conftrace_

3d object classification

26 papers

Explore in graph

Co-occurring keywords

point cloud (1480) convolutional neural network (4226) 3d point cloud (179) geometric structure (82) point cloud classification (57) object classification (79) 3d vision (1098) self-supervised learning (3777) semantic segmentation (3186) point cloud processing (156)

Papers

BlendCLIP: Bridging Synthetic and Real Domains for Zero-Shot 3D Object Classification with Multimodal Pretraining WACV 2026
Activating Sparse Part Concepts for 3D Class Incremental Learning CVPR 2025
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection WACV 2025
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders NIPS 2024
Improving Normalization With the James-Stein Estimator WACV 2024
Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding AAAI 2024
E2PN: Efficient SE(3)-Equivariant Point Network CVPR 2023
Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations JMLR 2023
HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces CVPR 2023
Geodesic Self-Attention for 3D Point Clouds NIPS 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding CVPR 2022
Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives CVPR 2022
SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix ICCV 2021
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud AAAI 2021
Slice-sampling based 3D Object Classification ACML 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting AAAI 2021
FPConv: Learning Local Flattening for Point Convolution CVPR 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds CVPR 2020
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification IJCAI 2020
Adaptive Hierarchical Down-Sampling for Point Cloud Classification CVPR 2020
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis CVPR 2019
Octree Guided CNN With Spherical Kernels for 3D Point Clouds CVPR 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data ICCV 2019
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation NIPS 2019
Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016