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View article: Gated Attention-Augmented Double U-Net for White Blood Cell Segmentation
Gated Attention-Augmented Double U-Net for White Blood Cell Segmentation Open
Segmentation of white blood cells is critical for a wide range of applications. It aims to identify and isolate individual white blood cells from medical images, enabling accurate diagnosis and monitoring of diseases. In the last decade, m…
View article: LoLA-SpecViT: Local attention SwiGLU vision transformer with LoRA for hyperspectral imaging
LoLA-SpecViT: Local attention SwiGLU vision transformer with LoRA for hyperspectral imaging Open
View article: Explainable deepfake detection across different modalities: An overview of methods and challenges
Explainable deepfake detection across different modalities: An overview of methods and challenges Open
View article: Oncometabolite signatures from tumor-stroma crosstalk as potential non-invasive biomarkers
Oncometabolite signatures from tumor-stroma crosstalk as potential non-invasive biomarkers Open
Here, we show, in vitro, predominant support of patient-specific tumor associated fibroblasts (TAFs) isolated from non-metastatic colorectal adenocarcinomas on cancer cell proliferation, whereas TAFs isolated from metastatic adenocarcinoma…
View article: C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection
C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection Open
Fine-grained object detection in challenging visual domains, such as vehicle damage assessment, presents a formidable challenge even for human experts to resolve reliably. While DiffusionDet has advanced the state-of-the-art through condit…
View article: CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning
CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning Open
Islamic inheritance law (Ilm al-Mawarith) requires precise identification of heirs and calculation of shares, which poses a challenge for AI. In this paper, we present a lightweight framework for solving multiple-choice inheritance questio…
View article: Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification
Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification Open
Art style classification remains a formidable challenge in computational aesthetics due to the scarcity of expertly labeled datasets and the intricate, often nonlinear interplay of stylistic elements. While recent dual-teacher self-supervi…
View article: Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging
Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging Open
International audience
View article: Mamba Adaptive Anomaly Transformer with association discrepancy for time series
Mamba Adaptive Anomaly Transformer with association discrepancy for time series Open
International audience
View article: Markerless Stride Length estimation in Athletic using Pose Estimation with monocular vision
Markerless Stride Length estimation in Athletic using Pose Estimation with monocular vision Open
Performance measures such as stride length in athletics and the pace of runners can be estimated using different tricks such as measuring the number of steps divided by the running length or helping with markers printed on the track. Monit…
View article: AI‐Based Autonomous Sailboat Navigation: A Review
AI‐Based Autonomous Sailboat Navigation: A Review Open
This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sour…
View article: Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach
Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach Open
View article: Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging
Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Open
As one of the most widely cultivated and consumed crops, wheat is essential to global food security. However, wheat production is increasingly challenged by pests, diseases, climate change, and water scarcity, threatening yields. Tradition…
View article: Demobias: an Empirical Study to Trace Demographic Biases in Vision Foundation Models
Demobias: an Empirical Study to Trace Demographic Biases in Vision Foundation Models Open
Large Vision Language Models (LVLMs) have demonstrated remarkable capabilities across various downstream tasks, including biometric face recognition (FR) with description. However, demographic biases remain a critical concern in FR, as the…
View article: An Innovative IoT and Edge Intelligence Framework for Monitoring Elderly People Using Anomaly Detection on Data from Non-Wearable Sensors
An Innovative IoT and Edge Intelligence Framework for Monitoring Elderly People Using Anomaly Detection on Data from Non-Wearable Sensors Open
The aging global population requires innovative remote monitoring systems to assist doctors and caregivers in assessing the health of elderly patients. Doctors often lack access to continuous behavioral data, making it difficult to detect …
View article: Mamba Adaptive Anomaly Transformer with association discrepancy for time series
Mamba Adaptive Anomaly Transformer with association discrepancy for time series Open
Anomaly detection in time series is essential for industrial monitoring and environmental sensing, yet distinguishing anomalies from complex patterns remains challenging. Existing methods like the Anomaly Transformer and DCdetector have pr…
View article: Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence
Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence Open
Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. This reluctance is primarily due to the lack of transparency and explaina…
View article: Mamba Adaptive Anomaly Transformer with Association Discrepancy for Time Series
Mamba Adaptive Anomaly Transformer with Association Discrepancy for Time Series Open
View article: Can Vision Transformers with ResNet’s Global Features Fairly Authenticate Demographic Faces?
Can Vision Transformers with ResNet’s Global Features Fairly Authenticate Demographic Faces? Open
View article: C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection
C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection Open
View article: CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning
CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning Open
View article: Boosting house price estimations with Multi-Head Gated Attention
Boosting house price estimations with Multi-Head Gated Attention Open
View article: Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach Open
During the process of classifying Hyperspectral Image (HSI), every pixel sample is categorized under a land-cover type. CNN-based techniques for HSI classification have notably advanced the field by their adept feature representation capab…
View article: Integrating microwave reflectometry and deep learning imaging for in-vivo skin cancer diagnostics
Integrating microwave reflectometry and deep learning imaging for in-vivo skin cancer diagnostics Open
Skin cancer is a major global health concern, with rising incidence rates. However, current diagnostic methods often lack objectivity, speed, and non-invasiveness. To overcome this limitation, this work proposes a novel approach combining …
View article: Boosting House Price Estimations with Multi-Head Gated Attention
Boosting House Price Estimations with Multi-Head Gated Attention Open
Evaluating house prices is crucial for various stakeholders, including homeowners, investors, and policymakers. However, traditional spatial interpolation methods have limitations in capturing the complex spatial relationships that affect …
View article: D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images
D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images Open
Over the past two decades, machine analysis of medical imaging has advanced rapidly, opening up significant potential for several important medical applications. As complicated diseases increase and the number of cases rises, the role of m…
View article: D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images Open
Over the past two decades, machine analysis of medical imaging has advanced rapidly, opening up significant potential for several important medical applications. As complicated diseases increase and the number of cases rises, the role of m…
View article: Deep learning techniques for hyperspectral image analysis in agriculture: A review
Deep learning techniques for hyperspectral image analysis in agriculture: A review Open
In recent years, there has been a growing emphasis on assessing and ensuring the quality of horticultural and agricultural produce. Traditional methods involving field measurements, investigations, and statistical analyses are labour-inten…
View article: COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge Open
COVID-19 analysis from medical imaging is an important task that has been intensively studied in the last years due to the spread of the COVID-19 pandemic. In fact, medical imaging has often been used as a complementary or main tool to rec…
View article: Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma
Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma Open
Colorectal cancer is one of the most lethal cancers because of late diagnosis and challenges in the selection of therapy options. The histopathological diagnosis of colon adenocarcinoma is hindered by poor reproducibility and a lack of sta…