point cloud

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting AAAI 2021 Common Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction ICCV 2021 CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds CVPR 2021 CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds ICCV 2021 Cross-Modality 3D Object Detection WACV 2021 CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing ICCV 2021 Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation CVPR 2021 DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction AAAI 2021 Deep Hybrid Self-Prior for Full 3D Mesh Generation ICCV 2021 DeepI2P: Image-to-Point Cloud Registration via Deep Classification CVPR 2021 Deep Implicit Moving Least-Squares Functions for 3D Reconstruction CVPR 2021 Deep Virtual Markers for Articulated 3D Shapes ICCV 2021 Denoise and Contrast for Category Agnostic Shape Completion CVPR 2021 Dense 3D-Reconstruction From Monocular Image Sequences for Computationally Constrained UAS WACV 2021 DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution CVPR 2021 Dynamic Plane Convolutional Occupancy Networks WACV 2021 Efficient 3D Video Engine Using Frame Redundancy WACV 2021 Equivariant Point Network for 3D Point Cloud Analysis CVPR 2021 ExMaps: Long-Term Localization in Dynamic Scenes Using Exponential Decay WACV 2021 Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis CVPR 2021 Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts CVPR 2021 Fast End-to-End Learning on Protein Surfaces CVPR 2021 FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds CVPR 2021 Few-Shot 3D Point Cloud Semantic Segmentation CVPR 2021 FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation CVPR 2021