SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Yi, Li, Su, Hao, Guo, Xingwen, Guibas, Leonidas·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cited by (458)
Items 201–300 of 458
- Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen CategoriesLuo, Tiange, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su · 2020 · arXiv (Cornell University)
- DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionRenrui Zhang, Ziyao Zeng, Ziyu Guo, Xinben Gao, Kexue Fu, Jianbo Shi · 2021 · arXiv (Cornell University)
- Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban ScenesRongting Zhang, Guangyun Zhang, Jihao Yin, Xiuping Jia, Ajmal Saeed Mian · 2023 · IEEE Transactions on Geoscience and Remote Sensing
- TARig: Adaptive template-aware neural rigging for humanoid charactersJing Ma, Dongliang Zhang · 2023 · Computers & Graphics
- Fast mesh data augmentation via Chebyshev polynomial of spectral filteringShih-Gu Huang, Moo Kwon Chung, Anqi Qiu · 2021 · Neural Networks
- PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisShen Zheng, Jinqian Pan, Changjie Lu, Gaurav Gupta · 2023 · International Joint Conference on Neural Networks (IJCNN)
- GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated ObjectsQiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Context Prediction for Unsupervised Deep Learning on Point Clouds.Jonathan F. Sauder, Bjarne Sievers · 2019
- Point cloud classification with deep normalized Reeb graph convolutionWeiming Wang, Yang You, Wenhai Liu, Cewu Lu · 2020 · Image and Vision Computing
- Detection of Small Impact Craters via Semantic Segmenting Lunar Point Clouds Using Deep Learning NetworkYifan Hu, Jun Xiao, Lupeng Liu, Long Zhang, Ying Wang · 2021 · Remote Sensing
- Practical shape analysis and segmentation methods for point cloud modelsReed M. Williams, Horea Ilieş · 2018 · Computer Aided Geometric Design
- TARig: Adaptive template-aware neural rigging for humanoid charactersMa, Jing, Zhang, Dongliang · 2023
- Latent-MVCNN: 3D Shape Recognition Using Multiple Views from Pre-defined or Random ViewpointsQian Yu, Chengzhuan Yang, Honghui Fan, Hui Wei · 2020 · Neural Processing Letters
- PointALCR: adversarial latent GAN and contrastive regularization for point cloud completionQi Liu, Jiacheng Zhao, Changjie Cheng, Bin Sheng, Lizhuang Ma · 2022 · The Visual Computer
- MFNet: Multi-Level Feature Extraction and Fusion Network for Large-Scale Point Cloud ClassificationYong Li, Qi Lin, Zhenxin Zhang, Liqiang Zhang, Dong Chen, Feng Shuang · 2022 · Remote Sensing
- Spherical Convolutional Neural Network for 3D Point CloudsHuan Lei, Naveed Akhtar, Ajmal Saeed Mian · 2018 · arXiv (Cornell University)
- PRIN: Pointwise Rotation-Invariant Network.Yang You, Yujing Lou, Qi Liu, Lizhuang Ma, Weiming Wang, Yu‐Wing Tai, Cewu Lu · 2018 · arXiv (Cornell University)
- MortonNet: Self-Supervised Learning of Local Features in 3D Point CloudsAli Thabet, Humam Alwassel, Bernard Ghanem · 2019 · arXiv (Cornell University)
- NormalNet: Learning-based Normal Filtering for Mesh DenoisingWenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan B, Debin Zhao · 2019 · arXiv (Cornell University)
- SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and SegmentationXiao Na Sun, Zhouhui Lian, Jianguo Xiao · 2019 · arXiv (Cornell University)
- Advancements in deep learning for point cloud classification and segmentation: A comprehensive reviewWei Min Zhou, Kunlong Liu, Weiwei Jin, Qian Wang, Yunfeng She, Yongxiang Yu, Caiwen Ma · 2025 · Computers & Graphics
- Simplification of 3D CAD Model in Voxel Form for Mechanical Parts Using Generative Adversarial NetworksHyunoh Lee, Jinwon Lee, Soonjo Kwon, Karthik Ramani A, Hyung‐gun Chi, Duhwan Mun · 2023 · Computer-Aided Design
- RealPoint3D: Generating 3D Point Clouds from a Single Image of Complex ScenariosYan Xia, Cheng Wang, Yusheng Xu, Yu Zang, Weiquan Liu, Jonathan Li, Uwe Stilla · 2019 · Remote Sensing
- RigNet: Neural Rigging for Articulated CharactersXu, Zhan, Zhou, Yang, Kalogerakis, Evangelos, Landreth, Chris, Singh, Karan · 2020 · arXiv
- Learning to group and label fine-grained shape componentsXiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qinping Zhao, Kai Xu · 2018 · ACM Transactions on Graphics
- Deep residual neural network based PointNet for 3D object part segmentationBin Li, Yonghan Zhang, Fuqiang Sun · 2020 · Multimedia Tools and Applications
- Revisiting convolutional neural network on graphs with polynomial approximations of Laplace–Beltrami spectral filteringShih-Gu Huang, Moo Kwon Chung, Anqi Qiu, Alzheimer’s Disease Neuroimaging Initiative · 2021 · Neural Computing and Applications
- Projection-Based Point Convolution for Efficient Point Cloud SegmentationPyunghwan Ahn, Juyoung Yang, Eojindl Yi, Chan-Ho Lee, Junmo Kim · 2022 · IEEE Access
- Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and SegmentationXiao-Juan Li, Jie Yang, Fang‐Lue Zhang · 2022 · Lecture notes in computer science
- Learning Material-Aware Local Descriptors for 3D ShapesHubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balázs Kovács, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala · 2018 · International Conference on 3D Vision (3DV)
- Joint Global and Dynamic Pseudo Labeling for Semi-Supervised Point Cloud Sequence SegmentationJinxian Liu, Ye Chen, Bingbing Ni, Zhenbo Yu · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
- Structure-Aware Convolution for 3D Point Cloud Classification and SegmentationLei Wang, Yuxuan Liu, Shenman Zhang, Jixing Yan, Pengjie Tao · 2020 · Remote Sensing
- Point Cloud Processing via Recurrent Set EncodingPengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
- SAFIT: Segmentation-Aware Scene Flow with Improved TransformerYukang Shi, Kaisheng Ma · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Defect focused Harris3D & boundary fine-tuning optimized region growing: Lithium battery pole piece defect segmentationRuijie Ma, Chen Li, Yibo Xing, Siyao Wang, Rui Ma, Feng Feng, Xiang Qian, Xiaohao Wang, Xinghui Li · 2024 · Measurement
- Explaining the PointNet: What Has Been Learned Inside the PointNet?Binbin Zhang, Shikun Huang, Wen Shen, Zhihua Wei · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Generating 3D Faces using Multi‐column Graph Convolutional NetworksKun Li, Jingying Liu, Yu‐Kun Lai, Jingyu Yang · 2019 · Computer Graphics Forum
- SCMS-Net: Self-Supervised Clustering-Based 3D Meshes Segmentation NetworkJiao Xue, Yonggang Chen, Xiaohui Yang · 2023 · Computer-Aided Design
- Revisiting the medial axis for planar shape decompositionNikos Papanelopoulos, Yannis Avrithis, Stefanos Kollias · 2018 · Computer Vision and Image Understanding
- AttPNet: Attention-Based Deep Neural Network for 3D Point Set AnalysisYufeng Yang, Yixiao Ma, Jing Zhang, Xin Gao, Min Xu · 2020 · Sensors
- Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformationChiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner · 2019 · arXiv (Cornell University)
- Powerset Convolutional Neural NetworksChris Wendler, Dan Alistarh, Markus Püschel · 2019 · arXiv (Cornell University)
- Neural Graph Embedding Methods for Natural Language ProcessingShikhar Vashishth · 2019 · arXiv (Cornell University)
- MeT: A graph transformer for semantic segmentation of 3D meshesGiuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato · 2023 · Computer Vision and Image Understanding
- Learning the Geodesic Embedding with Graph Neural NetworksBo Pang, Zhongtian Zheng, Guoping Wang, Peng‐Shuai Wang · 2023 · ACM Transactions on Graphics
- Scene point cloud understanding and reconstruction technologies in 3D spaceJingyu Gong, Yujing Lou, Fengqi Liu, Zhiwei Zhang, Haoming Chen, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma · 2023 · Journal of Image and Graphics
- IPAD: Iterative pruning with activation deviation for sclera biometricsMatej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc · 2023 · Journal of King Saud University - Computer and Information Sciences
- Weight prediction of pork cuts and tissue composition using spectral graph waveletMajid Masoumi, Marcel Marcoux, Laurence Maignel, Candido Pomar · 2021 · Journal of Food Engineering
- Learning Discriminative and Generative Shape Embeddings for Three-Dimensional Shape RetrievalCheng Xu, Biao Leng, Bo Chen, Cheng Zhang, Xiaocheng Zhou · 2019 · IEEE Transactions on Multimedia
- Multiscale Receptive Fields Graph Attention Network for Point Cloud ClassificationXian Li, Li-Yan Wang, Lu Jian · 2021 · Complexity
- A Variational-Sequential Graph Autoencoder for Neural Architecture Performance PredictionDavid Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper · 2019 · arXiv (Cornell University)
- Physics-Encoded Graph Neural Networks for Deformation Prediction under ContactMahdi Saleh, Michael Sommersperger, Nassir Navab, Federico Tombari · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- KeypointDETR: An End-to-End 3D Keypoint DetectorHairong Jin, Yuefan Shen, Jianwen Lou, Kun Zhou, Youyi Zheng · 2024 · Lecture notes in computer science
- A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape MatchingShanfeng Hu, Hubert P. H. Shum, Nauman Aslam, Frederick W. B. Li, Xiaohui Liang · 2019 · IEEE Transactions on Multimedia
- Neural Architecture Performance Prediction Using Graph Neural NetworksJovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper · 2021 · Lecture notes in computer science
- HeterSkinNetXiaoyu Pan, Jiancong Huang, Jiaming Mai, He Wang, Honglin Li, Tongkui Su, Wenjun Wang, Xiaogang Jin · 2021 · Proceedings of the ACM on Computer Graphics and Interactive Techniques
- Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape RetrievalCheng Xu, Biao Leng, Cheng Zhang, Xiaochen Zhou · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
- ENHANCING GEOMETRIC DEEP LEARNING VIA GRAPH FILTER DECONVOLUTIONJingkang Yang, Santiago Segarra · 2018 · IEEE Global Conference on Signal and Information Processing
- VoxRec: Hybrid Convolutional Neural Network for Active 3D Object RecognitionAhmad Karambakhsh, Bin Sheng, Ping Li, Po Yang, Younhyun Jung, Dagan D. Feng · 2020 · IEEE Access
- Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical SurveyRim Trabelsi, Redouane Khemmar, Benoît Decoux, Jean-Yves Ertaud, Rémi Boutteau · 2022 · Sensors
- CTpoint: A novel local and global features extractor for point cloudShangwei Guo, Jun Li, Zhengchao Lai, Shaokun Han · 2022 · Neurocomputing
- A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape CollectionsDavid Solomon George, Xianghua Xie, Yu‐Kun Lai, Gary K.L. Tam · 2021 · Computer-Aided Design
- NormalNet: Learning based Guided Normal Filtering for Mesh Denoising.Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan B, Debin Zhao · 2019 · arXiv (Cornell University)
- Geometric Deep Learning for Multi-Object Tracking: A Brief ReviewZolbayar Shagdar, Mohib Ullah, Habib Ullah, Faouzi Alaya Cheikh · 2021 · European Workshop on Visual Information Processing
- Exploiting Structured CNNs for Semantic Segmentation of Unstructured Point Clouds from LiDAR SensorMuhammad Musa Ibrahim, Naveed Akhtar, Khalil Ullah, Ajmal Saeed Mian · 2021 · Remote Sensing
- Learning isometry-invariant representations for point cloud analysisXiao Na Sun, Yang Huang, Zhouhui Lian · 2022 · Pattern Recognition
- EdgeNet: Deep metric learning for 3D shapesMingjia Chen, Qian-Fang Zou, Changbo Wang, Ligang Liu · 2019 · Computer Aided Geometric Design
- WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decompositionMarco Agus, Enrico Gobbetti, Giovanni Pintore, Corrado Calì, Jens Schneider · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Mesh Convolution With Continuous Filters for 3-D Surface ParsingHuan Lei, Naveed Akhtar, Mubarak Shah, Ajmal Saeed Mian · 2023 · IEEE Transactions on Neural Networks and Learning Systems
- DDSL: Deep Differentiable Simplex Layer for Learning Geometric SignalsChiyu Max Jiang, Dana Lynn Ona-Lansigan Lavacot, Philip Marcus, Matthias Nießner · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Rotation-Invariant Point Convolution With Multiple Equivariant AlignmentsHugues Thomas · 2020 · International Conference on 3D Vision (3DV)
- Geometric Granularity Aware Pixel-to-MeshYue Shi, Bingbing Ni, Jinxian Liu, Dingyi Rong, Ye Qian, Wenjun Zhang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Automatic Schelling Point Detection From MeshesGeng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao · 2022 · IEEE Transactions on Visualization and Computer Graphics
- WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-awareYiping Chen, Zhipeng Luo, Wen Li, Haojia Lin, Abdul Nurunnabi, Yaojin Lin, Cheng Wang, Xiao-Ping Steven Zhang, Jonathan Li · 2022 · International Journal of Applied Earth Observation and Geoinformation
- Distinction of 3D Objects and Scenes via Classification Network and Markov Random FieldRan Song, Yonghuai Liu, Paul L. Rosin · 2018 · IEEE Transactions on Visualization and Computer Graphics
- CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss.Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang · 2019 · arXiv (Cornell University)
- Revisiting 2D Convolutional Neural Networks for Graph-Based ApplicationsYecheng Lyu, Xinming Huang, Ziming Zhang · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Orientation-Encoding CNN for Point Cloud Classification and SegmentationHongbin Lin, Zheng Wu, Xiuping Peng · 2021 · Machine Learning and Knowledge Extraction
- ProbNet: Bayesian deep neural network for point cloud analysisXianyu Wang, Ke Zhang, Haoyu Li, Hua Luo, Jingyu Wang · 2022 · Computers & Graphics
- Sequence Generation Completion Method and Resolution Scaling Network for Point Cloud CompletionJiabo Xu, Yirui Zhang, Yanni Zou, Peter Xiaoping Liu · 2024 · IEEE Transactions on Geoscience and Remote Sensing
- 3D Deep Learning for 3D Printing of Tooth ModelYiwen Liu, Xiuqin Shang, Zhen Shen, Bin Hu, Zhihai Wang, Gang Xiong · 2019 · IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)
- Fast vertex-based graph convolutional neural network and its application to brain imagesChaoqiang Liu, Hui Ji, Anqi Qiu · 2021 · Neurocomputing
- Feature interpolation convolution for point cloud analysisJie Zhang, Jian Liu, Xiuping Liu, Wei Jiang, Junjie Cao, Kewei Tang · 2021 · Computers & Graphics
- UprightRL: Upright Orientation Estimation of 3D Shapes via Reinforcement LearningLuanmin Chen, Juzhan Xu, Chuan Wang, Haibin Huang, Hui Fei Huang, Ruizhen Hu · 2021 · Computer Graphics Forum
- Computer Vision with 3D Point Cloud Data: Methods, Datasets and ChallengesAmila Akagić, Senka Krivić, Harun Dizdar, Jasmin Velagić · 2022 · International Conference on Information, Communication and Automation Technologies (ICAT)
- Separable Self-Attention Mechanism for Point Cloud Local and Global Feature ModelingFan Wang, Xiaoli Wang, Dan Lv, Lumei Zhou, Gang Shi · 2022 · IEEE Access
- ELF-Nets: Deep Learning on Point Clouds Using Extended Laplacian FilterSeon-Ho Lee, Hanul Kim, Chang‐Su Kim · 2019 · IEEE Access
- Revisiting spectral clustering for near-convex decomposition of 2D shapeZhiyang Li, Jia Wen Hu, Miloš Stojmenović, Zhaobin Liu, Weijiang Liu · 2020 · Pattern Recognition
- A Fragment Fracture Surface Segmentation Method Based on Learning of Local Geometric Features on Margins Used for Automatic Utensil ReassemblyBin Liu, Mingzhe Wang, Xiaolei Niu, Shengfa Wang, Song Zhang, Jianxin Zhang · 2020 · Computer-Aided Design
- LGCPNet : Local-global combined point-based network for shape segmentationBoliang Guan, Hanhui Li, Fan Zhou, Shujin Lin, Ruomei Wang · 2021 · Computers & Graphics
- Command-driven Articulated Object Understanding and ManipulationRuihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi‐Wing Fu, Jiaya Jia · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape AnalysisRuobing Huang, Michael Suttie, Julia Alison Noble · 2019 · Lecture notes in computer science
- Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion NetworksZhiyong Dou, Haotian Cui, Zhang, Lin, Bo Wang · 2020 · arXiv (Cornell University)
- HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds ProcessingJisheng Dang, Jun Yang · 2021 · Lecture notes in computer science
- Spatiotemporal Exogenous Variables Enhanced Model for Traffic Flow PredictionChengxiang Dong, Xiaoliang Feng, Yongchao Wang, Xin Jiang Wei · 2023 · IEEE Access
- MeshNet-SP: A Semantic Urban 3D Mesh Segmentation Network with Sparse PriorGuangyun Zhang, Rongting Zhang · 2023 · Remote Sensing
- Reference Grid-assisted Network for 3D Point Signature Learning from Point CloudsJing Zhu, Yi Fang · 2020 · IEEE Winter Conference on Applications of Computer Vision
- Dynamic Attention Graph Convolution Neural Network of Point Cloud Segmentation for Defect DetectionYumeng Li, Ruixun Zhang, Huichao Li, Xiuli Shao · 2020 · International Conference on Artificial Intelligence and Information Systems (ICAIIS)
- Variational Autoencoders for Localized Mesh Deformation Component AnalysisQingyang Tan, Lingxiao Zhang, Jie Yang, Yu‐Kun Lai, Lin Gao · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point CloudsMehak Sheikh, Muhammad Adeel Asghar, Ruqia Bibi, Muhammad Noman Malik, Mohammad Shorfuzzaman, Raja Majid Mehmood, Sun‐Hee Kim · 2022 · Sensors