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ORCID21st ICIAP 2022: Lecce, Italy - Workshops - Part II
- Pier Luigi Mazzeo
, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante:
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, Alexander Zaleshin:
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, Arturo Cuesta, Marco Spagnolo, Marisa Zanotti, Luke Summers, Alexander Elms, Anay Dhaya, Karel Jedlicka, Jan Martolos, Deniz Cetinkaya:
Decision-Support System for Safety and Security Assessment and Management in Smart Cities. 26-36 - Panagiotis Lioupis, Aris Dadoukis, Evangelos Maltezos, Lazaros Karagiannidis, Angelos Amditis, Maite González, Jon Martin, David Cantero, Mikel Larrañaga:
Embedded Intelligence for Safety and Security Machine Vision Applications. 37-46 - Chiara Rucco, Antonella Longo, Marco Zappatore:
Supporting Energy Digital Twins with Cloud Data Spaces: An Architectural Proposal. 47-58 - Alessandro Bruno, Marouane Ferjani, Zoheir A. Sabeur, Banafshe Arbab-Zavar, Deniz Cetinkaya, Liam Johnstone, Muntadher Sallal, Djamel Benaouda:
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, Paola Magillo:
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, Abednego Wamuhindo Kambale, Matteo Matteucci:
Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case -. 95-106 - Federico Bolelli, Stefano Allegretti, Costantino Grana:
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, Sara Moccia, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Alexa Bicelli, Dario Paladini, Elena De Momi, Leonardo S. Mattos:
Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. 145-153 - Giuseppe Massimo Bernava, Marco Leo, Pierluigi Carcagnì, Cosimo Distante:
An Advanced Tool for Semi-automatic Annotation for Early Screening of Neurodevelopmental Disorders. 154-164 - Alessandro Cacciatore, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli, Stefano Pigliapoco, Sara Moccia:
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, Helmut A. Mayer:
Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation. 179-190 - Laura Della Sciucca, Emanuele Balloni, Marco Mameli, Emanuele Frontoni, Primo Zingaretti, Marina Paolanti:
StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation. 191-202 - Giulia Martinelli, Nicola Garau, Nicola Conci:
Gender Recognition from 3D Shape Parameters. 203-214 - Rosa Zuccarà, Alessandro Ortis, Sebastiano Battiato:
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, Francesco De Bartolomeo, Sergio Solinas, Carla Meloni, Beniamina Mercante, Paolo Enrico, Rachele Fanari, Antonello Zizi:
The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial Players. 243-253 - Yuwei Cao, Mattia Previtali, Luigi Barazzetti, Marco Scaioni:
Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City Centers. 254-265 - Alessandro Bombini, Lisa Castelli, Achille Felicetti, Franco Niccolucci, Anna Reccia, Francesco Taccetti:
Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience. 266-277 - Amit Neil Ramkissoon, Wayne Goodridge:
Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System. 278-289 - Marina Paolanti, Rocco Pietrini, Laura Della Sciucca, Emanuele Balloni, Benedetto Luigi Compagnoni, Antonella Cesarini, Luca Fois, Pierluigi Feliciati, Emanuele Frontoni:
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections. 290-301 - Koubouratou Idjaton, Xavier Desquesnes, Sylvie Treuillet, Xavier Brunetaud:
Transformers with YOLO Network for Damage Detection in Limestone Wall Images. 302-313
Medical Transformers - MEDXF
- Eva Pachetti, Sara Colantonio, Maria Antonietta Pascali:
On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness. 317-328 - Mara Sangiovanni, Maria Frucci, Daniel Riccio, Luigi Di Perna, Francesca Simonelli, Nadia Brancati:
Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus Images. 329-339 - Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci:
Transformer Based Generative Adversarial Network for Liver Segmentation. 340-347
Learning in Precision Livestock Farming - LPLF
- Daniela Lovarelli, Daniel Berckmans, Jacopo Bacenetti, Marcella Guarino:
Suggestions for the Environmental Sustainability from Precision Livestock Farming and Replacement in Dairy Cows. 351-360 - Souhaieb Aouayeb, Xavier Desquesnes, Bruno Emile, Baptiste Mulot, Sylvie Treuillet:
Intelligent Video Surveillance for Animal Behavior Monitoring. 361-371 - Prayuktha Bendadi, Vishali Mankina, Alessandro Distante, Rodolfo Guzzi:
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, Kadir Sahin, Efe Buyukborekci, Devrim Cavusoglu, Sinan Altinuc:
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection. 399-409 - Angelo Coluccia, Alessio Fascista, Arne Schumann, Lars Sommer, Anastasios Dimou, Dimitrios Zarpalas, Nabin Sharma, Mrunalini Nalamati, Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon, Kadir Sahin, Efe Buyukborekci, Devrim Cavusoglu, Sinan Altinuc, Daitao Xing, Halil Utku Unlu, Nikolaos Evangeliou, Anthony Tzes, Abhijeet Nayak, Mondher Bouazizi, Tasweer Ahmad, Artur Gonçalves, Bastien Rigault, Raghvendra Jain, Yutaka Matsuo, Helmut Prendinger, Edmond Jajaga, Veton Rushiti, Blerant Ramadani, Daniel Pavleski:
Drone-vs-Bird Detection Challenge at ICIAP 2021. 410-421 - Edmond Jajaga, Veton Rushiti, Blerant Ramadani, Daniel Pavleski, Alessandro Cantelli Forti, Biljana L. Stojkoska, Olivera Petrovska:
An Image-Based Classification Module for Data Fusion Anti-drone System. 422-433 - Abhijeet Nayak, Mondher Bouazizi, Tasweer Ahmad, Artur Gonçalves, Bastien Rigault, Raghvendra Jain, Yutaka Matsuo, Helmut Prendinger:
Evaluation of Fully Convolutional One-Stage Object Detection for Drone Detection. 434-445 - Daitao Xing, Halil Utku Unlu, Nikolaos Evangeliou, Anthony Tzes:
Drone Surveillance Using Detection, Tracking and Classification Techniques. 446-457
Medical Imaging Analysis for Covid-19 - MIACOVID 2022
- Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
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, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto:
Deep Regression by Feature Regularization for COVID-19 Severity Prediction. 496-507 - Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato:
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, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini:
Catastrophic Forgetting in Continual Concept Bottleneck Models. 539-547 - Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-Based Continual Learning Methods. 548-559
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