ECCV2020点群系リスト

• ECCV EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection. [code][Detection]
• [ECCV] 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection. [code][Detection]
• [ECCV] GRNet: Gridding Residual Network for Dense Point Cloud Completion. [code][Completion]
• [ECCV] A Closer Look at Local Aggregation Operators in Point Cloud Analysis. [pytorch/tensorflow][Analysis.]
• [ECCV] Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. [Detection.]
• [ECCV] H3DNet: 3D Object Detection Using Hybrid Geometric Primitives. [pytorch][Detection.]
• [ECCV] Quaternion Equivariant Capsule Networks for 3D Point Clouds. [Classification]
• [ECCV] Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. [Interpolation]
• [ECCV] PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation. [Flow]
• [ECCV] H3DNet: 3D Object Detection Using Hybrid Geometric Primitives. [pytorch][Detection.]
• [ECCV] ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. [Fitting]
• [ECCV] Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. [code][Learning]
• [ECCV] DPDist : Comparing Point Clouds Using Deep Point Cloud Distance. [Comparing]
• [ECCV] SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds. [code][Detection]
• [ECCV] PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling. [Upsampling]
• [ECCV] AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds. [Perturbations]
• [ECCV] Learning Graph-Convolutional Representations for Point Cloud Denoising. [Denoising]
• [ECCV] Detail Preserved Point Cloud Completion via Separated Feature Aggregation. [tensorflow][Completion]
• [ECCV] Progressive Point Cloud Deconvolution Generation Network. [code][Generation]
• [ECCV] JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds. [code][Segmentation]
• [ECCV] Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation. [pytorch][Pose]
• [ECCV] Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes. [Correspondence]
• [ECCV] Pillar-based Object Detection for Autonomous Driving. [tensorflow][Detection]
• [ECCV] DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. [pytorch][Localization]
• [ECCV] Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance. [Meshing]
• [ECCV] Discrete Point Flow Networks for Efficient Point Cloud Generation. [Generation]
• [ECCV] PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. [Unsupervised,Understanding]
• [ECCV] Points2Surf: Learning Implicit Surfaces from Point Cloud Patches. [Surfaces]
• [ECCV] CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. [Fitting]
• [ECCV] Weakly Supervised 3D Object Detection from Lidar Point Cloud. [Detection]
• [ECCV] Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds. [Segmentation]
• [ECCV] Virtual Multi-view Fusion for 3D Semantic Segmentation. [Segmentation]
• [ECCV] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. [Segmentation]