Search Results for author: Dahong Qian

Found 19 papers, 7 papers with code

Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy

no code implementations18 Jan 2024 Jun Wang, Chengfeng Zhou, Zhaoyan Ming, Lina Wei, Xudong Jiang, Dahong Qian

One of the fundamental challenges in microscopy (MS) image analysis is instance segmentation (IS), particularly when segmenting cluster regions where multiple objects of varying sizes and shapes may be connected or even overlapped in arbitrary orientations.

Instance Segmentation Semantic Segmentation

Supervised Contrastive Learning for Fine-grained Chromosome Recognition

no code implementations12 Dec 2023 Ruijia Chang, Suncheng Xiang, Chengyu Zhou, Kui Su, Dahong Qian, Jun Wang

Chromosome recognition is an essential task in karyotyping, which plays a vital role in birth defect diagnosis and biomedical research.

Contrastive Learning

Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning

no code implementations5 Dec 2023 Chen Liu, Can Han, Chengfeng Zhou, Crystal Cai, Suncheng Xiang, Hualiang Ni, Dahong Qian

While there has been significant progress in gesture recognition based on surface electromyography (sEMG), accurate recognition of predefined gestures only within a closed set is still inadequate in practice.

Gesture Recognition Open Set Learning

Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification

no code implementations2 Aug 2023 Suncheng Xiang, Qingzhong Chen, Shilun Cai, Chengfeng Zhou, Crystal Cai, Sijia Du, Zhengjie Zhang, Yunshi Zhong, Dahong Qian

Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras and plays an important role in the prevention and treatment of colorectal cancer in computer-aided diagnosis.

Meta-Learning Retrieval

Learning Discriminative Visual-Text Representation for Polyp Re-Identification

1 code implementation20 Jul 2023 Suncheng Xiang, Cang Liu, Sijia Du, Dahong Qian

Colonoscopic Polyp Re-Identification aims to match a specific polyp in a large gallery with different cameras and views, which plays a key role for the prevention and treatment of colorectal cancer in the computer-aided diagnosis.

Clustering Contrastive Learning +1

Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching

no code implementations29 Apr 2023 Yesheng Zhang, Xu Zhao, Dahong Qian

This paper, thus, pays attention to the search space and proposes to set the initial search space for point matching as the matched image areas containing prominent semantic, named semantic area matches.

Pose Estimation

Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification

1 code implementation19 Apr 2023 Suncheng Xiang, Jingsheng Gao, Mengyuan Guan, Jiacheng Ruan, Chengfeng Zhou, Ting Liu, Dahong Qian, Yuzhuo Fu

In this paper, we propose a Multi-Modal Equivalent Transformer called MMET for more robust visual-semantic embedding learning on visual, textual and visual-textual tasks respectively.

Generalizable Person Re-identification Representation Learning

Adaptive Context Selection for Polyp Segmentation

1 code implementation12 Jan 2023 Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu

To tackle these issues, we propose an adaptive context selection based encoder-decoder framework which is composed of Local Context Attention (LCA) module, Global Context Module (GCM) and Adaptive Selection Module (ASM).

Segmentation

Deep Multimodal Fusion for Generalizable Person Re-identification

1 code implementation2 Nov 2022 Suncheng Xiang, Hao Chen, Wei Ran, Zefang Yu, Ting Liu, Dahong Qian, Yuzhuo Fu

Person re-identification plays a significant role in realistic scenarios due to its various applications in public security and video surveillance.

Domain Generalization Generalizable Person Re-identification +2

SubFace: Learning with Softmax Approximation for Face Recognition

no code implementations24 Aug 2022 Hongwei Xu, Suncheng Xiang, Dahong Qian

The softmax-based loss functions and its variants (e. g., cosface, sphereface, and arcface) significantly improve the face recognition performance in wild unconstrained scenes.

Face Recognition

A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images

1 code implementation7 Jul 2022 Chengfeng Zhou, Songchang Chen, Chenming Xu, Jun Wang, Feng Liu, Chun Zhang, Juan Ye, Hefeng Huang, Dahong Qian

In this study, we present a novel normalization technique called window normalization (WIN) to improve the model generalization on heterogeneous medical images, which is a simple yet effective alternative to existing normalization methods.

Breast Cancer Detection Out-of-Distribution Generalization

Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection

1 code implementation1 Feb 2022 Yesheng Zhang, Xu Zhao, Dahong Qian

Therefore, in this paper, we propose a hybrid camera calibration framework which combines learning-based approaches with traditional methods to handle these bottlenecks.

Camera Calibration

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit

no code implementations25 Jan 2022 Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian

In order to solve these problems, our method combines the two-dimensional (2-D) CNN-based real-time object detector network with spatiotemporal information.

Specificity SSIM +1

Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images

no code implementations7 May 2021 Yiming Bao, Jun Wang, Tong Li, Linyan Wang, Jianwei Xu, Juan Ye, Dahong Qian

Specifically, the encoder of a DL model that is pre-trained on the source domain is used to initialize the encoder of a reconstruction model.

Domain Adaptation Transfer Learning

An End to End Network Architecture for Fundamental Matrix Estimation

no code implementations29 Oct 2020 Yesheng Zhang, Xu Zhao, Dahong Qian

In this paper, we present a novel end-to-end network architecture to estimate fundamental matrix directly from stereo images.

Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network

no code implementations25 Mar 2020 Hao Tung, Chao Zheng, Xinsheng Mao, Dahong Qian

Models embedded with the channel-wise attention structure always achieve better scores on sensitivity and precision than the plain Resnet models.

Classification ECG Classification +1

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