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20122025
most citedInter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

48 citations · 100 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CV202545 cited

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation

Qiangguo Jin, Hui Cui, Junbo Wang +7

Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…

cs.CV2025

Feature Complementation Architecture for Visual Place Recognition

Weiwei Wang, Meijia Wang, Haoyi Wang +5

Visual place recognition (VPR) plays a crucial role in robotic localization and navigation. The key challenge lies in constructing feature representations that are robust to enviro…

cs.CV2024

Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Qiangguo Jin, Jiapeng Huang, Changming Sun +8

The precise diagnosis of urinary stones is crucial for devising effective treatment strategies. The diagnostic process, however, is often complicated by the low contrast between st…

cs.CV202448 cited

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

Qiangguo Jin, Hui Cui, Changming Sun +5

Acquiring pixel-level annotations is often limited in applications such as histology studies that require domain expertise. Various semi-supervised learning approaches have been de…

cs.CV2024

A novel spatial-frequency domain network for zero-shot incremental learning

Jie Ren, Yang Zhao, Weichuan Zhang +1

Zero-shot incremental learning aims to enable the model to generalize to new classes without forgetting previously learned classes. However, the semantic gap between old and new sa…

cs.CV2023

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

Jie Ren, Wenya Yu, Jiapan Guo +2

Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second…