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08/09/2023
PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration
Point cloud registration is a task to estimate the rigid transformation ...
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05/29/2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
This paper introduces the novel concept of few-shot weakly supervised le...
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02/10/2023
Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge
The recent multi-modality models have achieved great performance in many...
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11/09/2022
Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)
3D point cloud registration is a fundamental problem in computer vision ...
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07/27/2022
Point-McBert: A Multi-choice Self-supervised Framework for Point Cloud Pre-training
Masked language modeling (MLM) has become one of the most successful sel...
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04/03/2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training
Recently, the pre-training paradigm combining Transformer and masked lan...
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02/09/2022
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning
In this paper, we propose a simple and general framework for self-superv...
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12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
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11/19/2021
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
Point cloud processing is a challenging task due to its sparsity and irr...
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04/12/2021
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds
Deep neural networks have achieved promising performance in supervised p...
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03/07/2021