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21st ICIAP 2022: Lecce, Italy - Workshops - Part II
- Pier Luigi Mazzeo
, Emanuele Frontoni
Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13374, Springer 2022, ISBN 978-3-031-13323-7
Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES
- Margarita Zaleshina
A Framework for Forming Middle Distance Routes Based on Spatial Guidelines, Perceived Accessibility and Visual Cues in Smart City. 3-13 - Miguel G. San-Emeterio
A Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep Learning. 14-25 - Javier González-Villa
Decision-Support System for Safety and Security Assessment and Management in Smart Cities. 26-36 - Panagiotis Lioupis
Embedded Intelligence for Safety and Security Machine Vision Applications. 37-46 - Chiara Rucco, Antonella Longo
Supporting Energy Digital Twins with Cloud Data Spaces: An Architectural Proposal. 47-58 - Alessandro Bruno
High-Level Feature Extraction for Crowd Behaviour Analysis: A Computer Vision Approach. 59-70
Binary is the New Black (and White): Recent Advances on Binary Image Processing
- Lidija Comic
A Simple yet Effective Image Repairing Algorithm. 73-83 - Bin Yao, Dianzhi Han, Shiying Kang, Yuyan Chao, Lifeng He:
A Novel Method for Improving the Voxel-Pattern-Based Euler Number Computing Algorithm of 3D Binary Images. 84-94 - Simone Mentasti
Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case -. 95-106 - Federico Bolelli
Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction. 107-118 - Florian Lemaitre, Nathan Maurice, Lionel Lacassagne:
An Efficient Run-Based Connected Component Labeling Algorithm for Processing Holes. 119-131 - Nathan Maurice, Florian Lemaitre, Julien Sopena, Lionel Lacassagne:
LSL3D: A Run-Based Connected Component Labeling Algorithm for 3D Volumes. 132-142
Artificial Intelligence for Preterm Infants' HealthCare - AI-Care
- Alessandro Casella
Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. 145-153 - Giuseppe Massimo Bernava
An Advanced Tool for Semi-automatic Annotation for Early Screening of Neurodevelopmental Disorders. 154-164 - Alessandro Cacciatore
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? 165-175
Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP
- Yansel González Tejeda
Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation. 179-190 - Laura Della Sciucca, Emanuele Balloni
StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation. 191-202 - Giulia Martinelli
Gender Recognition from 3D Shape Parameters. 203-214 - Rosa Zuccarà, Alessandro Ortis
Recognition of Complex Gestures for Real-Time Emoji Assignment. 215-227 - Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic:
Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks. 228-239
Artificial Intelligence for Digital Humanities - AI4DH
- Franco Delogu
The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial Players. 243-253 - Yuwei Cao
Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City Centers. 254-265 - Alessandro Bombini
Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience. 266-277 - Amit Neil Ramkissoon
Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System. 278-289 - Marina Paolanti
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections. 290-301 - Koubouratou Idjaton
Transformers with YOLO Network for Damage Detection in Limestone Wall Images. 302-313
Medical Transformers - MEDXF
- Eva Pachetti
On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness. 317-328 - Mara Sangiovanni
Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus Images. 329-339 - Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles
Transformer Based Generative Adversarial Network for Liver Segmentation. 340-347
Learning in Precision Livestock Farming - LPLF
- Daniela Lovarelli
Suggestions for the Environmental Sustainability from Precision Livestock Farming and Replacement in Dairy Cows. 351-360 - Souhaieb Aouayeb
Intelligent Video Surveillance for Animal Behavior Monitoring. 361-371 - Prayuktha Bendadi
Quick Quality Analysis on Cereals, Pulses and Grains Using Artificial Intelligence. 372-383 - Jing Gao, Tilo Burghardt, Neill W. Campbell:
Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification. 384-396
Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC
- Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection. 399-409 - Angelo Coluccia
Drone-vs-Bird Detection Challenge at ICIAP 2021. 410-421 - Edmond Jajaga
An Image-Based Classification Module for Data Fusion Anti-drone System. 422-433 - Abhijeet Nayak
Evaluation of Fully Convolutional One-Stage Object Detection for Drone Detection. 434-445 - Daitao Xing
Drone Surveillance Using Detection, Tracking and Classification Techniques. 446-457
Medical Imaging Analysis for Covid-19 - MIACOVID 2022
- Fares Bougourzi
ILC-Unet++ for Covid-19 Infection Segmentation. 461-472 - Radu Miron, Mihaela Elena Breaban:
Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation. 473-482 - Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen-Dinh:
Res-Dense Net for 3D Covid Chest CT-Scan Classification. 483-495 - Davide Tricarico
Deep Regression by Feature Regularization for COVID-19 Severity Prediction. 496-507 - Maria Ausilia Napoli Spatafora
Mixup Data Augmentation for COVID-19 Infection Percentage Estimation. 508-519 - Suman Chaudhary, Wanting Yang, Yan Qiang:
Swin Transformer for COVID-19 Infection Percentage Estimation from CT-Scans. 520-528 - Chih-Chung Hsu, Sheng-Jay Dai, Shao-Ning Chen:
COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer. 529-535
Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL
- Emanuele Marconato
Catastrophic Forgetting in Continual Concept Bottleneck Models. 539-547 - Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu
Practical Recommendations for Replay-Based Continual Learning Methods. 548-559
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