Dynamic Graph CNN for Learning on Point Clouds

24 January 2018

Yue Wang

Papers citing "Dynamic Graph CNN for Learning on Point Clouds"

50 / 935 papers shown

Title
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis Cheng Wen Jia-Li Long B. Yu Dacheng Tao 3DPC 43 7 0 10 Feb 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks Yaobo Song Laurens Bliek Yingqian Zhang 34 1 0 08 Feb 2023
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes Mohammad Farazi Zhangsihao Yang Wenjie Zhu Peijie Qiu Yalin Wang 3DV 30 4 0 08 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Zekun Qi Runpei Dong Guo Fan Zheng Ge Xiangyu Zhang Kaisheng Ma Li Yi 38 118 0 05 Feb 2023
IKEA-Manual: Seeing Shape Assembly Step by Step Ruocheng Wang Yunzhi Zhang Jiayuan Mao Ran Zhang Chin-Yi Cheng Jiajun Wu 3DV 32 17 0 03 Feb 2023
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors Zhangyang Xiong Di Kang Derong Jin Weikai Chen Linchao Bao Shuguang Cui Xiaoguang Han 3DH 36 22 0 02 Feb 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 65 1 0 31 Jan 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information Xin Li Mingqiang Wei Songcan Chen 3DPC SSL 35 4 0 30 Jan 2023
3D Object Detection in LiDAR Point Clouds using Graph Neural Networks R. ShreelakshmiC S. Durbha Gaganpreet Singh 3DPC 22 1 0 29 Jan 2023
Object Preserving Siamese Network for Single Object Tracking on Point Clouds Kaijie Zhao Haitao Zhao Zhongze Wang Jingchao Peng Zhengwei Hu 3DPC 10 3 0 28 Jan 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Biao Zhang Jiapeng Tang Matthias Niessner Peter Wonka DiffM 27 196 0 26 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation Elena Camuffo Umberto Michieli Simone Milani 3DPC 30 4 0 26 Jan 2023
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation Ananya Jana H. Subhash Dimitris N. Metaxas 54 5 0 25 Jan 2023
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving Angelika Ando Spyros Gidaris Andrei Bursuc Gilles Puy Alexandre Boulch Renaud Marlet ViT 3DPC 20 71 0 24 Jan 2023
LoCoNet: Long-Short Context Network for Active Speaker Detection Xizi Wang Feng Cheng Gedas Bertasius David J. Crandall 26 15 0 19 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 Jan 2023
Joint Representation Learning for Text and 3D Point Cloud Rui Huang Xuran Pan Henry Zheng Haojun Jiang Zhifeng Xie S. Song Gao Huang 33 19 0 18 Jan 2023
Long Range Pooling for 3D Large-Scale Scene Understanding Xiang-Li Li Meng-Hao Guo Tai-Jiang Mu Ralph Robert Martin Shiyong Hu 3DV 3DPC 19 2 0 17 Jan 2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly Chengzhi Wu Xuelei Bi Julius Pfrommer Alexander Cebulla Simon Mangold Jürgen Beyerer 3DPC 27 20 0 12 Jan 2023
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning Chengzhi Wu Linxi Qiu Kanran Zhou Julius Pfrommer Jürgen Beyerer 34 1 0 11 Jan 2023
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding Chengzhi Wu Julius Pfrommer Jürgen Beyerer Kangning Li B. Neubert 3DPC 21 2 0 11 Jan 2023
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors Chengzhi Wu Kanran Zhou Jan-Philipp Kaiser Norbert Mitschke Jan F. Klein Julius Pfrommer Jürgen Beyerer G. Lanza M. Heizmann K. Furmans AI4CE 33 7 0 11 Jan 2023
Dynamic Local Feature Aggregation for Learning on Point Clouds Zihao Li Pan Gao Hui Yuan Ran Wei 3DPC 30 3 0 07 Jan 2023
Hierarchical Point Attention for Indoor 3D Object Detection Manli Shu Le Xue Ning Yu Roberto Martín-Martín Caiming Xiong Tom Goldstein Juan Carlos Niebles Ran Xu 3DPC 37 1 0 06 Jan 2023
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography Yuqian Chen Fan Zhang L. Zekelman Tengfei Xue Chaoyi Zhang Yang Song N. Makris Yogesh Rathi Weidong (Tom) Cai L. O’Donnell DiffM MedIm 21 8 0 05 Jan 2023
Benchmarking the Robustness of LiDAR Semantic Segmentation Models Xu Yan Chaoda Zheng Ying Xue Zhen Li Shuguang Cui Dengxin Dai AAML 3DV 3DPC 28 19 0 03 Jan 2023
Ponder: Point Cloud Pre-training via Neural Rendering Di Huang Sida Peng Tong He Honghui Yang Xiaowei Zhou Wanli Ouyang SSL 3DPC 39 41 0 31 Dec 2022
Effects of Data Geometry in Early Deep Learning Saket Tiwari George Konidaris 79 7 0 29 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network G. Choudhary I. Burhanuddin Eunyee Koh F. Du Ryan A. Rossi 35 0 0 28 Dec 2022
MVTN: Learning Multi-View Transformations for 3D Understanding Abdullah Hamdi Faisal AlZahrani Silvio Giancola Guohao Li 3DPC 3DV 34 6 0 27 Dec 2022
Learning to Estimate 3D Human Pose from Point Cloud Yufan Zhou Haiwei Dong Abdulmotaleb El Saddik 3DH 33 31 0 25 Dec 2022
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency Mingye Xu Mutian Xu Tong He Wanli Ouyang Yali Wang Xiaoguang Han Yu Qiao 34 10 0 20 Dec 2022
Correspondence Distillation from NeRF-based GAN Yushi Lan Chen Change Loy Bo Dai 38 9 0 19 Dec 2022
GeoCode: Interpretable Shape Programs Ofek Pearl Itai Lang Yuhua Hu Raymond A. Yeh Rana Hanocka 35 14 0 19 Dec 2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images Yuan Yao Yuanhan Zhang Zhen-fei Yin Jiebo Luo Wanli Ouyang Xiaoshui Huang 3DPC 29 10 0 17 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis Qijian Zhang Junhui Hou Y. Qian Yiming Zeng Juyong Zhang Ying He 3DPC 48 24 0 17 Dec 2022
Lightweight integration of 3D features to improve 2D image segmentation Olivier Pradelle R. Chaine D. Wendland Julie Digne 3DV 3DPC 33 2 0 16 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? Runpei Dong Zekun Qi Linfeng Zhang Junbo Zhang Jian‐Yuan Sun Zheng Ge Li Yi Kaisheng Ma ViT 3DPC 29 84 0 16 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders Renrui Zhang Liuhui Wang Yu Qiao Peng Gao Hongsheng Li 3DPC 41 125 0 13 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 36 6 0 12 Dec 2022
Local Neighborhood Features for 3D Classification Shivanand Venkanna Sheshappanavar Chandra Kambhamettu 3DPC 25 2 0 09 Dec 2022
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud Yachao Zhang Zhonghao Li Yuan Xie Yanyun Qu Cuihua Li Tao Mei 3DPC 24 94 0 09 Dec 2022
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder Xiaoshui Huang Zhou Huang Shengjia Li Wentao Qu Tong He Yuenan Hou Yifan Zuo Wanli Ouyang 13 11 0 08 Dec 2022
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds Zhipeng Zhao Huai Yu Chenwei Lyv Wen Yang Sebastian Scherer 3DPC 35 3 0 06 Dec 2022
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning Jie Hong Shi Qiu Weihong Li Saeed Anwar Mehrtash Harandi Nick Barnes L. Petersson 3DPC 34 6 0 05 Dec 2022
A Geometric-Relational Deep Learning Framework for BIM Object Classification Hairong Luo G. Gao Han Huang Zi-Yi Ke Cheng Peng M. Gu AI4CE 16 3 0 02 Dec 2022
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion Lintai Wu Qijian Zhang Junhui Hou Yong-mei Xu 3DPC 38 7 0 01 Dec 2022
Effective Utilisation of Multiple Open-Source Datasets to Improve Generalisation Performance of Point Cloud Segmentation Models Matthew Howe Boris Repasky Timothy Payne 3DPC 28 0 0 29 Nov 2022
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape Linkun Fan Fazhi He Qingchen Guo Wei Tang Xiaolin Hong Bing Li AAML 3DPC 26 8 0 28 Nov 2022