0 | 2017 | Charles, R. Qi; Su, Hao; Kaichun, Mo; Guibas, Leonidas J. | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | |
1 | 2017 | Qi, Charles Ruizhongtai; Yi, Li; Su, Hao; Guibas, Leonidas J | PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | |
14 | 2017 | Engelmann, Francis; Kontogianni, Theodora; Hermans, Alexander; Leibe, Bastian | Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds | |
28 | 2018 | Hermosilla, Pedro; Ritschel, Tobias; Vázquez, Pere-Pau; Vinacua, Àlvar; Ropinski, Timo | Monte carlo convolution for learning on non-uniformly sampled point clouds | |
27 | 2018 | Atzmon, Matan; Maron, Haggai; Lipman, Yaron | Point convolutional neural networks by extension operators | |
31 | 2018 | Shen, Yiru; Feng, Chen; Yang, Yaoqing; Tian, Dong | Mining point cloud local structures by kernel correlation and graph pooling | |
32 | 2018 | Wang, Shenlong; Suo, Simon; Ma, Wei-Chiu; Pokrovsky, Andrei; Urtasun, Raquel | Deep parametric continuous convolutional neural networks | |
33 | 2018 | Groh, Fabian; Wieschollek, Patrick; Lensch, Hendrik P. A. | Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds) | |
23 | 2018 | Li, Yangyan; Bu, Rui; Sun, Mingchao; Wu, Wei; Di, Xinhan; Chen, Baoquan | PointCNN: Convolution On X-Transformed Points | |
34 | 2018 | Li, Jiaxin; Chen, Ben M.; Lee, Gim Hee | So-net: Self-organizing network for point cloud analysis | |
35 | 2018 | Xie, Saining; Liu, Sainan; Chen, Zeyu; Tu, Zhuowen | Attentional shapecontextnet for point cloud recognition | |
36 | 2018 | Rethage, Dario; Wald, Johanna; Sturm, Jurgen; Navab, Nassir; Tombari, Federico | Fully-convolutional point networks for large-scale point clouds | |
29 | 2018 | Hua, Binh-Son; Tran, Minh-Khoi; Yeung, Sai-Kit | Pointwise convolutional neural networks | |
30 | 2018 | Xu, Yifan; Fan, Tianqi; Xu, Mingye; Zeng, Long; Qiao, Yu | Spidercnn: Deep learning on point sets with parameterized convolutional filters | |
125 | 2018 | Huang, Qiangui; Wang, Weiyue; Neumann, Ulrich | Recurrent Slice Networks for 3D Segmentation of Point Clouds | |
6 | 2018 | Ye, Xiaoqing; Li, Jiamao; Huang, Hexiao; Du, Liang; Zhang, Xiaolin | 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation | |
58 | 2018 | Jiang, Mingyang; Wu, Yiran; Zhao, Tianqi; Zhao, Zelin; Lu, Cewu | Pointsift: A sift-like network module for 3d point cloud semantic segmentation | |
131 | 2018 | Ma, Yanxin; Guo, Yulan; Lei, Yinjie; Lu, Min; Zhang, Jun | 3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation | |
71 | 2019 | Komarichev, Artem; Zhong, Zichun; Hua, Jing | A-CNN: Annularly Convolutional Neural Networks on Point Clouds | |
86 | 2019 | Kong, Xin; Zhai, Guangyao; Zhong, Baoquan; Liu, Yong | PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud | |
87 | 2019 | Abdou, Mohammed; Elkhateeb, Mahmoud; Sobh, Ibrahim; Elsallab, Ahmad | End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving | |
62 | 2019 | Mao, Jiageng; Wang, Xiaogang; Li, Hongsheng | Interpolated Convolutional Networks for 3D Point Cloud Understanding | |
56 | 2019 | Pham, Quang-Hieu; Nguyen, Thanh; Hua, Binh-Son; Roig, Gemma; Yeung, Sai-Kit | Jsis3d: Joint semantic-instance segmentation of 3d point clouds with multi-task pointwise networks and multi-value conditional random fields | |
59 | 2019 | Zhao, Zongyue; Liu, Min; Ramani, Karthik | DAR-Net: Dynamic aggregation network for semantic scene segmentation | |
79 | 2019 | Kumar, Ashutosh; Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard | Feature relevance analysis for 3D point cloud classification using deep learning | |
38 | 2019 | Liu, Yongcheng; Fan, Bin; Xiang, Shiming; Pan, Chunhong | Relation-Shape Convolutional Neural Network for Point Cloud Analysis | |
39 | 2019 | Zhang, Zhiyuan; Hua, Binh-Son; Yeung, Sai-Kit | ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics | |
102 | 2019 | Liu, Xinhai; Han, Zhizhong; Liu, Yu-Shen; Zwicker, Matthias | Point2sequence: Learning the shape representation of 3d point clouds with an attention-based sequence to sequence network | |
57 | 2019 | Chen, Lin-Zhuo; Li, Xuan-Yi; Fan, Deng-Ping; Wang, Kai; Lu, Shao-Ping; Cheng, Ming-Ming | LSANet: Feature learning on point sets by local spatial aware layer | |
55 | 2019 | Liu, Xingyu; Yan, Mengyuan; Bohg, Jeannette | Meteornet: Deep learning on dynamic 3d point cloud sequences | |
41 | 2019 | Wang, Xinlong; Liu, Shu; Shen, Xiaoyong; Shen, Chunhua; Jia, Jiaya | Associatively Segmenting Instances and Semantics in Point Clouds | |
103 | 2019 | Malinverni, E. S.; Pierdicca, R.; Paolanti, M.; Martini, M.; Morbidoni, C.; Matrone, F.; Lingua, A. | DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD | |
75 | 2019 | Zhang, Zhiyuan; Hua, Binh-Son; Rosen, David W.; Yeung, Sai-Kit | Rotation Invariant Convolutions for 3D Point Clouds Deep Learning | |
107 | 2019 | Zhao, Hengshuang; Jiang, Li; Fu, Chi-Wing; Jia, Jiaya | PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing | |
106 | 2019 | Zhao, Chenxi; Zhou, Weihao; Lu, Li; Zhao, Qijun | Pooling Scores of Neighboring Points for Improved 3D Point Cloud Segmentation | |
21 | 2019 | Choy, Christopher; Gwak, JunYoung; Savarese, Silvio | 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks | |
2 | 2019 | Wu, Wenxuan; Qi, Zhongang; Fuxin, Li | PointConv: Deep Convolutional Networks on 3D Point Clouds | |
108 | 2019 | Lei, Huan; Akhtar, Naveed; Mian, Ajmal | Octree Guided CNN With Spherical Kernels for 3D Point Clouds | |
10 | 2019 | Engelmann, Francis; Kontogianni, Theodora; Schult, Jonas; Leibe, Bastian | Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds | |
17 | 2019 | Thomas, Hugues; Qi, Charles R.; Deschaud, Jean-Emmanuel; Marcotegui, Beatriz; Goulette, François; Guibas, Leonidas J. | KPConv: Flexible and Deformable Convolution for Point Clouds | |
26 | 2019 | Chen, Weikai; Han, Xiaoguang; Li, Guanbin; Chen, Chao; Xing, Jun; Zhao, Yajie; Li, Hao | Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions | |
133 | 2019 | Fan, Hehe; Yang, Yi | PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing | |
89 | 2020 | Wu, Guangnan; Pan, Zhiyi; Jiang, Peng; Tu, Changhe | Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds | |
88 | 2020 | Wong, Chi-Chong; Vong, Chi-Man | Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts | |
3 | 2020 | Heng Zhou, Zhijun Fang, Yongbin Gao, Bo Huang, Cengsi Zhong, Ruoxi Shang | Feature fusion network based on attention mechanism for 3D semantic segmentation of point clouds | |
85 | 2020 | Zhang, Jiazhao; Zhu, Chenyang; Zheng, Lintao; Xu, Kai | Fusion-aware point convolution for online semantic 3d scene segmentation | |
84 | 2020 | He, Tong; Gong, Dong; Tian, Zhi; Shen, Chunhua | Learning and memorizing representative prototypes for 3d point cloud semantic and instance segmentation | |
83 | 2020 | Engelmann, Francis; Kontogianni, Theodora; Leibe, Bastian | Dilated point convolutions: On the receptive field size of point convolutions on 3d point clouds | |
80 | 2020 | Fang, Yuan; Xu, Chunyan; Cui, Zhen; Zong, Yuan; Yang, Jian | Spatial Transformer Point Convolution | |
63 | 2020 | Liu, Ze; Hu, Han; Cao, Yue; Zhang, Zheng; Tong, Xin | A Closer Look at Local Aggregation Operators in Point Cloud Analysis | |
92 | 2020 | Cheng, Mingmei; Hui, Le; Xie, Jin; Yang, Jian; Kong, Hui | Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation | |
91 | 2020 | Wang, Guangming; Yang, Yehui; Zhang, Huixin; Liu, Zhe; Wang, Hesheng | Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds | |
50 | 2020 | Yan, Xu; Zheng, Chaoda; Li, Zhen; Wang, Sheng; Cui, Shuguang | Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling | |
15 | 2020 | Hu, Qingyong; Yang, Bo; Xie, Linhai; Rosa, Stefano; Guo, Yulan; Wang, Zhihua; Trigoni, Niki; Markham, Andrew | RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds | |
42 | 2020 | Wei, Jiacheng; Lin, Guosheng; Yap, Kim-Hui; Hung, Tzu-Yi; Xie, Lihua | Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds | |
43 | 2020 | Hu, Zeyu; Zhen, Mingmin; Bai, Xuyang; Fu, Hongbo; Tai, Chiew-lan | JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds | |
105 | 2021 | Liu, Hao; Guo, Yulan; Ma, Yanni; Lei, Yinjie; Wen, Gongjian | Semantic Context Encoding for Accurate 3D Point Cloud Segmentation | |
72 | 2021 | Boulch, Alexandre; Puy, Gilles; Marlet, Renaud | FKAConv: Feature-Kernel Alignment for Point Cloud Convolution | |
111 | 2021 | Engel, Nico; Belagiannis, Vasileios; Dietmayer, Klaus | Point Transformer Engel | |
45 | 2021 | Su, Yanfei; Liu, Weiquan; Yuan, Zhimin; Cheng, Ming; Zhang, Zhihong; Shen, Xuelun; Wang, Cheng | DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds | |
44 | 2021 | Xu, Mingye; Zhou, Zhipeng; Zhang, Junhao; Qiao, Yu | Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud | |
20 | 2021 | Zhao, Hengshuang; Jiang, Li; Jia, Jiaya; Torr, Philip H S; Koltun, Vladlen | Point Transformer Zhao | |
93 | 2021 | Lu, Tao; Wang, Limin; Wu, Gangshan | CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation | |
90 | 2021 | Yi, Li; Gong, Boqing; Funkhouser, Thomas | Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds | |
81 | 2021 | Qiu, Shi; Anwar, Saeed; Barnes, Nick | Dense-Resolution Network for Point Cloud Classification and Segmentation | |
16 | 2021 | Liu, Kangcheng; Gao, Zhi; Lin, Feng; Chen, Ben M. | FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling | |
18 | 2021 | Qiu, Shi; Anwar, Saeed; Barnes, Nick | Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion | |
19 | 2021 | Fan, Siqi; Dong, Qiulei; Zhu, Fenghua; Lv, Yisheng; Ye, Peijun; Wang, Fei-Yue | SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation | |
82 | 2021 | Yin, Chao; Wang, Boyu; Gan, Vincent J.L.; Wang, Mingzhu; Cheng, Jack C.P. | Automated semantic segmentation of industrial point clouds using ResPointNet++ | |
96 | 2022 | Chen, Minghong; Zhang, Guanghui; Shi, Wenjun; Zhu, Dongchen; Zhang, Xiaolin; Li, Jiamao | Dual-Neighborhood Feature Aggregation Network for Point Cloud Semantic Segmentation | |
94 | 2022 | Luo, Chuanyu; Li, Xiaohan; Cheng, Nuo; Li, Han; Lei, Shengguang; Li, Pu | MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds | |
132 | 2022 | Ma, Xu; Qin, Can; You, Haoxuan; Ran, Haoxi; Fu, Yun | Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework | |
97 | 2022 | Pan, Jieyun; Cao, Kun; Zhao, Bingxin; Li, Weihong; Zhang, Tianyang | Semantic Segmentation of Large-Scale Point Clouds by Encoder-Decoder Shared MLPs with Weighted Focal Loss | |
109 | 2022 | Du, C; Torres, M A Vega; Pan, Y; Borrmann, A | MV-KPConv: Multi-view KPConv For Enhanced 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Images | |
95 | 2022 | Li, Mengtian; Xie, Yuan; Shen, Yunhang; Ke, Bo; Qiao, Ruizhi; Ren, Bo; Lin, Shaohui; Ma, Lizhuang | HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization | |
104 | 2022 | Zheng, Yu; Xu, Xiuwei; Zhou, Jie; Lu, Jiwen | PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation | |
67 | 2022 | Xiangda Lei a, Haiyan Guan a, Lingfei Ma, Yongtao Yu, Zhen Dong, Kyle Gao, Mahmoud Reza Delavar, Jonathan Li | WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds | |
22 | 2022 | Wu, Xiaoyang; Lao, Yixing; Jiang, Li; Liu, Xihui; Zhao, Hengshuang | Point Transformer V2: Grouped Vector Attention and Partition-based Pooling | |
9 | 2022 | Miao, Zhiqing; Song, Shaojing; Tang, Pan; Chen, Jian; Hu, Jinyan; Gong, Yumei | MFFRand: Semantic Segmentation of Point Clouds Based on Multi-Scale Feature Fusion and Multi-Loss Supervision | |
48 | 2022 | Huang, Wenhua; Zhu, Lei; Wang, Wenwu | Semantic Segmentation for Point Cloud based on Distance Weighted and Adaptive Augmentation | |
51 | 2022 | Yaping Lin, George Vosselman, Michael Ying Yang | Weakly supervised semantic segmentation of airborne laser scanning point clouds | |
8 | 2022 | Su, Zhonghua; Zhou, Guiyun; Luo, Fulin; Li, Shihua; Ma, Kai-Kuang | Semantic Segmentation of 3D Point Clouds Based on High Precision Range Search Network | |
64 | 2022 | Qian, Guocheng; Li, Yuchen; Peng, Houwen; Mai, Jinjie; Hammoud, Hasan; Elhoseiny, Mohamed; Ghanem, Bernard | Pointnext: Revisiting pointnet++ with improved training and scaling strategies | |
12 | 2022 | Du, Shenglan; Ibrahimli, Nail; Stoter, Jantien; Kooij, Julian; Nan, Liangliang | Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds | |
4 | 2022 | Zhang, Ka; Ye, Longjie; Xiao, Wen; Sheng, Yehua; Zhang, Shan; Tao, Xia; Zhou, Yaqin | A Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation | |
69 | 2022 | Liao, Kuan-Yu; Xiao, You-Sheng; Fan, Yu-Cheng | 3D Point Cloud Semantic Segmentation System | |
7 | 2022 | Wysocki, O.; Grilli, E.; Hoegner, L.; Stilla, U. | COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION | |
5 | 2022 | Song, Yupeng; He, Fazhi; Duan, Yansong; Si, Tongzhen; Bai, Junwei | LSLPCT: An Enhanced Local Semantic Learning Transformer for 3D Point Cloud Analysis | |
68 | 2022 | Qi Chen, Zhenxin Zhang, Siyun Chen, Siyuan Wen, Hao Ma, Zhihua Xu | A self-attention based global feature enhancing network for semantic segmentation of large-scale urban street-level point clouds | |
129 | 2023 | Xue, Le; Gao, Mingfei; Xing, Chen; Martín-Martín, Roberto; Wu, Jiajun; Xiong, Caiming; Xu, Ran; Niebles, Juan Carlos; Savarese, Silvio | ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding | |
110 | 2023 | Shen, Shuo; Xia, Yan; Eich, Andreas; Xu, Yusheng; Yang, Bisheng; Stilla, Uwe | SegTrans: Semantic Segmentation with Transfer Learning for MLS Point Clouds | |
112 | 2023 | Artopoulos, Georgios; Maslioukova, Maria I.; Zavou, Christina; Loizou, Marios; Deligiorgi, Marissia; Averkiou, Melinos | An artificial neural network framework for classifying the style of cypriot hybrid examples of built heritage in 3D | |
113 | 2023 | Qiu, Shi | Learning Deep Feature Representations of 3D Point Cloud Data | |
114 | 2023 | Cheng, Ruting; Zeng, Hui; Zhang, Baoqing; Wang, Xuan; Zhao, Tianmeng | FFA-Net: fast feature aggregation network for 3D point cloud segmentation | |
115 | 2023 | Decker, Kevin T.; Borghetti, Brett J. | Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks | |
116 | 2023 | Wang, Haodong; Wang, Di | 3D Semantic Understanding of Large-Scale Urban Scenes from LiDAR Point Clouds | |
117 | 2023 | Sanchez, Jules; Deschaud, Jean-Emmanuel; Goulette, François | COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets | |
118 | 2023 | Li, Wei; Zhan, Lixin; Min, Weidong; Zou, Yi; Huang, Zheng; Wen, Chenglu | Semantic Segmentation of Point Cloud with Novel Neural Radiation Field Convolution | |
120 | 2023 | Jiang, Zhou; Yang, Jing; Xuan, Chunyu; Zhang, Dong; Du, Shaoyi | Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation | |
121 | 2023 | Xu, Zongyi; Yuan, Bo; Zhao, Shanshan; Zhang, Qianni; Gao, Xinbo | Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation | |
11 | 2023 | Wang, Shaofan; Liu, Ying; Wang, Lichun; Sun, Yanfeng; Yin, Baocai | PASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds | |
123 | 2023 | Wang, Yameng; Wan, Yi; Zhang, Yongjun; Zhang, Bin; Gao, Zhi | Imbalance knowledge-driven multi-modal network for land-cover semantic segmentation using aerial images and LiDAR point clouds | |
124 | 2023 | Yang, Yuwei; Hayat, Munawar; Jin, Zhao; Zhu, Hongyuan; Lei, Yinjie | Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis | |
130 | 2023 | Ballouch, Zouhair; Hajji, Rafika; Kharroubi, Abderrazzaq; Poux, Florent; Billen, Roland | 3D Point Cloud Enriched Semantic Segmentation through Knowledge-Enhanced Deep Learning Technique | |
126 | 2023 | Wielgosz, Maciej; Puliti, Stefano; Wilkes, Phil; Astrup, Rasmus | Point2Tree(P2T)—Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest | |
127 | 2023 | Hou, Xiangdan; Yang, Yuequn; Liu, Hongpu | Semantic Segmentation Network with Adaptive Neighborhood Construction for 3D Point Cloud | |
128 | 2023 | Nunes, Lucas; Wiesmann, Louis; Marcuzzi, Rodrigo; Chen, Xieyuanli; Behley, Jens; Stachniss, Cyrill | Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving | |
119 | 2023 | Saltori, Cristiano; Galasso, Fabio; Fiameni, Giuseppe; Sebe, Nicu; Poiesi, Fabio; Ricci, Elisa | Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation | |
122 | 2023 | Royen, Remco; Munteanu, Adrian | RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds | |
77 | 2023 | Qiu, Shoumeng; Jiang, Feng; Zhang, Haiqiang; Xue, Xiangyang; Pu, Jian | Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation | |
76 | 2023 | Xiao, Aoran; Huang, Jiaxing; Xuan, Weihao; Ren, Ruijie; Liu, Kangcheng; Guan, Dayan; Saddik, Abdulmotaleb El; Lu, Shijian; Xing, Eric | 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds | |
78 | 2023 | Therrien, Olivier; Amein, Marihan; Xiong, Zhuoran; Gross, Warren J.; Meyer, Brett H. | SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation | |
74 | 2023 | Yan, Siming; Yang, Yuqi; Guo, Yuxiao; Pan, Hao; Wang, Peng-shuai; Tong, Xin; Liu, Yang; Huang, Qixing | 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining | |
73 | 2023 | Loiseau, Romain; Vincent, Elliot; Aubry, Mathieu; Landrieu, Loic | Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans | |
70 | 2023 | Fan, Yu-Cheng; Liao, Kuan-Yu; Xiao, You-Sheng; Lu, Min-Hua; Yan, Wei-Zhe | 3D Point Cloud Semantic Segmentation System Based on Lightweight FPConv | |
134 | 2023 | Wu, Xiaoyang; Jiang, Li; Wang, Peng-Shuai; Liu, Zhijian; Liu, Xihui; Qiao, Yu; Ouyang, Wanli; He, Tong; Zhao, Hengshuang | Point Transformer V3: Simpler, Faster, Stronger | |
66 | 2023 | Zhang, Liting; Zhang, Kun | Semi-Supervised Semantic Segmentation Network for Point Clouds Based on 3D Shape | |
65 | 2023 | Cai, Kaiwen; Lu, Chris Xiaoxuan; Huang, Xiaowei | Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings | |
61 | 2023 | Zhao, Junhao; Huang, Weijie; Wu, Hai; Wen, Chenglu; Yang, Bo; Guo, Yulan; Wang, Cheng | SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds from Sparse Frame Annotations | |
60 | 2023 | Zeng, Ziyin; Hu, Qingyong; Xie, Zhong; Zhou, Jian; Xu, Yongyang | Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework | |
54 | 2023 | Chen, Min; Zhou, Chengyu; Lv, Qi; Zhu, Qing; Xu, Bo; Hu, Han; Ding, Yulin; Ge, Xuming; Chen, Jie; Guo, Xiaocui | A semantic segmentation method for vehicle-borne laser scanning point clouds in motorway scenes | |
53 | 2023 | Kashefi, Ali; Guibas, Leonidas J.; Mukerji, Tapan | Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity | |
52 | 2023 | Stearns, Colton; Liu, Jiateng; Rempe, Davis; Paschalidou, Despoina; Park, Jeong Joon; Mascha, Sebastien; Guibas, Leonidas J. | CurveCloudNet: Processing Point Clouds with 1D Structure | |
49 | 2023 | Mahmoudi Kouhi, Reza; Daniel, Sylvie; Giguère, Philippe | Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks | |
47 | 2023 | Huang, Zhuoxu; Zhao, Zhiyou; Li, Banghuai; Han, Jungong | LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers | |
46 | 2023 | Huang, Zhening; Wu, Xiaoyang; Zhao, Hengshuang; Zhu, Lei; Wang, Shujun; Hadjidemetriou, Georgios; Brilakis, Ioannis | GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue | |
98 | 2023 | Wang, Haosen; Zhou, Yuan; Chen, Tiankai; Qian, Feng; Ma, Yue; Wang, Shifeng; Lu, Bo | Lidar Point Semantic Segmentation Using Dual Attention Mechanism | |
99 | 2023 | Wang, Zhipeng; Geng, Yixuan; Jia, Limin; Qin, Yong; Chai, Yuanyuan; Tong, Lei; Liu, Keyan | Self-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways | |
100 | 2023 | Chen, Runnan; Liu, Youquan; Kong, Lingdong; Chen, Nenglun; Zhu, Xinge; Ma, Yuexin; Liu, Tongliang; Wang, Wenping | Towards Label-free Scene Understanding by Vision Foundation Models | |
101 | 2023 | Bi, Yuanwei; Zhang, Lujian; Liu, Yaowen; Huang, Yansen; Liu, Hao | A Local-Global Feature Fusing Method for Point Clouds Semantic Segmentation | |
40 | 2023 | Ngo, Tuan Duc; Hua, Binh-Son; Nguyen, Khoi | ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution | |
37 | 2023 | Yiqiang Zhao, Xingyi Ma, Bin Hu, Qi Zhang, Mao Ye, Guoqing Zhou | A large-scale point cloud semantic segmentation network via local dual features and global correlations | |
25 | 2023 | Yoo, Sunghwan; Jeong, Yeongjeong; Jameela, Maryam; Sohn, Gunho | MRNet: Multiple-Input Receptive Field Network for Large-Scale Point Cloud Segmentation | |
24 | 2023 | Puy, Gilles; Boulch, Alexandre; Marlet, Renaud | Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation | |
13 | 2023 | Haznedar, Bulent; Bayraktar, Rabia; Ozturk, Ali Emre; Arayici, Yusuf | Implementing PointNet for point cloud segmentation in the heritage context | |
135 | 2024 | Zeng, Ziyin; Qiu, Huan; Zhou, Jian; Dong, Zhen; Xiao, Jinsheng; Li, Bijun | PointNAT: Large-Scale Point Cloud Semantic Segmentation via Neighbor Aggregation With Transformer | |