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20182022
most citedRobust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)

49 citations · 144 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CV2022

Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation

Shaolei Liu, Siqi Yin, Linhao Qu +1

Unsupervised domain adaptation (UDA) aims to learn a model trained on source domain and performs well on unlabeled target domain. In medical image segmentation field, most existing…

cs.CV202249 cited

Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)

Kexue Fu, Jiazheng Luo, Xiaoyuan Luo +3

3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, t…

cs.CV202240 cited

Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

Linhao Qu, Xiaoyuan Luo, Manning Wang +1

Computer-aided pathology diagnosis based on the classification of Whole Slide Image (WSI) plays an important role in clinical practice, and it is often formulated as a weakly-super…

cs.CV20223 cited

POS-BERT: Point Cloud One-Stage BERT Pre-Training

Kexue Fu, Peng Gao, ShaoLei Liu +3

Recently, the pre-training paradigm combining Transformer and masked language modeling has achieved tremendous success in NLP, images, and point clouds, such as BERT. However, dire…

cs.CV202213 cited

Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning

Kexue Fu, Peng Gao, Renrui Zhang +3

In this paper, we propose a simple and general framework for self-supervised point cloud representation learning. Human beings understand the 3D world by extracting two levels of i…

cs.CV20222 cited

TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning

Linhao Qu, Shaolei Liu, Manning Wang +4

Image fusion is a technique to integrate information from multiple source images with complementary information to improve the richness of a single image. Due to insufficient task-…