activity
20212025
most citedTowards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis

76 citations · 95 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV20232 cited

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models

Shuo Wang, Yan Zhu, Xiaoyuan Luo +8

The development of artificial intelligence systems for colonoscopy analysis often necessitates expert-annotated image datasets. However, limitations in dataset size and diversity i…

cs.CV20231 cited

PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration

Mingzhi Yuan, Kexue Fu, Zhihao Li +2

Point cloud registration is a task to estimate the rigid transformation between two unaligned scans, which plays an important role in many computer vision applications. Previous le…

cs.CV20222 cited

PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration

Mingzhi Yuan, Zhihao Li, Qiuye Jin +2

Multi-instance point cloud registration is the problem of estimating multiple poses of source point cloud instances within a target point cloud. Solving this problem is challenging…

cs.CV202276 cited

Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis

Linhao Qu, Siyu Liu, Xiaoyu Liu +2

Histopathological images contain abundant phenotypic information and pathological patterns, which are the gold standards for disease diagnosis and essential for the prediction of p…

cs.CV20221 cited

Boosting Point-BERT by Multi-choice Tokens

Kexue Fu, Mingzhi Yuan, Manning Wang

Masked language modeling (MLM) has become one of the most successful self-supervised pre-training task. Inspired by its success, Point-BERT, as a pioneer work in point cloud, propo…

cs.CV202111 cited

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results

Liang Pan, Tong Wu, Zhongang Cai +26

As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…