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3d point cloud

179 papers

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Also known as

3D PC

Co-occurring keywords

point cloud (1480) semantic segmentation (3186) 3d vision (1098) scene understanding (825) unsupervised learning (3264) self-supervised learning (3777) neural network (6616) point cloud processing (156) point cloud segmentation (90) instance segmentation (738)

Papers

Canonical Capsules: Self-Supervised Capsules in Canonical Pose NIPS 2021
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination AAAI 2021
CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating AAAI 2021
PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021
Cross-Modal Center Loss for 3D Cross-Modal Retrieval CVPR 2021
Bidirectional Projection Network for Cross Dimension Scene Understanding CVPR 2021
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation ICCV 2021
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds CVPR 2020
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 2020
Learning to Segment 3D Point Clouds in 2D Image Space CVPR 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds CVPR 2020
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds AAAI 2020
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds CVPR 2020
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation CVPR 2020
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels CVPR 2020
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation CVPR 2020
Transductive Zero-Shot Learning for 3D Point Cloud Classification WACV 2020
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes WACV 2020
Group Contextual Encoding for 3D Point Clouds NIPS 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NIPS 2020
Correspondence learning via linearly-invariant embedding NIPS 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks NIPS 2020
Global Context Reasoning for Semantic Segmentation of 3D Point Clouds WACV 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps CVPR 2020