58 citations · 181 across the 29 of their papers we have counts for
17 papers · 1 filter
Segment-Level Risk Discovery in Online Handwriting for Alzheimer's Disease Detection
Changqing Gong, Huafeng Qin, Mounîm A. El-Yacoubi
Online handwriting provides a non-invasive and low-cost behavioral biomarker for Alzheimer's disease (AD) detection, as it reflects both cognitive planning and fine motor control.…
Cross-Task Generalization in Handwriting-Based Alzheimer's Screening via Vision Language Adaptation
Changqing Gong, Huafeng Qin, Mounim A. El-Yacoubi
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder for which early detection is critical. Handwriting, which can be disrupted by subtle motor and cognitive decline,…
MS-Mix: Sentiment-Guided Adaptive Augmentation for Multimodal Sentiment Analysis
Hongyu Zhu, Lin Chen, Xin Jin +1
Multimodal Sentiment Analysis (MSA) integrates complementary features from text, video, and audio for robust emotion understanding in human interactions. However, models suffer fro…
Frame Sampling Strategies Matter: A Benchmark for small vision language models
Marija Brkic, Anas Filali Razzouki, Yannis Tevissen +2
Comparing vision language models on videos is particularly complex, as the performances is jointly determined by the model's visual representation capacity and the frame-sampling s…
Polar Coordinate-Based 2D Pose Prior with Neural Distance Field
Qi Gan, Sao Mai Nguyen, Eric Fenaux +2
Human pose capture is essential for sports analysis, enabling precise evaluation of athletes' movements. While deep learning-based human pose estimation (HPE) models from RGB video…
Hybrid Transformer for Early Alzheimer's Detection: Integration of Handwriting-Based 2D Images and 1D Signal Features
Changqing Gong, Huafeng Qin, Mounîm A. El-Yacoubi
Alzheimer's Disease (AD) is a prevalent neurodegenerative condition where early detection is vital. Handwriting, often affected early in AD, offers a non-invasive and cost-effectiv…
Relax DARTS: Relaxing the Constraints of Differentiable Architecture Search for Eye Movement Recognition
Hongyu Zhu, Xin Jin, Hongchao Liao +3
Eye movement biometrics is a secure and innovative identification method. Deep learning methods have shown good performance, but their network architecture relies on manual design…
Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition
Huafeng Qin, Yuming Fu, Jing Chen +3
Due to the advantages such as high security, high privacy, and liveness recognition, vein recognition has been received more and more attention in past years. Recently, deep learni…
EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
Huafeng Qin, Hongyu Zhu, Xin Jin +3
Eye movement biometrics has received increasing attention thanks to its highly secure identification. Although deep learning (DL) models have shown success in eye movement recognit…
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification
Huafeng Qin, Yuming Fu, Huiyan Zhang +4
Deep neural networks have recently achieved promising performance in the vein recognition task and have shown an increasing application trend, however, they are prone to adversaria…
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin, Xin Jin, Hongyu Zhu +3
Mixup data augmentation approaches have been applied for various tasks of deep learning to improve the generalization ability of deep neural networks. Some existing approaches CutM…
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin, Hongyu Zhu, Mounîm A. El Yacoubi +4
As a representative of a new generation of biometrics, vein identification technology offers a high level of security and convenience.Convolutional neural networks (CNNs), a promin…
Adversarial Masking Contrastive Learning for vein recognition
Huafeng Qin, Yiquan Wu, Mounim A. El-Yacoubi +2
Vein recognition has received increasing attention due to its high security and privacy. Recently, deep neural networks such as Convolutional neural networks (CNN) and Transformers…
EmMixformer: Mix transformer for eye movement recognition
Huafeng Qin, Hongyu Zhu, Xin Jin +3
Eye movement (EM) is a new highly secure biometric behavioral modality that has received increasing attention in recent years. Although deep neural networks, such as convolutional…
Adversarial AutoMixup
Huafeng Qin, Xin Jin, Yun Jiang +2
Data mixing augmentation has been widely applied to improve the generalization ability of deep neural networks. Recently, offline data mixing augmentation, e.g. handcrafted and sal…
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach
Cristina Palmero, Mikel deVelasco, Mohamed Amine Hmani +18
The EMPATHIC project aimed to design an emotionally expressive virtual coach capable of engaging healthy seniors to improve well-being and promote independent aging. One of the cor…
Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
Deep learning has yet to revolutionize general practices in healthcare, despite promising results for some specific tasks. This is partly due to data being in insufficient quantiti…