2014-2020 point cloud论文整理
【Point Cloud】点云论文整理
本文转载地址：https://zhuanlan.zhihu.com/p/362198401
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SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints
会议：AAAI 2020. AAAI Technical Track: Machine Learning.
作者：Weikun Wu, Yan Zhang, David Wang, Yunqi Lei
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6113/5969 -
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
会议：AAAI 2020. AAAI Technical Track: Vision.
作者：Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6725/6579 -
Morphing and Sampling Network for Dense Point Cloud Completion
会议：AAAI 2020. AAAI Technical Track: Vision.
作者：Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6827/6681 -
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
会议：AAAI 2020. AAAI Technical Track: Vision.
作者：Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6837/6691 -
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
会议：AAAI 2020. AAAI Technical Track: Vision.
作者：Mingye Xu, Zhipeng Zhou, Yu Qiao
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6938/6792 -
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
会议：AAAI 2020. AAAI Technical Track: Vision.
作者：Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6972/6826 -
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
会议：AAAI 2020. AAAI Technical Track: Vision.
作者：Lin Zhao, Wenbing Tao
链接：https://aaai.org/ojs/index.php/AAAI/article/view/6994/6848 -
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data
会议：AAAI 2020. Student Abstract Track.
作者：Thomas Paniagua, John Lagergren, Greg Foderaro
链接：https://aaai.org/ojs/index.php/AAAI/article/view/7217/7071 -
A Hierarchical Graph Network for 3D Object Detection on Point Clouds
会议：CVPR 2020.
作者：Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_A_Hierarchical_Graph_Network_for_3D_Object_Detection_on_Point_CVPR_2020_paper.pdf -
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
会议：CVPR 2020.
作者：Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Qi_ImVoteNet_Boosting_3D_Object_Detection_in_Point_Clouds_With_Image_CVPR_2020_paper.pdf -
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
会议：CVPR 2020.
作者：Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, Zhenhua Wang
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Shi_SpSequenceNet_Semantic_Segmentation_Network_on_4D_Point_Clouds_CVPR_2020_paper.pdf -
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds
会议：CVPR 2020.
作者：Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Wei_Multi-Path_Region_Mining_for_Weakly_Supervised_3D_Semantic_Segmentation_on_CVPR_2020_paper.pdf -
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks
会议：CVPR 2020.
作者：Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhao_On_Isometry_Robustness_of_Deep_3D_Point_Cloud_Models_Under_CVPR_2020_paper.pdf -
Cascaded Refinement Network for Point Cloud Completion
会议：CVPR 2020.
作者：Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Cascaded_Refinement_Network_for_Point_Cloud_Completion_CVPR_2020_paper.pdf -
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
会议：CVPR 2020.
作者：Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Wen_Point_Cloud_Completion_by_Skip-Attention_Network_With_Hierarchical_Folding_CVPR_2020_paper.pdf -
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds
会议：CVPR 2020.
作者：Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_End-to-End_Learning_Local_Multi-View_Descriptors_for_3D_Point_Clouds_CVPR_2020_paper.pdf -
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks
会议：CVPR 2020.
作者：K L Navaneet, Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Navaneet_From_Image_Collections_to_Point_Clouds_With_Self-Supervised_Shape_and_CVPR_2020_paper.pdf -
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
会议：CVPR 2020.
作者：Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Lin_Convolution_in_the_Cloud_Learning_Deformable_Kernels_in_3D_Graph_CVPR_2020_paper.pdf -
Learning Multiview 3D Point Cloud Registration
会议：CVPR 2020.
作者：Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Gojcic_Learning_Multiview_3D_Point_Cloud_Registration_CVPR_2020_paper.pdf -
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
会议：CVPR 2020.
作者：Weijing Shi, Raj Rajkumar
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Shi_Point-GNN_Graph_Neural_Network_for_3D_Object_Detection_in_a_CVPR_2020_paper.pdf -
SampleNet: Differentiable Point Cloud Sampling
会议：CVPR 2020.
作者：Itai Lang, Asaf Manor, Shai Avidan
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Lang_SampleNet_Differentiable_Point_Cloud_Sampling_CVPR_2020_paper.pdf -
Neural Point Cloud Rendering via Multi-Plane Projection
会议：CVPR 2020.
作者：Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Dai_Neural_Point_Cloud_Rendering_via_Multi-Plane_Projection_CVPR_2020_paper.pdf -
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
会议：CVPR 2020.
作者：Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Pumarola_C-Flow_Conditional_Generative_Flow_Models_for_Images_and_3D_Point_CVPR_2020_paper.pdf -
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
会议：CVPR 2020.
作者：Yongming Rao, Jiwen Lu, Jie Zhou
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Rao_Global-Local_Bidirectional_Reasoning_for_Unsupervised_Representation_Learning_of_3D_Point_CVPR_2020_paper.pdf -
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
会议：CVPR 2020.
作者：Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Qi_P2B_Point-to-Box_Network_for_3D_Object_Tracking_in_Point_Clouds_CVPR_2020_paper.pdf -
Grid-GCN for Fast and Scalable Point Cloud Learning
会议：CVPR 2020.
作者：Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Xu_Grid-GCN_for_Fast_and_Scalable_Point_Cloud_Learning_CVPR_2020_paper.pdf -
Sequential 3D Human Pose and Shape Estimation From Point Clouds
会议：CVPR 2020.
作者：Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu, Jian Yang
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Sequential_3D_Human_Pose_and_Shape_Estimation_From_Point_Clouds_CVPR_2020_paper.pdf -
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
会议：CVPR 2020.
作者：Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_PointAugment_An_Auto-Augmentation_Framework_for_Point_Cloud_Classification_CVPR_2020_paper.pdf -
PF-Net: Point Fractal Network for 3D Point Cloud Completion
会议：CVPR 2020.
作者：Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Huang_PF-Net_Point_Fractal_Network_for_3D_Point_Cloud_Completion_CVPR_2020_paper.pdf -
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
会议：CVPR 2020.
作者：Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_PolarNet_An_Improved_Grid_Representation_for_Online_LiDAR_Point_Clouds_CVPR_2020_paper.pdf -
An Efficient PointLSTM for Point Clouds Based Gesture Recognition
会议：CVPR 2020.
作者：Yuecong Min, Yanxiao Zhang, Xiujuan Chai, Xilin Chen
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Min_An_Efficient_PointLSTM_for_Point_Clouds_Based_Gesture_Recognition_CVPR_2020_paper.pdf -
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
会议：CVPR 2020.
作者：Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Yan_PointASNL_Robust_Point_Clouds_Processing_Using_Nonlocal_Neural_Networks_With_CVPR_2020_paper.pdf -
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud
会议：CVPR 2020.
作者：Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhou_Geometry_and_Learning_Co-Supported_Normal_Estimation_for_Unstructured_Point_Cloud_CVPR_2020_paper.pdf -
End-to-End 3D Point Cloud Instance Segmentation Without Detection
会议：CVPR 2020.
作者：Haiyong Jiang, Feilong Yan, Jianfei Cai, Jianmin Zheng, Jun Xiao
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Jiang_End-to-End_3D_Point_Cloud_Instance_Segmentation_Without_Detection_CVPR_2020_paper.pdf -
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
会议：CVPR 2020.
作者：Huan Lei, Naveed Akhtar, Ajmal Mian
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Lei_SegGCN_Efficient_3D_Point_Cloud_Segmentation_With_Fuzzy_Spherical_Kernel_CVPR_2020_paper.pdf -
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
会议：CVPR 2020.
作者：Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Du_Associate-3Ddet_Perceptual-to-Conceptual_Association_for_3D_Point_Cloud_Object_Detection_CVPR_2020_paper.pdf -
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
会议：CVPR 2020.
作者：Xiaoshui Huang, Guofeng Mei, Jian Zhang
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Huang_Feature-Metric_Registration_A_Fast_Semi-Supervised_Approach_for_Robust_Point_Cloud_CVPR_2020_paper.pdf -
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
会议：CVPR 2020.
作者：Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
链接：https://openaccess.thecvf.com/content_CVPR_2020/papers/Hu_RandLA-Net_Efficient_Semantic_Segmentation_of_Large-Scale_Point_Clouds_CVPR_2020_paper.pdf -
Quaternion Equivariant Capsule Networks for 3D Point Clouds
会议：ECCV 2020.
作者：Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123460001.pdf -
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
会议：ECCV 2020.
作者：Marie-Julie Rakotosaona, Maks Ovsjanikov
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470647.pdf -
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification
会议：ECCV 2020.
作者：Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480069.pdf -
PointMixup: Augmentation for Point Clouds
会议：ECCV 2020.
作者：Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480341.pdf -
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
会议：ECCV 2020.
作者：Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480579.pdf -
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition
会议：ECCV 2020.
作者：Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490069.pdf -
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation
会议：ECCV 2020.
作者：Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Li Fuxin
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123500086.pdf -
Points2Surf Learning Implicit Surfaces from Point Clouds
会议：ECCV 2020.
作者：Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Niloy J. Mitra, Michael Wimmer
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123500103.pdf -
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
会议：ECCV 2020.
作者：Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510681.pdf -
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
会议：ECCV 2020.
作者：Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123520256.pdf -
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
会议：ECCV 2020.
作者：Minghua Liu, Xiaoshuai Zhang, Hao Su
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123530069.pdf -
GRNet: Gridding Residual Network for Dense Point Cloud Completion
会议：ECCV 2020.
作者：Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540341.pdf -
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
会议：ECCV 2020.
作者：Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550222.pdf -
Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes
会议：ECCV 2020.
作者：Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550460.pdf -
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
会议：ECCV 2020.
作者：Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550477.pdf -
CN: Channel Normalization For Point Cloud Recognition
会议：ECCV 2020.
作者：Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550596.pdf -
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection
会议：ECCV 2020.
作者：Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123560222.pdf -
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance
会议：ECCV 2020.
作者：Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123560528.pdf -
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
会议：ECCV 2020.
作者：Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570239.pdf -
Weakly Supervised 3D Object Detection from Lidar Point Cloud
会议：ECCV 2020.
作者：Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool , Dengxin Dai
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580511.pdf -
Progressive Point Cloud Deconvolution Generation Network
会议：ECCV 2020.
作者：Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123600392.pdf -
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
会议：ECCV 2020.
作者：Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123630256.pdf -
Streaming Object Detection for 3-D Point Clouds
会议：ECCV 2020.
作者：Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123630409.pdf -
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
会议：ECCV 2020.
作者：Tong He, Dong Gong, Zhi Tian, Chunhua Shen
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123630545.pdf -
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
会议：ECCV 2020.
作者：Yue Qian, Junhui Hou, Sam Kwong, Ying He
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123640732.pdf -
Learning Graph-Convolutional Representations for Point Cloud Denoising
会议：ECCV 2020.
作者：Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650103.pdf -
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
会议：ECCV 2020.
作者：Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650222.pdf -
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
会议：ECCV 2020.
作者：Jinxian Liu, Minghui Yu, Bingbing Ni⁴, Ye Chen
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670188.pdf -
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
会议：ECCV 2020.
作者：Ze Liu(†), Han Hu, Yue Cao, Zheng Zhang, Xin Tong
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123680324.pdf -
Discrete Point Flow Networks for Efficient Point Cloud Generation
会议：ECCV 2020.
作者：Roman Klokov, Edmond Boyer, Jakob Verbeek
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123680681.pdf -
Deep Novel View Synthesis from Colored 3D Point Clouds
会议：ECCV 2020.
作者：Zhenbo Song, Wayne Chen, Dylan Campbell, Hongdong Li
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123690001.pdf -
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration
会议：ECCV 2020.
作者：Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, Chi Zhang
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123690375.pdf -
Deep FusionNet for Point Cloud Semantic Segmentation
会议：ECCV 2020.
作者：Feihu Zhang Jin Fang Benjamin Wah Philip Torr
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123690630.pdf -
Detail Preserved Point Cloud Completion via Separated Feature Aggregation
会议：ECCV 2020.
作者：Wenxiao Zhang, Qingan Yan, Chunxia Xiao
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700511.pdf -
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
会议：ECCV 2020.
作者：Xinge Zhu Yuexin Ma Tai Wang Yan Xu Jianping Shi Dahua Lin
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700579.pdf -
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts
会议：ECCV 2020.
作者：Chi-Chong Wong, Chi-Man Vong
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720494.pdf -
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
会议：ECCV 2020.
作者：Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123730001.pdf -
Orderly Disorder in Point Cloud Domain
会议：ECCV 2020.
作者：Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, and Ardhendu Behera
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123730494.pdf -
FLOT: Scene Flow on Point Clouds guided by Optimal Transport
会议：ECCV 2020.
作者：Gilles Puy, Alexandre Boulch, Renaud Marlet
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123730528.pdf -
Instance-Aware Embedding for Point Cloud Instance Segmentation
会议：ECCV 2020.
作者：Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun
链接：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750256.pdf -
Unpaired Point Cloud Completion on Real Scans using Adversarial Training
会议：ICLR 2020.
作者：Xuelin Chen, Baoquan Chen, Niloy J. Mitra
链接：https://openreview.net/pdf?id=HkgrZ0EYwB -
AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing
会议：ICLR 2020.
作者：Xingzhe He, Helen Lu Cao, Bo Zhu
链接：https://openreview.net/pdf?id=H1eqQeHFDS -
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
会议：ICLR 2020.
作者：Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey
链接：https://openreview.net/pdf?id=BJeKh3VYDH -
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
会议：IJCAI 2020.
作者：Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma
链接：https://www.ijcai.org/proceedings/2020/0084.pdf -
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation
会议：IJCAI 2020.
作者：Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun
链接：https://www.ijcai.org/proceedings/2020/0110.pdf -
Point Cloud Processing via Recurrent Set Encoding
会议：AAAI 2019. AAAI Technical Track: Machine Learning.
作者：Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas
链接：https://aaai.org/ojs/index.php/AAAI/article/view/4484/4362 -
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network
会议：AAAI 2019. AAAI Technical Track: Vision.
作者：Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
链接：https://144.208.67.177/ojs/index.php/AAAI/article/view/4903/4776 -
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
会议：AAAI 2019. AAAI Technical Track: Vision.
作者：Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
链接：https://144.208.67.177/ojs/index.php/AAAI/article/view/4908/4781 -
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
会议：CVPR 2019.
作者：Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Le_SDRSAC_Semidefinite-Based_Randomized_Approach_for_Robust_Point_Cloud_Registration_Without_CVPR_2019_paper.pdf -
TopNet: Structural Point Cloud Decoder
会议：CVPR 2019.
作者：Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, Silvio Savarese
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Tchapmi_TopNet_Structural_Point_Cloud_Decoder_CVPR_2019_paper.pdf -
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
会议：CVPR 2019.
作者：Yongming Rao, Jiwen Lu, Jie Zhou
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Rao_Spherical_Fractal_Convolutional_Neural_Networks_for_Point_Cloud_Recognition_CVPR_2019_paper.pdf -
FlowNet3D: Learning Scene Flow in 3D Point Clouds
会议：CVPR 2019.
作者：Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_FlowNet3D_Learning_Scene_Flow_in_3D_Point_Clouds_CVPR_2019_paper.pdf -
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
会议：CVPR 2019.
作者：Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_PointRCNN_3D_Object_Proposal_Generation_and_Detection_From_Point_Cloud_CVPR_2019_paper.pdf -
Structural Relational Reasoning of Point Clouds
会议：CVPR 2019.
作者：Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Duan_Structural_Relational_Reasoning_of_Point_Clouds_CVPR_2019_paper.pdf -
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN
会议：CVPR 2019.
作者：Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Lan_Modeling_Local_Geometric_Structure_of_3D_Point_Clouds_Using_Geo-CNN_CVPR_2019_paper.pdf -
Supervised Fitting of Geometric Primitives to 3D Point Clouds
会议：CVPR 2019.
作者：Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Supervised_Fitting_of_Geometric_Primitives_to_3D_Point_Clouds_CVPR_2019_paper.pdf -
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
会议：CVPR 2019.
作者：Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Gu_HPLFlowNet_Hierarchical_Permutohedral_Lattice_FlowNet_for_Scene_Flow_Estimation_on_CVPR_2019_paper.pdf -
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
会议：CVPR 2019.
作者：Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Modeling_Point_Clouds_With_Self-Attention_and_Gumbel_Subset_Sampling_CVPR_2019_paper.pdf -
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
会议：CVPR 2019.
作者：Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Yi_GSPN_Generative_Shape_Proposal_Network_for_3D_Instance_Segmentation_in_CVPR_2019_paper.pdf -
Associatively Segmenting Instances and Semantics in Point Clouds
会议：CVPR 2019.
作者：Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Associatively_Segmenting_Instances_and_Semantics_in_Point_Clouds_CVPR_2019_paper.pdf -
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis
会议：CVPR 2019.
作者：Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_ClusterNet_Deep_Hierarchical_Cluster_Network_With_Rigorously_Rotation-Invariant_Representation_for_CVPR_2019_paper.pdf -
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities
会议：CVPR 2019.
作者：Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Gojcic_The_Perfect_Match_3D_Point_Cloud_Matching_With_Smoothed_Densities_CVPR_2019_paper.pdf -
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
会议：CVPR 2019.
作者：Hengshuang Zhao, Li Jiang, Chi-Wing Fu, Jiaya Jia
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_PointWeb_Enhancing_Local_Neighborhood_Features_for_Point_Cloud_Processing_CVPR_2019_paper.pdf -
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
会议：CVPR 2019.
作者：Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Sarmad_RL-GAN-Net_A_Reinforcement_Learning_Agent_Controlled_GAN_Network_for_Real-Time_CVPR_2019_paper.pdf -
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
会议：CVPR 2019.
作者：Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Wijmans_Embodied_Question_Answering_in_Photorealistic_Environments_With_Point_Cloud_Perception_CVPR_2019_paper.pdf -
GeoNet: Deep Geodesic Networks for Point Cloud Analysis
会议：CVPR 2019.
作者：Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/He_GeoNet_Deep_Geodesic_Networks_for_Point_Cloud_Analysis_CVPR_2019_paper.pdf -
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
会议：CVPR 2019.
作者：Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Aoki_PointNetLK_Robust__Efficient_Point_Cloud_Registration_Using_PointNet_CVPR_2019_paper.pdf -
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
会议：CVPR 2019.
作者：Artem Komarichev, Zichun Zhong, Jing Hua
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Komarichev_A-CNN_Annularly_Convolutional_Neural_Networks_on_Point_Clouds_CVPR_2019_paper.pdf -
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
会议：CVPR 2019.
作者：Loic Landrieu, Mohamed Boussaha
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Landrieu_Point_Cloud_Oversegmentation_With_Graph-Structured_Deep_Metric_Learning_CVPR_2019_paper.pdf -
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
会议：CVPR 2019.
作者：Aseem Behl, Despoina Paschalidou, Simon Donne, Andreas Geiger
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Behl_PointFlowNet_Learning_Representations_for_Rigid_Motion_Estimation_From_Point_Clouds_CVPR_2019_paper.pdf -
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
会议：CVPR 2019.
作者：Li Ding, Chen Feng
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_DeepMapping_Unsupervised_Map_Estimation_From_Multiple_Point_Clouds_CVPR_2019_paper.pdf -
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
会议：CVPR 2019.
作者：Quang-Hieu Pham, Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Pham_JSIS3D_Joint_Semantic-Instance_Segmentation_of_3D_Point_Clouds_With_Multi-Task_CVPR_2019_paper.pdf -
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
会议：CVPR 2019.
作者：Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Relation-Shape_Convolutional_Neural_Network_for_Point_Cloud_Analysis_CVPR_2019_paper.pdf -
Generating 3D Adversarial Point Clouds
会议：CVPR 2019.
作者：Chong Xiang, Charles R. Qi, Bo Li
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiang_Generating_3D_Adversarial_Point_Clouds_CVPR_2019_paper.pdf -
PointConv: Deep Convolutional Networks on 3D Point Clouds
会议：CVPR 2019.
作者：Wenxuan Wu, Zhongang Qi, Li Fuxin
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_PointConv_Deep_Convolutional_Networks_on_3D_Point_Clouds_CVPR_2019_paper.pdf -
Octree Guided CNN With Spherical Kernels for 3D Point Clouds
会议：CVPR 2019.
作者：Huan Lei, Naveed Akhtar, Ajmal Mian
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Lei_Octree_Guided_CNN_With_Spherical_Kernels_for_3D_Point_Clouds_CVPR_2019_paper.pdf -
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
会议：CVPR 2019.
作者：Ziquan Lan, Zi Jian Yew, Gim Hee Lee
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Lan_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes_CVPR_2019_paper.pdf -
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
会议：CVPR 2019.
作者：Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Ben-Shabat_Nesti-Net_Normal_Estimation_for_Unstructured_3D_Point_Clouds_Using_Convolutional_CVPR_2019_paper.pdf -
Graph Attention Convolution for Point Cloud Semantic Segmentation
会议：CVPR 2019.
作者：Lei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Graph_Attention_Convolution_for_Point_Cloud_Semantic_Segmentation_CVPR_2019_paper.pdf -
LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds
会议：CVPR 2019.
作者：Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabas Poczos, Yaser Sheikh
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_LBS_Autoencoder_Self-Supervised_Fitting_of_Articulated_Meshes_to_Point_Clouds_CVPR_2019_paper.pdf -
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
会议：CVPR 2019.
作者：Wenxiao Zhang, Chunxia Xiao
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_PCAN_3D_Attention_Map_Learning_Using_Contextual_Information_for_Point_CVPR_2019_paper.pdf -
PointPillars: Fast Encoders for Object Detection From Point Clouds
会议：CVPR 2019.
作者：Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
链接：https://openaccess.thecvf.com/content_CVPR_2019/papers/Lang_PointPillars_Fast_Encoders_for_Object_Detection_From_Point_Clouds_CVPR_2019_paper.pdf -
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration
会议：ICCV 2019.
作者：Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Lu_DeepVCP_An_End-to-End_Deep_Neural_Network_for_Point_Cloud_Registration_ICCV_2019_paper.pdf -
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
会议：ICCV 2019.
作者：Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Hermosilla_Total_Denoising_Unsupervised_Learning_of_3D_Point_Cloud_Cleaning_ICCV_2019_paper.pdf -
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds
会议：ICCV 2019.
作者：Jiaxin Li, Gim Hee Lee
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_USIP_Unsupervised_Stable_Interest_Point_Detection_From_3D_Point_Clouds_ICCV_2019_paper.pdf -
Interpolated Convolutional Networks for 3D Point Cloud Understanding
会议：ICCV 2019.
作者：Jiageng Mao, Xiaogang Wang, Hongsheng Li
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Mao_Interpolated_Convolutional_Networks_for_3D_Point_Cloud_Understanding_ICCV_2019_paper.pdf -
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
会议：ICCV 2019.
作者：Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Uy_Revisiting_Point_Cloud_Classification_A_New_Benchmark_Dataset_and_Classification_ICCV_2019_paper.pdf -
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics
会议：ICCV 2019.
作者：Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Zhang_ShellNet_Efficient_Point_Cloud_Convolutional_Neural_Networks_Using_Concentric_Shells_ICCV_2019_paper.pdf -
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
会议：ICCV 2019.
作者：Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Yang_STD_Sparse-to-Dense_3D_Object_Detector_for_Point_Cloud_ICCV_2019_paper.pdf -
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
会议：ICCV 2019.
作者：Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Zhou_DUP-Net_Denoiser_and_Upsampler_Network_for_3D_Adversarial_Point_Clouds_ICCV_2019_paper.pdf -
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
会议：ICCV 2019.
作者：Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Peng Yin, Wen Chen, Hesheng Wang, Haoang Li, Yun-Hui Liu
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_LPD-Net_3D_Point_Cloud_Learning_for_Large-Scale_Place_Recognition_and_ICCV_2019_paper.pdf -
Deep Closest Point: Learning Representations for Point Cloud Registration
会议：ICCV 2019.
作者：Yue Wang, Justin M. Solomon
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_Deep_Closest_Point_Learning_Representations_for_Point_Cloud_Registration_ICCV_2019_paper.pdf -
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
会议：ICCV 2019.
作者：Dong Wook Shu, Sung Woo Park, Junseok Kwon
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Shu_3D_Point_Cloud_Generative_Adversarial_Network_Based_on_Tree_Structured_ICCV_2019_paper.pdf -
Efficient Learning on Point Clouds With Basis Point Sets
会议：ICCV 2019.
作者：Sergey Prokudin, Christoph Lassner, Javier Romero
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Prokudin_Efficient_Learning_on_Point_Clouds_With_Basis_Point_Sets_ICCV_2019_paper.pdf -
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
会议：ICCV 2019.
作者：Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Yang_PointFlow_3D_Point_Cloud_Generation_With_Continuous_Normalizing_Flows_ICCV_2019_paper.pdf -
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
会议：ICCV 2019.
作者：Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_DensePoint_Learning_Densely_Contextual_Representation_for_Efficient_Point_Cloud_Processing_ICCV_2019_paper.pdf -
Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds
会议：ICCV 2019.
作者：Haiyong Jiang, Jianfei Cai, Jianmin Zheng
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Jiang_Skeleton-Aware_3D_Human_Shape_Reconstruction_From_Point_Clouds_ICCV_2019_paper.pdf -
KPConv: Flexible and Deformable Convolution for Point Clouds
会议：ICCV 2019.
作者：Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Francois Goulette, Leonidas J. Guibas
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Thomas_KPConv_Flexible_and_Deformable_Convolution_for_Point_Clouds_ICCV_2019_paper.pdf -
PU-GAN: A Point Cloud Upsampling Adversarial Network
会议：ICCV 2019.
作者：Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_PU-GAN_A_Point_Cloud_Upsampling_Adversarial_Network_ICCV_2019_paper.pdf -
Unsupervised Multi-Task Feature Learning on Point Clouds
会议：ICCV 2019.
作者：Kaveh Hassani, Mike Haley
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Hassani_Unsupervised_Multi-Task_Feature_Learning_on_Point_Clouds_ICCV_2019_paper.pdf -
VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation
会议：ICCV 2019.
作者：Hsien-Yu Meng, Lin Gao, Yu-Kun Lai, Dinesh Manocha
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Meng_VV-Net_Voxel_VAE_Net_With_Group_Convolutions_for_Point_Cloud_ICCV_2019_paper.pdf -
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
会议：ICCV 2019.
作者：Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Nguyen_GraphX-Convolution_for_Point_Cloud_Deformation_in_2D-to-3D_Conversion_ICCV_2019_paper.pdf -
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
会议：ICCV 2019.
作者：Xingyu Liu, Mengyuan Yan, Jeannette Bohg
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_MeteorNet_Deep_Learning_on_Dynamic_3D_Point_Cloud_Sequences_ICCV_2019_paper.pdf -
Deep Hough Voting for 3D Object Detection in Point Clouds
会议：ICCV 2019.
作者：Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Qi_Deep_Hough_Voting_for_3D_Object_Detection_in_Point_Clouds_ICCV_2019_paper.pdf -
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
会议：ICCV 2019.
作者：Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Jiang_Hierarchical_Point-Edge_Interaction_Network_for_Point_Cloud_Semantic_Segmentation_ICCV_2019_paper.pdf -
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
会议：ICCV 2019.
作者：Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
链接：https://openaccess.thecvf.com/content_ICCV_2019/papers/Han_Multi-Angle_Point_Cloud-VAE_Unsupervised_Feature_Learning_for_3D_Point_Clouds_ICCV_2019_paper.pdf -
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
会议：ICLR 2019.
作者：Diego Valsesia, Giulia Fracastoro, Enrico Magli
链接：https://openreview.net/pdf?id=SJeXSo09FQ -
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations
会议：NeurIPS 2019.
作者：Xu Wang, Jingming He, Lin Ma
链接：https://papers.nips.cc/paper/8706-exploiting-local-and-global-structure-for-point-cloud-semantic-segmentation-with-contextual-point-representations.pdf -
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
会议：NeurIPS 2019.
作者：Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
链接：https://papers.nips.cc/paper/8899-learning-object-bounding-boxes-for-3d-instance-segmentation-on-point-clouds.pdf -
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
会议：NeurIPS 2019.
作者：Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
链接：https://papers.nips.cc/paper/8940-pointdan-a-multi-scale-3d-domain-adaption-network-for-point-cloud-representation.pdf -
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
会议：NeurIPS 2019.
作者：Jonathan Sauder, Bjarne Sievers
链接：https://papers.nips.cc/paper/9455-self-supervised-deep-learning-on-point-clouds-by-reconstructing-space.pdf -
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
会议：AAAI 2018. AAAI18 - Vision.
作者：Chen-Hsuan Lin, Chen Kong, Simon Lucey
链接：https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16530/16302 -
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
会议：CVPR 2018.
作者：Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_FoldingNet_Point_Cloud_CVPR_2018_paper.pdf -
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
会议：CVPR 2018.
作者：Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Su_SPLATNet_Sparse_Lattice_CVPR_2018_paper.pdf -
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
会议：CVPR 2018.
作者：Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SGPN_Similarity_Group_CVPR_2018_paper.pdf -
Recurrent Slice Networks for 3D Segmentation of Point Clouds
会议：CVPR 2018.
作者：Qiangui Huang, Weiyue Wang, Ulrich Neumann
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Recurrent_Slice_Networks_CVPR_2018_paper.pdf -
PU-Net: Point Cloud Upsampling Network
会议：CVPR 2018.
作者：Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_PU-Net_Point_Cloud_CVPR_2018_paper.pdf -
Inverse Composition Discriminative Optimization for Point Cloud Registration
会议：CVPR 2018.
作者：Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, João P. Costeira
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Vongkulbhisal_Inverse_Composition_Discriminative_CVPR_2018_paper.pdf -
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds
会议：CVPR 2018.
作者：Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Birdal_A_Minimalist_Approach_CVPR_2018_paper.pdf -
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation
会议：CVPR 2018.
作者：Riccardo Roveri, Lukas Rahmann, Cengiz Oztireli, Markus Gross
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Roveri_A_Network_Architecture_CVPR_2018_paper.pdf -
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
会议：CVPR 2018.
作者：Mikaela Angelina Uy, Gim Hee Lee
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Uy_PointNetVLAD_Deep_Point_CVPR_2018_paper.pdf -
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
会议：CVPR 2018.
作者：Yin Zhou, Oncel Tuzel
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_VoxelNet_End-to-End_Learning_CVPR_2018_paper.pdf -
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
会议：CVPR 2018.
作者：Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Mining_Point_Cloud_CVPR_2018_paper.pdf -
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs
会议：CVPR 2018.
作者：Loic Landrieu, Martin Simonovsky
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Landrieu_Large-Scale_Point_Cloud_CVPR_2018_paper.pdf -
Reflection Removal for Large-Scale 3D Point Clouds
会议：CVPR 2018.
作者：Jae-Seong Yun, Jae-Young Sim
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Yun_Reflection_Removal_for_CVPR_2018_paper.pdf -
Attentional ShapeContextNet for Point Cloud Recognition
会议：CVPR 2018.
作者：Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Xie_Attentional_ShapeContextNet_for_CVPR_2018_paper.pdf -
PIXOR: Real-Time 3D Object Detection From Point Clouds
会议：CVPR 2018.
作者：Bin Yang, Wenjie Luo, Raquel Urtasun
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_PIXOR_Real-Time_3D_CVPR_2018_paper.pdf -
SO-Net: Self-Organizing Network for Point Cloud Analysis
会议：CVPR 2018.
作者：Jiaxin Li, Ben M. Chen, Gim Hee Lee
链接：https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_SO-Net_Self-Organizing_Network_CVPR_2018_paper.pdf -
Multiresolution Tree Networks for 3D Point Cloud Processing
会议：ECCV 2018.
作者：Matheus Gadelha, Rui Wang, Subhransu Maji
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Matheus_Gadelha_Multiresolution_Tree_Networks_ECCV_2018_paper.pdf -
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation
会议：ECCV 2018.
作者：Xiaoqing Ye, Jiamao Li, Hexiao Huang, Liang Du, Xiaolin Zhang
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Xiaoqing_Ye_3D_Recurrent_Neural_ECCV_2018_paper.pdf -
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
会议：ECCV 2018.
作者：Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen, Tian Fang, Long Quan
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Lei_Zhou_Learning_and_Matching_ECCV_2018_paper.pdf -
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
会议：ECCV 2018.
作者：Zi Jian Yew, Gim Hee Lee
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Zi_Jian_Yew_3DFeat-Net_Weakly_Supervised_ECCV_2018_paper.pdf -
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search
会议：ECCV 2018.
作者：Yinlong Liu, Chen Wang, Zhijian Song, Manning Wang
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Yinlong_Liu_Efficient_Global_Point_ECCV_2018_paper.pdf -
Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields
会议：ECCV 2018.
作者：Kejie Li, Trung Pham, Huangying Zhan, Ian Reid
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Kejie_Li_Efficient_Dense_Point_ECCV_2018_paper.pdf -
Fully-Convolutional Point Networks for Large-Scale Point Clouds
会议：ECCV 2018.
作者：Dario Rethage, Johanna Wald, Jurgen Sturm, Nassir Navab, Federico Tombari
链接：https://openaccess.thecvf.com/content_ECCV_2018/papers/Dario_Rethage_Fully-Convolutional_Point_Networks_ECCV_2018_paper.pdf -
Learning Representations and Generative Models for 3D Point Clouds
会议：ICML 2018.
作者：Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas J. Guibas -
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
会议：NeurIPS 2018.
作者：Eldar Insafutdinov, Alexey Dosovitskiy -
Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity
会议：CVPR 2017.
作者：Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof -
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures
会议：CVPR 2017.
作者：Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III -
Discriminative Optimization: Theory and Applications to Point Cloud Registration
会议：CVPR 2017.
作者：Jayakorn Vongkulbhisal, Fernando De la Torre, Joao P. Costeira -
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder
会议：CVPR 2017.
作者：Gil Elbaz, Tamar Avraham, Anath Fischer -
Colored Point Cloud Registration Revisited
会议：ICCV 2017.
作者：Jaesik Park, Qian-Yi Zhou, Vladlen Koltun -
Escape From Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
会议：ICCV 2017.
作者：Roman Klokov, Victor Lempitsky -
Local-To-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors
会议：ICCV 2017.
作者：David Avidar, David Malah, Meir Barzohar -
PolyFit: Polygonal Surface Reconstruction From Point Clouds
会议：ICCV 2017.
作者：Liangliang Nan, Peter Wonka -
From Point Clouds to Mesh Using Regression
会议：ICCV 2017.
作者：Lubor Ladicky, Olivier Saurer, SoHyeon Jeong, Fabio Maninchedda, Marc Pollefeys -
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds
会议：ICCV 2017.
作者：Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu -
Contour Detection in Unstructured 3D Point Clouds
会议：CVPR 2016.
作者：Timo Hackel, Jan D. Wegner, Konrad Schindler -
Accelerated Generative Models for 3D Point Cloud Data
会议：CVPR 2016.
作者：Benjamin Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz -
Manhattan-World Urban Reconstruction from Point Clouds
会议：ECCV 2016.
作者：Minglei Li, Peter Wonka, Liangliang Nan -
Constrained Planar Cuts - Object Partitioning for Point Clouds
会议：CVPR 2015.
作者：Markus Schoeler, Jeremie Papon, Florentin Worgotter -
On the Visibility of Point Clouds
会议：ICCV 2015.
作者：Sagi Katz, Ayellet Tal
链接：https://openaccess.thecvf.com/content_iccv_2015/papers/Katz_On_the_Visibility_ICCV_2015_paper.pdf -
Procedural Editing of 3D Building Point Clouds
会议：ICCV 2015.
作者：Ilke Demir, Daniel G. Aliaga, Bedrich Benes -
A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform
会议：CVPR 2014.
作者：Yan Deng, Anand Rangarajan, Stephan Eisenschenk, Baba C. Vemuri -
Pipe-Run Extraction and Reconstruction from Point Clouds
会议：ECCV 2014.
作者：Rongqi Qiu, Qian-Yi Zhou, Ulrich Neumann -
Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds
会议：ECCV 2014.
作者：Tomas Simon, Jack Valmadre, Iain A. Matthews, Yaser Sheikh -
Non-associative Higher-Order Markov Networks for Point Cloud Classification
会议：ECCV 2014.
作者：Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
