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ORCID21st ICIAP 2022: Lecce, Italy - Part I
- Stan Sclaroff
, Cosimo Distante, Marco Leo, Giovanni Maria Farinella, Federico Tombari:
Image Analysis and Processing - ICIAP 2022 - 21st International Conference, Lecce, Italy, May 23-27, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13231, Springer 2022, ISBN 978-3-031-06426-5
Brave New Ideas
- Pierluigi Carcagnì, Marco Leo, Paolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante:
A Lightweight Model for Satellite Pose Estimation. 3-14 - Antonio Greco, Leonardo Rundo, Alessia Saggese, Mario Vento, Antonio Vicinanza:
Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter? 15-26 - Ciro Sannino, Michela Gravina, Stefano Marrone, Giuseppe Fiameni, Carlo Sansone:
LessonAble: Leveraging Deep Fakes in MOOC Content Creation. 27-37 - Georg Waltner, Malte Jaschik, Alfred Rinnhofer, Horst Possegger, Horst Bischof:
An Intelligent Scanning Vehicle for Waste Collection Monitoring. 38-50 - Pier Luigi Mazzeo, Antonio Rizzo, Cosimo Distante:
Morphological Galaxies Classification According to Hubble-de Vaucouleurs Diagram Using CNNs. 51-62
Biomedical and Assistive Technology
- Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices. 65-76 - Loris Cino, Pier Luigi Mazzeo, Cosimo Distante:
Comparison of Different Supervised and Self-supervised Learning Techniques in Skin Disease Classification. 77-88 - Emilio López-Varela, Jorge Novo, José Ignacio Fernández-Vigo, Francisco Javier Moreno-Morillo, Marcos Ortega:
Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA. 89-99 - Michela Gravina, Stefano Marrone, Ludovico Docimo, Mario Santini, Alfonso Fiorelli, Domenico Parmeggiani, Carlo Sansone:
Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion. 100-110 - Antonio Parziale, Antonio Della Cioppa, Angelo Marcelli:
Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting. 111-123 - Qiunv Yan, Li Liu, Lanyin Mei:
Learning Unrolling-Based Neural Network for Magnetic Resonance Imaging Reconstruction. 124-136 - Francesco Fontanella, Sonia Pinelli, Claudio Babiloni, Roberta Lizio, Claudio Del Percio, Susanna Lopez, Giuseppe Noce, Franco Giubilei, Fabrizio Stocchi, Giovanni B. Frisoni, Flavio Nobili, Raffaele Ferri, Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano:
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study. 137-147 - José Morano, Álvaro S. Hervella, José Rouco, Jorge Novo, José Ignacio Fernández-Vigo, Marcos Ortega:
Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions. 148-159 - Patrycja Haraburda, Lukasz Dabala:
Eye Diseases Classification Using Deep Learning. 160-172 - Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto:
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images. 173-184 - Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio:
UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. 185-196 - Valerio Guarrasi, Paolo Soda:
Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays. 197-209 - Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega:
High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks. 210-220 - Simon Lyra, Ines Groß-Weege, Steffen Leonhardt, Markus J. Lüken:
Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning. 221-232 - Marco Leo, Pierluigi Cacagnì, Luca Signore, Giulio Benincasa, Mikko O. Laukkanen, Cosimo Distante:
Improving Colon Carcinoma Grading by Advanced CNN Models. 233-244
Multimedia
- Fuma Kimishima, Jian Yang, Thuy Thi Thu Tran, Jinjia Zhou:
Frame Adaptive Rate Control Scheme for Video Compressive Sensing. 247-256 - Tianyu Bi, Dmitri Jarnikov, Johan Lukkien:
Shot-Based Hybrid Fusion for Movie Genre Classification. 257-269 - Xin Huang, Minglun Gong:
Landmark-Guided Conditional GANs for Face Aging. 270-283 - Lorenzo Catania, Dario Allegra, Oliver Giudice, Filippo Stanco, Sebastiano Battiato:
Introducing AV1 Codec-Level Video Steganography. 284-294
Deep Learning
- Jonathan Conder, Josephine Jefferson, Nathan Pages, Khurram Jawed, Alireza Nejati, Mark Sagar:
Efficient Transfer Learning for Visual Tasks via Continuous Optimization of Prompts. 297-309 - Sohee Kim, Seungkyu Lee:
Continual Learning with Neuron Activation Importance. 310-321 - Laya Rafiee Sevyeri, Thomas Fevens:
AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection. 322-334 - Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Daniele Pannone:
Analyzing EEG Data with Machine and Deep Learning: A Benchmark. 335-345 - Walysson Carlos dos Santos Oliveira, Geraldo Braz Junior, Daniel Lima Gomes Jr., Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida:
A Two-Stage U-Net to Estimate the Cultivated Area of Plantations. 346-357 - Francesca Trenta, Sebastiano Battiato, Daniele Ravì:
An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets. 358-367 - Andrea F. Abate, Lucia Cimmino, Michele Nappi, Fabio Narducci:
Fusion of Periocular Deep Features in a Dual-Input CNN for Biometric Recognition. 368-378 - Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. 379-390 - Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza:
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. 391-403 - Gertjan J. Burghouts, Maarten Kruithof, Wyke Huizinga, Klamer Schutte:
Cluster Centers Provide Good First Labels for Object Detection. 404-413 - Andrea D'Eusanio, Stefano Pini, Guido Borghi, Alessandro Simoni, Roberto Vezzani:
Unsupervised Detection of Dynamic Hand Gestures from Leap Motion Data. 414-424 - Martin Dornier, Philippe-Henri Gosselin, Christian Raymond, Yann Ricquebourg, Bertrand Coüasnon:
SCAF: Skip-Connections in Auto-encoder for Face Alignment with Few Annotated Data. 425-437 - Daniel Mario de Lima, Catharine V. Graves, Marco A. Gutierrez, Bruno Brandoli, José F. Rodrigues Jr.:
Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI. 438-450 - Rasha Alshehhi:
Super-Resolution of Solar Active Region Patches Using Generative Adversarial Networks. 451-462 - Tomaso Fontanini, Filippo Botti, Massimo Bertozzi, Andrea Prati:
Avoiding Shortcuts in Unpaired Image-to-Image Translation. 463-475 - Kirill Prokofiev, Vladislav Sovrasov:
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems. 476-488 - Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone:
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application. 489-499 - Sebastian A. Scherer, Stephan Brehm, Rainer Lienhart:
Consistency Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. 500-511 - Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato:
Towards an Efficient Facial Image Compression with Neural Networks. 512-523 - Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Avalanche RL: A Continual Reinforcement Learning Library. 524-535 - Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel:
CVGAN: Image Generation with Capsule Vector-VAE. 536-547 - Jiefei Wei, Qinggang Meng, Luyan Yao:
Self-Adaptive Logit Balancing for Deep Learning Robustness in Computer Vision. 548-559 - Kyung Ho Park, HyunHee Chung:
Don't Wait Until the Accident Happens: Few-Shot Classification Framework for Car Accident Inspection in a Real World. 560-571 - Sebastian Cygert, Andrzej Czyzewski:
Robust Object Detection with Multi-input Multi-output Faster R-CNN. 572-583 - Yan Liu, Yuelin Deng, Jinping Su, Ruonan Wang, Chi Li:
Multiple Input Branches Shift Graph Convolutional Network with DropEdge for Skeleton-Based Action Recognition. 584-596 - Tommaso Barletti, Niccolo Biondi, Federico Pernici, Matteo Bruni, Alberto Del Bimbo:
Contrastive Supervised Distillation for Continual Representation Learning. 597-609 - Zibusiso Bhango, Dustin van der Haar:
A Comparison of Deep Learning Methods for Inebriation Recognition in Humans. 610-620 - Saeed Bakhshi Germi, Esa Rahtu:
Enhanced Data-Recalibration: Utilizing Validation Data to Mitigate Instance-Dependent Noise in Classification. 621-632 - Abhinav Sagar:
DMSANet: Dual Multi Scale Attention Network. 633-645 - Tomaso Fontanini, Claudio Praticò, Andrea Prati:
Towards Latent Space Optimization of GANs Using Meta-Learning. 646-657 - Florian Merkle, Maximilian Samsinger, Pascal Schöttle:
Pruning in the Face of Adversaries. 658-669 - Mohanad Abukmeil, Stefano Ferrari, Angelo Genovese, Vincenzo Piuri, Fabio Scotti:
Grad2VAE: An Explainable Variational Autoencoder Model Based on Online Attentions Preserving Curvatures of Representations. 670-681
Image Processing for Cultural Heritage
- Alessandro Bombini, Lucio Anderlini, Luca dell'Agnello, Francesco Giaocmini, Chiara Ruberto, Francesco Taccetti:
The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks. 685-700 - Lucia Cascone, Piercarlo Dondi, Luca Lombardi, Fabio Narducci:
Automatic Classification of Fresco Fragments: A Machine and Deep Learning Study. 701-712 - Giovanni Pasqualino, Antonino Furnari, Giovanni Maria Farinella:
Unsupervised Multi-camera Domain Adaptation for Object Detection in Cultural Sites. 713-724
Robot Vision
- Jyri Maanpää, Iaroslav Melekhov, Josef Taher, Petri Manninen, Juha Hyyppä:
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task. 727-738 - Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Embodied Navigation at the Art Gallery. 739-750 - Dario Fontanel, Fabio Cermelli, Antonino Geraci, Mauro Musarra, Matteo Tarantino, Barbara Caputo:
Relaxing the Forget Constraints in Open World Recognition. 751-763 - Praveen Venkatesh, Rwik Rana, Varun Jain:
Memory Guided Road Segmentation. 764-772 - Muhammad Haris, Mathias Franzius, Ute Bauer-Wersing:
Learning Visual Landmarks for Localization with Minimal Supervision. 773-786
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