3d deep learning

Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation AAAI 2026 CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame AAAI 2023 Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023 ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation CVPR 2022 The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution CVPR 2022 DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction WACV 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021 Superpoint Network for Point Cloud Oversegmentation ICCV 2021 Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges CVPR 2021 Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021 3DRegNet: A Deep Neural Network for 3D Point Registration CVPR 2020 Embodied Question Answering in Photorealistic Environments With Point Cloud Perception CVPR 2019 Generating 3D Adversarial Point Clouds CVPR 2019 Learning to Infer Implicit Surfaces without 3D Supervision NeurIPS 2019 PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding CVPR 2019 Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer CVPR 2019 Point-Voxel CNN for Efficient 3D Deep Learning NeurIPS 2019 Robustness of 3D Deep Learning in an Adversarial Setting CVPR 2019 Pointwise Convolutional Neural Networks CVPR 2018