Querido/a colega, siguiendo con las actividades de la Semana de la Ingeniería, te invito en esta oportunidad a ser parte del encuentro Arsat-SG1 Satélite geoestacionario argentino de comunicaciones, a celebrarse el próximo jueves 08 de junio, de 18.30hs a 20.00hs, en el salón de actos de nuestra sede de Paseo Colón 850.
Inscripción: https://forms.gle/W51VnM2ZeUQUGq3t9
El ARSAT-SG1, será el tercer satélite de la flota geoestacionaria de la empresa ARSAT. De propulsión eléctrica, brindará banda ancha satelital Ka y estará dotado con la última tecnología para brindar conectividad a cualquier punto del país y países limítrofes.
El proyecto, llevado adelante por ARSAT, junto a INVAP y en alianza estratégica con la empresa Turkish Aerospace Industries (TAI) implica diversos desafíos de ingeniería, que serán presentados y discutidos en este encuentro, junto al Ing. Juan Aurelio, jefe de Operaciones Satelitales de ARSAT.
Te envío un abrazo grande y te agradezco la colaboración en la difusión de esta actividad, la seguimos pronto,
1st Workshop on Federated Learning in Medical Imaging and Vision
May 30th, 2023 
Daniela Lopez de Luise 1st Workshop on Federated Learning in Medical Imaging and Vision
Held in conjunction with the “22nd International Conference on Image Analysis and Processing (ICIAP)” – September 11-15, 2023, Udine (Italy)
Web site: https://fedmedw.github.io/
ICIAP 2023 is the 22nd edition of a biennial series of conferences by CVPL, the Italian Member Society of the International Association for Pattern Recognition (IAPR). The conference focuses on classic and recent trends in computer vision, pattern recognition, and image processing and covers theoretical and applicative aspects. The event is hosted by the University of Udine, located in the downtown center of Udine. Udine is located in Friuli Venezia Giulia region, in the North East of Italy. Udine is about 140 km from Venice and 80 km from Trieste.
The 1st Workshop on Federated Learning (FL) in Medical Imaging and Vision aims to bring together researchers and practitioners with a common interest in FL for visual tasks, focusing on medical imaging, to address this research area's open questions and challenges.
Topics
The workshop aims to attract novel and original contributions exploring federated and collaborative learning with its challenges and peculiarities. Expected submissions should cover, but are not limited to, the following topics:
- Novel approaches of Federated, Distributed, and Collaborative Learning in medical imaging applications
- Topologies: Server-centric, peer-to-peer, cyclic, swarm learning, etc.
- Decentralized Learning
- Dealing with heterogeneous and unbalanced (non-IID) data distributions
- Security and privacy of FL systems
- Personalized FL models
- New Datasets for FL
- Optimization methods for distributed and collaborative learning
- Adversarial, inversion, back-dooring, and other forms of attacks on distributed and federated learning
- Model sharing techniques
- Novel applications of FL techniques: image classification, segmentation, reconstruction, regression; multi-task learning, model agnostic learning, meta-learning, unsupervised
- Applications of federated, distributed, and collaborative learning techniques in the medical field.
- Explainability and interpretability in FL
- Federated continual learning
- Asynchronous FL
Important dates
Paper submission deadline: June 30, 2023
Notification to authors: July 30, 2023
Camera-ready deadline: August 15, 2023
Proceedings
Accepted papers will be published in Springer LNCS in a separate proceedings book.
Organizers
Simone Palazzo (University of Catania)
Federica Proietto Salanitri (University of Catania)
Matteo Pennisi (University of Catania)
Chen Chen (University of Central Florida)
Bruno Casella (University of Turin)
Gianluca Mittone (University of Turin)
We hope to see you in Udine!
CL4REAL: 2nd Workshop on Novel Benchmarks and Approaches for Real-World Continual Learning
May 30th, 2023 Daniela Lopez de Luise 2nd Workshop on Novel Benchmarks and Approaches for Real-World Continual Learning
Held in conjunction with the “22nd International Conference on Image Analysis and Processing (ICIAP)” – September 11-15, 2023, Udine (Italy)
Web site: https://cl4real.github.io
ICIAP 2023 is the 22nd edition of a biennial series of conferences by CVPL, the Italian Member Society of the International Association for Pattern Recognition (IAPR). The conference focuses on classic and recent trends in computer vision, pattern recognition, and image processing and covers theoretical and applicative aspects. The event is hosted by the University of Udine, located in the downtown center of Udine. Udine is located in Friuli Venezia Giulia region, in the North East of Italy, about 140 km from Venice and 80 km from Trieste.
The 2nd Workshop on Novel Benchmarks and Approaches for Real-World Continual Learning aims to promote and attract research on less studied aspects of continual learning, from new benchmarks to evaluation protocols, thus integrating the current methodological research efforts with a more practical and application-oriented perspective.
Topics
The workshop aims to attract novel and original contributions exploring the intersection of continual learning and real-world applications. Expected submissions should cover, but are not limited to, the following topics:
- investigations and proposals of metrics to better qualify the performance of continual learning approaches in the context of realistic problems;
- novel continual learning benchmarks that go beyond the classical settings, focusing on one or more key aspects that characterize applications;
- case studies of deployment and integration of continual learning approaches to real-world problems;
- methodological contributions that focus on key aspects of realistic applications.
Important dates
Paper submission deadline: June 30, 2023
Notification to authors: July 30, 2023
Camera-ready deadline: August 15, 2023
Proceedings
Accepted papers will be published in Springer LNCS in a separate proceedings book.
Organizers
Simone Palazzo (University of Catania)
Giovanni Bellitto (University of Catania)
Lorenzo Bonicelli (University of Modena and Reggio Emilia)
Vincenzo Lomonaco (University of Pisa)
We hope to see you in Udine!
EURASIP Journal on Image and Video Processing Free Webinar on on “Deep learning for inverse problems in imaging” (Thu. June 1, 2023 at 12:30pm CET)
May 30th, 2023 Daniela Lopez de Luise Speaker: Enrico Magli (Polito)
Title: “Deep learning for inverse problems in imaging“
To join the webinar, please register to receive more details on how to connect. The registration form can be found at: https://forms.gle/9JCc6NBgM1x2kZK6A
*If you wish to promote a EURASIP journal special issue, conference, event, or new image/video database at an upcoming webinar, please reply to this email with additional details.
Abstract: Deep learning has significantly advanced several areas of imaging, from image analysis tasks such as classification and segmentation to image restoration tasks. Besides being able to produce photorealistic images, generative architectures such as GANs and diffusion models have turned out to be very useful for solving inverse problems, providing powerful priors that can be used even with lack of ground truth data, or lack of training data at all. This talk will focus on recent advances in deep models for restoration, touching on aspects such as perception, complexity and priors. I will cover models for supervised, self-supervised, unsupervised and one-shot restoration, in the single- and multi-image case, as well as the generation of multiple “good” solutions that are consistent with the observed data. I will show examples of models learning non-local relationships in the data, along with applications to a variety of data types including optical/radar satellite images and point clouds. I will discuss the implications of these methods on accuracy, perceptual quality and complexity, and I will discuss multimodality as a way to further improve image restoration accuracy.
Bio: Enrico Magli is a Full Professor with Politecnico di Torino, Italy, where he leads the Image Processing and Learning group. He performs research in the fields of deep learning for image and video processing and image compression, with applications to vision and remote sensing. He is a Senior Associate Editor of IEEE Journal on Selected Topics in Signal Processing, and a former Associate Editor of IEEE T-MM and IEEE T-CSVT. He chaired the IEEE Technical Committee on Multimedia Signal processing. He is a Fellow of the IEEE, a Fellow of the ELLIS Society for the advancement of artificial intelligence in Europe, and has been an IEEE Distinguished Lecturer. He was a co-recipient of the IEEE Geoscience and Remote Sensing Society 2011 Transactions Prize Paper Award, the IEEE ICIP 2015 Best Student Paper Award (as senior author), the IEEE ICIP 2019 Best Paper Award, the IEEE Multimedia 2019 Best Paper Award. He has received an ERC consolidator grant in 2011 and an ERC proof-of-concept grant in 2015.
Recordings of previous webinar sessions are available online at https://vimeo.com/showcase/8005816.
ICVS 2023 Call for Papers
May 30th, 2023 Daniela Lopez de Luise The 14th International Conference on Computer Vision Systems (ICVS 2023) 27-29 September 2023 in Vienna, Austria
https://icvs2023.conf.tuwien.ac.at/
The submission deadline of the ICVS 2023 conference will be extended by two weeks to June 12th for paper as well as for workshop proposal submission.
The 14th International Conference on Computer Vision Systems will be held in Vienna, Austria as a single-track conference, continuing a series of successful events in Europe, America and Asia. While most computer vision conferences focus on specific methods for experimental applications, ICVS primarily addresses issues arising in the design and deployment of comprehensive computer vision systems for a broad spectrum of applications, such as robotics and automation, inspection, monitoring and surveillance, and scene interpretation. We warmly welcome contributions of papers targeting the conference scope, which includes but is not limited to the following topics: * Building vision systems: Paradigms, architectures, integration, control * Vision systems applications: Systems deployed in real/realistic scenarios * Robot vision * Real-time vision systems * Mobile and wearable vision systems * Hardware-implemented vision systems * Vision for the real world: Robustness, learning, adaptability, self-assessment, failure recovery * Vision for autonomous vehicles * Vision for healthcare and rehabilitation applications * Vision for surveillance and security applications * Vision for virtual and augmented reality (VR and AR) applications * Vision for industrial automation in FoFs * Cognitive vision systems * Human-computer interaction: Monitoring, supervised learning, scene interpretation * Human-robot collaboration: Gesture recognition, scene understanding * Performance evaluation: Benchmarks, methods, metrics The ICVS 2023 proceedings will be published in Springer, Lecture Notes in Computer Science. ================================================== IMPORTANT DATES Workshop Proposal Deadline: June 12, 2023May 25, 2023Paper Submission Deadline:June 12, 2023Jean-Baptiste Weibel, TU Wien – General ChairMay 29, 2023Author Notification: July 13, 2023 Camera Ready: July 26, 2023 Conference: September 27-29, 2023 Early registration: July 26, 2023 ================================================== SUBMISSIONS All papers will be submitted electronically through the conference submission service website https://easychair.org/my/conference?conf=icvs23
ICVS 2023 also invites proposals for two-hour workshops and tutorials, which will be held during the third day of the conference, on Friday, September 29, 2023. For further information on the papers and workshops proposal submission process, please visit the conference website https://icvs2023.conf.tuwien.ac.at/ AWARDS The organising committee of ICVS 2023 is proud to announce that travel grants will be awarded to selected student authors of accepted papers. All applications will be reviewed on a competitive basis and awards will be given to financially support their travel. In collaboration with our sponsors, monetary awards will be given for the ICVS 2023 Best Paper and, for the first time, the IEEE & AIT Women in Engineering Best Paper. PROGRAM CHAIRS Henrik I. Christensen, UC San Diego Peter Corke, Queensland University of Technology Renaud Detry, KU Leuven ORGANISING COMMITTEE
Markus Vincze, TU Wien – Honorary Chair
Stefan Thalhammer, TU Wien – Local Chair
Doris Antensteiner, AIT Austrian Institute of Technology – Diversity Chair
Timothy Patten, University of Technology Sydney – Publicity Chair
Dominik Bauer, Columbia University – Co-Publication Chair
Ehsan Yaghoubi, Hamburg University – Co-Publication Chair