ECCV-2020-point-cloud-analysis

ECCV 2020 papers focusing on point cloud analysis

• CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. CAD reconstruction

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• Weakly Supervised 3D Object Detection from Lidar Point Cloud. object detection

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• AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds. attack

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• Learning Graph-Convolutional Representations for Point Cloud Denoising. denoising

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• Detail Preserved Point Cloud Completion via Separated Feature Aggregation. completion

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• GRNet: Gridding Residual Network for Dense Point Cloud Completion. completion

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• EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection. detection

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• 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection. detection

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• PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. representation learning

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• Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. detection

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• H3DNet: 3D Object Detection Using Hybrid Geometric Primitives. detection

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• Progressive Point Cloud Deconvolution Generation Network. generation

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• Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. segmentation

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• SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds. detection

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• DPDist : Comparing Point Clouds Using Deep Point Cloud Distance. distance

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• A Closer Look at Local Aggregation Operators in Point Cloud Analysis. classification segmentation

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• Quaternion Equivariant Capsule Networks for 3D Point Clouds. classification

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• ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. Fitting

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• PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling. upsampling

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• PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation. flow

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• Points2Surf: Learning Implicit Surfaces from Point Cloud Patches. surface reconstruction

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• Weakly-supervised 3D Shape Completion in the Wild. completion

• Discrete Point Flow Networks for Efficient Point Cloud Generation. generation

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