-Man Pang, Jun Wang, Jing Qin, Ligang Liu, Pheng-Ann Heng:
Bi-Normal Filtering for Mesh Denoising. IEEE Trans. Vis. Comput. Graph. 21(1): 43-55 (2015) - 2014
- [j4]Jun Wang, Zeyun Yu, Weizhong Zhang, Mingqiang Wei, Changbai Tan, Ning Dai, Xi Zhang:
Robust reconstruction of 2D curves from scattered noisy point data. Comput. Aided Des. 50: 27-40 (2014) - 2013
- [j3]Lei Zhu, Mingqiang Wei, Jinze Yu, Weiming Wang, Jing Qin, Pheng-Ann Heng:
Coarse-to-Fine Normal Filtering for Feature-Preserving Mesh Denoising Based on Isotropic Subneighborhoods. Comput. Graph. Forum 32(7): 371-380 (2013) - 2012
- [j2]Sen Wang, Jianhuang Wu, Mingqiang Wei, Xin Ma:
Robust curve skeleton extraction for vascular structures. Graph. Model. 74(4): 109-120 (2012) - [j1]Yichen Li, Mingqiang Wei, Jianhuang Wu, Mingyong Pang:
Error-Controllable Simplification of Point Cloud. Trans. Comput. Sci. 16: 149-162 (2012) - 2011
- [c2]Mingqiang Wei, Yichen Li, Jianhuang Wu, Mingyong Pang:
ESimp: Error-Controllable Simplification with Feature Preservation for Surface Reconstruction. CW 2011: 77-84 - 2010
- [c1]Mingqiang Wei, Ming-Yong Pang, Zhi-Geng Pan:
Optimizing Triangulation of Implicit Surface Based on Quadric Error Metrics. CW 2010: 113-119
Coauthor Index
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