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Angelo Genovese

Assistant Professor

Università degli Studi di Torino

Italy

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About

Angelo Genovese is an Assistant Professor at Università degli Studi di Milano in Italy. His research focuses on areas including industrial container marking, IoT DDoS attack detection, remote sensing change detection, and metal surface defect recognition, as demonstrated in his recent publications. He is engaged in advancing methodologies such as vision-language transformer frameworks and adaptive learning techniques to address emerging challenges in these fields.

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Collaborators (4)

Angelo Alberto MESSINA

Scientific Expert

Ministero dell’Istruzione, dell’Università e della Ricerca

ITALY

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Konstantinos Plataniotis

Professor

University of Toronto

CANADA

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Ruggero Donida Labati

Assistant Professor

Università degli Studi di Torino

ITALY

View details

Vincenzo Piuri

Professor

Università degli Studi di Torino

ITALY

View details

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Angelo Genovese

Research Interests

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About

Articles (43)

Granulo-10K: A Large-Scale Benchmark Dataset for Multiple-View Industrial Granulometry

DLGCNet: Multimodal remote sensing semantic segmentation via dual diagonal low-rank adaptation and graph convolutional feature fusion

Bidirectional Interactive Multi-Scale Aggregation Network for Vehicle Detection in Urban Traffic

On the relevance of patch-based extraction methods for monocular depth estimation

Diffusion-augmented direct classification: A few-shot learning framework for Synthetic Aperture Radar image automatic target recognition

A Frequency-Coupled Latent Space Facilitates Synthetic-to-Measured SAR Image Translation

DCA-YOLO: A Dynamic Cross-Attention Network for Small Vehicle Detection in UAV Aerial Imagery

Useg-PanoDepth:Unified 360° Depth Estimation for Indoor and Outdoor Scenes with Semantic Assistance

Cascaded Semantic-Guided Network for Surface Anomaly Localization in Steel-Cased Batteries

Deep Learning for DDoS Attack Detection in IoT: A Survey

Deep Radar Perception Network With RTK Supervision for Slow-Moving UAV Detection

Fine-Grained Hierarchical Perception Siamese Network for Battery Surface Defect Detection

MSTAF-CDN: Multiscale Temporal Attention Fusion Network for Remote Sensing Change Detection

SICNet: Structured Integrated Cascade Network for UAV-Based Vehicle Detection

Self-Supervised CLIP-Guided for Few-Shot Industrial Anomaly Detection

Dimension Decoupling Vision-Language Transformer for industrial container marking and natural scene text spotting

FELACS: Federated learning with adaptive client selection for IoT DDoS attack detection

AEGL-Net: Adaptive Multiscale Global–Local Feature Fusion Network for Remote Sensing Change Detection

Bidirectional Feature Pyramid Siamese Anomaly Detection Network With Cellular Anomaly Generation for Container Marking

CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition

DS2A-Former: Battery Surface Defect Segmentation via Dual-Stream Spatial Attention Transformer Network

GMTNet: Dense Object Detection via Global Dynamically Matching Transformer Network

Remote Sensing Change Detection via Centralized Low-High Rank Representation

Spatial Reconstruction and Joint Training in Transformer Network for Cross-Domain Remote Sensing Images Semantic Segmentation

OneN: Guided attention for natively-explainable anomaly detection

FLIFRA: Hybrid data poisoning attack detection in federated learning for IoT security

TransferEdge: Transfer learning approach to detect evolving DDoS threats in Edge-IIoT

Robust DDoS attack detection with adaptive transfer learning

DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation

DGMA2-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection

Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset

Large-Scale High-Altitude UAV-Based Vehicle Detection via Pyramid Dual Pooling Attention Path Aggregation Network

Learning to Count Arbitrary Industrial Manufacturing Workpieces

DL4ALL: Multi-Task Cross-Dataset Transfer Learning for Acute Lymphoblastic Leukemia Detection

Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization

Antennan Parameter Measurement Network with Dual Attention and Focus Loss Using UAV

Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance

Flexible and Diverse Contrastive Learning for Steel Surface Defect Recognition With Few Labeled Samples

Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules

A Survey of Unsupervised Generative Models for Exploratory Data Analysis and Representation Learning

Iris Deidentification With High Visual Realism for Privacy Protection on Websites and Social Networks

A Comprehensive Survey of Databases and Deep Learning Methods for Cybersecurity and Intrusion Detection Systems

A Decision Support System for Wind Power Production

Collaborators (4)

Angelo Alberto MESSINA

Konstantinos Plataniotis

Ruggero Donida Labati

Vincenzo Piuri

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