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 401–458 of 458

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  5. Learning multiscale spatial context for three-dimensional point cloud semantic segmentation
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  7. A Framework for a Comprehensive Conceptualization of Urban Constructs - SpatialNet and SpatialFeaturesNet for computer-aided creative urban design
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  9. DEEP-LEARNED GENERATIVE REPRESENTATIONS OF 3D SHAPE FAMILIES
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  10. Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
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    Alexandre Boulch, Gilles Puy, Renaud Marlet · 2020 · arXiv (Cornell University)
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  13. Learning Equivariant Representations
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  14. Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional Network
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  15. A convolutional neural network for teeth margin detection on 3-dimensional dental meshes
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  17. Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches
    Jing Hai Zhu, Yi Fang · 2018 · ACM International Conference on Multimedia (ACM MM)
  18. Machine learning methods for 3D object classification and segmentation
    Truc Le · 2018
  19. Semantic segmentation of pole like road furniture in mobile laser scanning data
    Fengdong Li · 2019
  20. Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
    Yecheng Lyu, Xinming Huang, Ziming Zhang · 2019 · arXiv (Cornell University)
  21. Feature Driven Learning Techniques for 3D Shape Segmentation
    David George · 2019
  22. Deep learning of spectral geometry
    Jing Hua, Jiaxi Hu, Zichun Zhong · 2019 · Elsevier eBooks
  23. Deep Graph Embeddings in Recommender Systems
    Chee Loong Soon · 2019 · TSpace (University of Toronto)
  24. Point clouds analysis with extreme learning machine and high order point CNN
    Rui Xu · 2020
  25. Point Clouds Learning Using Directed Connected Graph
    Zhuyang Xie, Bo Peng, Junzhou Chen · 2019 · International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
  26. Adaptive Surface Fitting Convolution for 3D Point Cloud Analysis
    Hezhi Cao, Yanxin Ma, Ronghui Zhan, Chao Ma, Jun Zhang · 2020 · International Conference on Automation, Control and Robotics Engineering (CACRE)
  27. 3D Shape Segmentation: A Review
    Qingjin Peng, Rui Li · 2021 · Recent Patents on Engineering
  28. Two-Stage Relation Constraint for Semantic Segmentation of Point Clouds
    Minghui Yu, Jinxian Liu, Bingbing Ni, Caiyuan Li · 2020 · International Conference on 3D Vision (3DV)
  29. Combined Auxiliary Networks and Bird’s Eye View Method for Real-Time Multicategory Object Recognition
    Zhangpeng Gong, Luansu Wei, Guoye Wang, Dongxin Xu, Chang Ge · 2021 · Mathematical Problems in Engineering
  30. Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds
    Ying Li · 2021 · UWSpace (University of Waterloo)
  31. Potential Convolution: Embedding Point Clouds into Potential Fields
    Dengsheng Chen, Haowen Deng, Li, Jun, Duo Li, Yao Duan, Kai Xu · 2021 · arXiv (Cornell University)
  32. CKConv: Learning Feature Voxelization for Point Cloud Analysis.
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  34. Geometric Encoded Feature Learning for 3D Graph Recognition
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  35. Bibliography
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  36. Deep learning architectures for 2D and 3D scene perception
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  37. Topological and geometrical joint learning for 3D graph data
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  38. A light and efficient attention model for 3D shape part-segmentation
    Weidong Shi, Zhongyi Li · 2022
  39. A Creativity Survey of Deep Clustering Applied to Images
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  40. Supervertex Sampling Network: A Geodesic Differential SLIC Approach for 3D Mesh
    Jiafu Zhuang, Pan Zeng, Wei Zhuang, Xiaoyu Guo, Peizhong Liu · 2023 · IEEE Transactions on Visualization and Computer Graphics
  41. PointHGN: Point Heterogeneous Graph Neural Network for Point Cloud Learning
    Zhiying Leng, Shun‐Cheng Wu, Frederick W. B. Li, Federico Tombari, Xiaohui Liang · 2023 · IEEE International Conference on Multimedia and Expo workshops
  42. Hq-Net: A Heatmap-Based Query Backbone for Point Cloud Understanding
    Jun Li, Shangwei Guo, Luhan Wang, Shaokun Han · 2023 · SSRN Electronic Journal
  43. Hq-Net: A Heatmap-Based Query Backbone for Point Cloud Understanding
    Jun Li, Luhan Wang, Shangwei Guo, Shaokun Han · 2023 · SSRN Electronic Journal
  44. DetailPoint: detailed feature learning on point clouds with attention mechanism
    Ying Li, Jincheng Bai, Huankun Sheng · 2023 · Machine Vision and Applications
  45. Spatial and Color Information-Based Foreign Object Attachment Detection and Device-Foreign Object Segmentation Method
    Bin Li, Quan Wang, Chao Jiang, Xiaolei Li, Chunchun Mao, Chunming Liu, Siyuan Wang, Shiying Sun, Xiaolong Hui · 2023 · China Automation Congress (CAC)
  46. A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
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  48. Keypoints Estimation on Partial Point Clouds
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  49. Scene Structure Understanding
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  50. Point Cloud Segmentation in Connection Space: Using Geo-distance for Precision Distinguish
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  51. Structures for deep learning and topology optimization of functions on 3D shapes
    Adrien Poulenard · 2020 · theses.fr (ABES)
  52. Content-aware HDR tone mapping algorithms
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  54. Real-World 3D Data Analysis : Toward Efficiency and Interpretability
    Romain Loiseau · 2023
  55. GE-PointNeXt: self-gating and ECA-Enhanced set abstraction with hybrid training strategies for point cloud segmentation
    Xianglong Xie, Xifan Yao · 2026 · Signal Image and Video Processing
  56. PointGrad: A Unified Spatially Varying Tensor Gradient Operator for Point Cloud Segmentation
    Rina Bao, Yunxin Zhao, Kannappan Palaniappan · 2026 · IEEE Transactions on Geoscience and Remote Sensing
  57. GEM-Distill: Graph Ensemble Multi-Level Distillation for MLP-Based Graph Classification
    Minghao Qin, Donghai Guan, Weiwei Yuan, Shuai Xu, Çetin Kaya Koç · 2026 · IEEE Transactions on Knowledge and Data Engineering
  58. A Lightweight Two-Stage Hybrid Framework for Segmentation and Classification of MLS LiDAR Point Clouds Using Adaptive Cylindrical Voxelization
    Mohammad Amin Faghihi, Mehran Yazdi · 2026 · IEEE Access