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05/04/2023
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
3D scene flow estimation aims to estimate point-wise motions between two...
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10/11/2022
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation
Due to the few annotated labels of 3D point clouds, how to learn discrim...
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09/14/2022
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking
Learning robust feature matching between the template and search area is...
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08/09/2022
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching
Unsupervised domain adaptation for point cloud semantic segmentation has...
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07/25/2022
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
Contrastive learning has shown great promise in the field of graph repre...
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07/25/2022
3D Siamese Transformer Network for Single Object Tracking on Point Clouds
Siamese network based trackers formulate 3D single object tracking as cr...
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07/25/2022
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Existing self-supervised monocular depth estimation methods can get rid ...
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02/24/2022
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
Sketch-based 3D shape retrieval is a challenging task due to the large d...
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02/23/2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
Unsupervised point cloud registration algorithm usually suffers from the...
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11/08/2021
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
3D object tracking in point clouds is still a challenging problem due to...
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08/01/2021
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
Point clouds obtained from 3D sensors are usually sparse. Existing metho...
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04/16/2021
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Point cloud semantic segmentation is a crucial task in 3D scene understa...
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01/07/2021
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Point cloud based retrieval for place recognition is still a challenging...
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07/30/2020
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
In this paper, we propose a cascaded non-local neural network for point ...
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07/10/2020
Progressive Point Cloud Deconvolution Generation Network
In this paper, we propose an effective point cloud generation method, wh...
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12/07/2017
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
Understanding shadows from a single image spontaneously derives into two...
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12/06/2017