Table of Contents

• A Framework for Forming Middle Distance Routes Based on Spatial Guidelines, Perceived Accessibility and Visual Cues in Smart CityMargarita Zaleshina, Alexander Zaleshin. 3-13 [doi]
• A Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep LearningMiguel G. San-Emeterio. 14-25 [doi]
• Decision-Support System for Safety and Security Assessment and Management in Smart CitiesJavier González-Villa, Arturo Cuesta, Marco Spagnolo, Marisa Zanotti, Luke Summers, Alexander Elms, Anay Dhaya, Karel Jedlicka, Jan Martolos, Deniz Cetinkaya. 26-36 [doi]
• Embedded Intelligence for Safety and Security Machine Vision ApplicationsPanagiotis Lioupis, Aris Dadoukis, Evangelos Maltezos, Lazaros Karagiannidis, Angelos Amditis, Maite González, Jon Martin, David Cantero, Mikel Larrañaga. 37-46 [doi]
• Supporting Energy Digital Twins with Cloud Data Spaces: An Architectural ProposalChiara Rucco, Antonella Longo, Marco Zappatore. 47-58 [doi]
• High-Level Feature Extraction for Crowd Behaviour Analysis: A Computer Vision ApproachAlessandro Bruno, Marouane Ferjani, Zoheir A. Sabeur, Banafshe Arbab-Zavar, Deniz Cetinkaya, Liam Johnstone, Muntadher Sallal, Djamel Benaouda. 59-70 [doi]
• A Simple yet Effective Image Repairing AlgorithmLidija Comic, Paola Magillo. 73-83 [doi]
• A Novel Method for Improving the Voxel-Pattern-Based Euler Number Computing Algorithm of 3D Binary ImagesBin Yao, Dianzhi Han, Shiying Kang, Yuyan Chao, Lifeng He. 84-94 [doi]
• Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case -Simone Mentasti, Abednego Wamuhindo Kambale, Matteo Matteucci. 95-106 [doi]
• Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components ExtractionFederico Bolelli, Stefano Allegretti, Costantino Grana. 107-118 [doi]
• An Efficient Run-Based Connected Component Labeling Algorithm for Processing HolesFlorian Lemaitre, Nathan Maurice, Lionel Lacassagne. 119-131 [doi]
• LSL3D: A Run-Based Connected Component Labeling Algorithm for 3D VolumesNathan Maurice, Florian Lemaitre, Julien Sopena, Lionel Lacassagne. 132-142 [doi]
• Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic ImagesAlessandro Casella, Sara Moccia, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Alexa Bicelli, Dario Paladini, Elena De Momi, Leonardo S. Mattos. 145-153 [doi]
• An Advanced Tool for Semi-automatic Annotation for Early Screening of Neurodevelopmental DisordersGiuseppe Massimo Bernava, Marco Leo, Pierluigi Carcagnì, Cosimo Distante. 154-164 [doi]
• Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI?Alessandro Cacciatore, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli, Stefano Pigliapoco, Sara Moccia. 165-175 [doi]
• Effect of Gender, Pose and Camera Distance on Human Body Dimensions EstimationYansel González Tejeda, Helmut A. Mayer. 179-190 [doi]
• StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag GenerationLaura Della Sciucca, Emanuele Balloni, Marco Mameli, Emanuele Frontoni, Primo Zingaretti, Marina Paolanti. 191-202 [doi]
• Gender Recognition from 3D Shape ParametersGiulia Martinelli, Nicola Garau, Nicola Conci. 203-214 [doi]
• Recognition of Complex Gestures for Real-Time Emoji AssignmentRosa Zuccarà, Alessandro Ortis, Sebastiano Battiato. 215-227 [doi]
• Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL NetworksAlessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic. 228-239 [doi]
• The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial PlayersFranco Delogu, Francesco De Bartolomeo, Sergio Solinas, Carla Meloni, Beniamina Mercante, Paolo Enrico, Rachele Fanari, Antonello Zizi. 243-253 [doi]
• Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City CentersYuwei Cao, Mattia Previtali, Luigi Barazzetti, Marco Scaioni. 254-265 [doi]
• Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER ExperienceAlessandro Bombini, Lisa Castelli, Achille Felicetti, Franco Niccolucci, Anna Reccia, Francesco Taccetti. 266-277 [doi]
• Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social SystemAmit Neil Ramkissoon, Wayne Goodridge. 278-289 [doi]
• PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment CollectionsMarina Paolanti, Rocco Pietrini, Laura Della Sciucca, Emanuele Balloni, Benedetto Luigi Compagnoni, Antonella Cesarini, Luca Fois, Pierluigi Feliciati, Emanuele Frontoni. 290-301 [doi]
• Transformers with YOLO Network for Damage Detection in Limestone Wall ImagesKoubouratou Idjaton, Xavier Desquesnes, Sylvie Treuillet, Xavier Brunetaud. 302-313 [doi]
• On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer AggressivenessEva Pachetti, Sara Colantonio, Maria Antonietta Pascali. 317-328 [doi]
• Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus ImagesMara Sangiovanni, Maria Frucci, Daniel Riccio, Luigi Di Perna, Francesca Simonelli, Nadia Brancati. 329-339 [doi]
• Transformer Based Generative Adversarial Network for Liver SegmentationUgur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci. 340-347 [doi]
• Suggestions for the Environmental Sustainability from Precision Livestock Farming and Replacement in Dairy CowsDaniela Lovarelli, Daniel Berckmans, Jacopo Bacenetti, Marcella Guarino. 351-360 [doi]
• Intelligent Video Surveillance for Animal Behavior MonitoringSouhaieb Aouayeb, Xavier Desquesnes, Bruno Emile, Baptiste Mulot, Sylvie Treuillet. 361-371 [doi]
• Quick Quality Analysis on Cereals, Pulses and Grains Using Artificial IntelligencePrayuktha Bendadi, Vishali Mankina, Alessandro Distante, Rodolfo Guzzi. 372-383 [doi]
• Label a Herd in Minutes: Individual Holstein-Friesian Cattle IdentificationJing Gao, Tilo Burghardt, Neill W. Campbell. 384-396 [doi]
• DroBoost: An Intelligent Score and Model Boosting Method for Drone DetectionOgulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon, Kadir Sahin, Efe Buyukborekci, Devrim Cavusoglu, Sinan Altinuc. 399-409 [doi]
• Drone-vs-Bird Detection Challenge at ICIAP 2021Angelo 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. 410-421 [doi]
• An Image-Based Classification Module for Data Fusion Anti-drone SystemEdmond Jajaga, Veton Rushiti, Blerant Ramadani, Daniel Pavleski, Alessandro Cantelli Forti, Biljana Stojkovska, Olivera Petrovska. 422-433 [doi]
• Evaluation of Fully Convolutional One-Stage Object Detection for Drone DetectionAbhijeet Nayak, Mondher Bouazizi, Tasweer Ahmad, Artur Gonçalves, Bastien Rigault, Raghvendra Jain, Yutaka Matsuo, Helmut Prendinger. 434-445 [doi]
• Drone Surveillance Using Detection, Tracking and Classification TechniquesDaitao Xing, Halil Utku Unlu, Nikolaos Evangeliou, Anthony Tzes. 446-457 [doi]
• ILC-Unet++ for Covid-19 Infection SegmentationFares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid. 461-472 [doi]
• Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage EstimationRadu Miron 0002, Mihaela Elena Breaban. 473-482 [doi]
• Res-Dense Net for 3D Covid Chest CT-Scan ClassificationQuoc-Huy Trinh, Minh Van Nguyen, Thien-Phuc Nguyen-Dinh. 483-495 [doi]
• Deep Regression by Feature Regularization for COVID-19 Severity PredictionDavide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto. 496-507 [doi]
• Mixup Data Augmentation for COVID-19 Infection Percentage EstimationMaria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato. 508-519 [doi]
• Swin Transformer for COVID-19 Infection Percentage Estimation from CT-ScansSuman Chaudhary, Wanting Yang, Yan Qiang. 520-528 [doi]
• COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision TransformerChih-Chung Hsu, Sheng-Jay Dai, Shao-Ning Chen. 529-535 [doi]
• Catastrophic Forgetting in Continual Concept Bottleneck ModelsEmanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini. 539-547 [doi]
• Practical Recommendations for Replay-Based Continual Learning MethodsGabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu. 548-559 [doi]