Search Results for author: Huafeng Qin

Found 13 papers, 4 papers with code

Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach

1 code implementation21 Nov 2024 Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei, Huafeng Qin, Qun Song, Simon Fong, Feng Tien, Wei Luo, Juntao Gao, Zhihua Zhang, Shirley Siu

Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is critical in life-saving medical procedures.

Diagnostic Lesion Segmentation +2

EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition

no code implementations22 Sep 2024 Huafeng Qin, Hongyu Zhu, Xin Jin, Xin Yu, Mounim A. El-Yacoubi, Shuqiang Yang

First, we define a supernet and propose a global and local alternate Neural Architecture Search method to search the optimal architecture alternately with a differentiable neural architecture search.

Neural Architecture Search

A Survey on Mixup Augmentations and Beyond

1 code implementation8 Sep 2024 Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li

As Deep Neural Networks have achieved thrilling breakthroughs in the past decade, data augmentations have garnered increasing attention as regularization techniques when massive labeled data are unavailable.

Image Classification Self-Supervised Learning +1

MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification

no code implementations20 Aug 2024 Huafeng Qin, Yuming Fu, Huiyan Zhang, Mounim A. El-Yacoubi, Xinbo Gao, Qun Song, Jun Wang

At the testing stage, given an adversarial sample, the MsMemoryGAN retrieves its most relevant normal patterns in memory for the reconstruction.

Adversarial Attack Adversarial Purification

Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition

no code implementations11 Aug 2024 Huafeng Qin, Yuming Fu, Jing Chen, Mounim A. El-Yacoubi, Xinbo Gao, Feng Xi

In this paper, first, we propose a hybrid network structure named Global-local Vision Mamba (GLVM), to learn the local correlations in images explicitly and global dependencies among tokens for vein feature representation.

Mamba Neural Architecture Search

SUMix: Mixup with Semantic and Uncertain Information

2 code implementations10 Jul 2024 Huafeng Qin, Xin Jin, Hongyu Zhu, Hongchao Liao, Mounîm A. El-Yacoubi, Xinbo Gao

Mixup data augmentation approaches have been applied for various tasks of deep learning to improve the generalization ability of deep neural networks.

Data Augmentation

StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification

no code implementations21 May 2024 Xin Jin, Hongyu Zhu, Mounîm A. El Yacoubi, Haiyang Li, Hongchao Liao, Huafeng Qin, Yun Jiang

To enable CNNs to capture comprehensive feature representations from palm-vein images, we explored the effect of convolutional kernel size on the performance of palm-vein identification networks and designed LaKNet, a network leveraging large kernel convolution and gating mechanism.

Adversarial Masking Contrastive Learning for vein recognition

no code implementations16 Jan 2024 Huafeng Qin, Yiquan Wu, Mounim A. El-Yacoubi, Jun Wang, Guangxiang Yang

To overcome this problem, in this paper, we propose an adversarial masking contrastive learning (AMCL) approach, that generates challenging samples to train a more robust contrastive learning model for the downstream palm-vein recognition task, by alternatively optimizing the encoder in the contrastive learning model and a set of latent variables.

Contrastive Learning Generative Adversarial Network

EmMixformer: Mix transformer for eye movement recognition

no code implementations10 Jan 2024 Huafeng Qin, Hongyu Zhu, Xin Jin, Qun Song, Mounim A. El-Yacoubi, Xinbo Gao

To this end, we propose a mixed block consisting of three modules, transformer, attention Long short-term memory (attention LSTM), and Fourier transformer.

Adversarial AutoMixup

2 code implementations19 Dec 2023 Huafeng Qin, Xin Jin, Yun Jiang, Mounim A. El-Yacoubi, Xinbo Gao

In this paper, we propose AdAutomixup, an adversarial automatic mixup augmentation approach that generates challenging samples to train a robust classifier for image classification, by alternatively optimizing the classifier and the mixup sample generator.

Classification Image Classification

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