International Summer School Multimodal Foundation Models and Generative AI “MFMGenerativeAI” 2024

January 18th, 2024 Daniela Lopez de Luise
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International Summer School
Multimodal Foundation Models and Generative AI  “MFMGenerativeAI” 2024  
Rabat (Morocco), April 29 – May 3, 2024 
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Early registration: February 29, 2024
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SCOPE
Foundation models (FMs) are large deep learning neural networks trained on massive datasets (e.g., with billions of parameters), which can be further adapted to a variety of downstream tasks with little or no supervision. For example, the BERT model released in 2018, one of the first bidirectional foundation models, was trained using 340 million parameters and a 16 GB training dataset. Just five years later, in 2023, OpenAI trained GPT-4 using 170 trillion parameters and a 45 GB training dataset. Rather than developing artificial intelligence (AI) from scratch, AI scientists use a foundation model as a starting point to develop AI models that power new applications faster and more cost-effectively. In recent years, this approach has significantly advanced the state-of-the-art in Computer Vision, Natural Language Processing, Speech Analysis, and several other fields. In particular, multimodal foundation models, which are trained simultaneously with multiple modalities, have shown remarkable success in text or audio to image/video/3D generation. 
The purpose of this summer school is to provide a clear overview and an in-depth analysis of the state-of-the-art research in Multimodal Foundation Models and Generative AI. The courses will be delivered by world renowned experts in the field and will cover both theoretical and practical aspects of Multimodal Foundation Models and Generative AI.
The school aims to provide a stimulating opportunity for young researchers and Ph.D. students. The participants will benefit from direct interaction and discussions with world leaders in Computer Vision. Participants will also have the possibility to present the results of their research, and to interact with their scientific peers, in a friendly and constructive environment.
ADDRESSED TO
The school will be open to about 60 qualified, motivated, and pre-selected candidates.
Master Students, Ph.D. students, post-Docs, young researchers (both academic and industrial), senior researchers (both academic and industrial) or academic / industrial professionals are encouraged to apply (a confirmation email will be sent to you). Each student is strongly encouraged to also submit a reference letter (a reference letter template is available on the application website).

 

HOW TO APPLY

 

IMPORTANT DATES
Application: February 29, 2024
Notification of acceptance: March 15, 2024
Online registration: March 31, 2024
Early registration payment: March 31, 2024
Late registration (with extra payment of 100 €): April 15, 2024 (last date for registration)
Presentation submission: April 15, 2024
Local arrangements information: April 15, 2024
VENUE
MFMGenerativeAI 2024 will take place in Rabat, the capital and one of the four Imperial cities of Morocco; the Medina of Rabat is listed as a World Heritage Site. 
SPEAKERS
– Mubarak Shah, Full Professor, University of Central Florida (USA)
– Nicu Sebe, Full Professor, University of Trento  (Italy)
– Alberto Del Bimbo, Full Professor, University of Florence
– Stefano Berretti, Associate Professor, University of Florence
– Antitza Dantcheva, Researcher, INRIA
– Mohamed Daoudi, Full Professor, IMT Nord Europe
– others coming soon

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Metaheuristics, Soft Computing, and Machine Learning in Image Processing and Computer Vision

January 18th, 2024 Daniela Lopez de Luise
Dear Colleagues,

I am contacting you as the guest editor of a Special Issue titled “Metaheuristics, Soft Computing, and Machine Learning in Image Processing and Computer Vision”  in Computers Materials & Continua (IF: 3.1). 
Your submission will be subject to peer review and published in full open access. The deadline for the submission is 31 May 2024. 

Abstract:
The use of images and videos has widely increased in the last few years. Cameras are an extension of the human vision sense. However, analyzing the scenes could be time-consuming, especially for some specific tasks. The use of intelligent algorithms is a way to help in the analysis of the scenes in mages or videos. Computational tools such as metaheuristics, soft computing, and machine learning are employed to overcome the drawbacks of classical image processing tools. This Special Issue is a collection of implementations and hybridizations of machine learning and metaheuristics in solving complex problems in image processing and computer vision. Recent advantages among the areas are included. Besides, literature reviews and surveys are also included to study the importance of the related areas and applications extensively. 

Best Regards,
Seyed Jalaleddin Mousavirad
Mid Sweden University, Sweden


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EarthVision Workshop at CVPR 2024

January 18th, 2024 Daniela Lopez de Luise

CALL FOR PAPERS

EarthVision 2024 – Large Scale Computer Vision for Remote Sensing Imagery Workshop 

in conjunction with CVPR 2024, June 2024, Seattle, USA. 

Website: https://www.grss-ieee.org/events/earthvision-2024/

AIMS AND SCOPE

Earth Observation (EO) and remote sensing are fast growing fields of investigation where computer vision, machine learning, and signal/image processing meet. The general objective of EO is to provide large-scale and consistent information about processes occurring at the surface of the Earth by exploiting data collected by airborne and spaceborne sensors. EO covers a broad range of tasks, from detection to registration, data mining, and multi-sensor, multi-resolution, multi-temporal, multi-modal fusion and regression, to name just a few. It serves numerous  applications such as location-based services, online mapping, large-scale surveillance, 3D urban modeling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modeling, food security, etc. The sheer amount of data calls for highly automated scene interpretation workflows. 

The Earthvision workshop, held for its seventh edition at the CVPR 2023, aims at fostering collaboration between the computer vision, machine learning, and the remote sensing communities to boost automated analysis of EO data. EarthVision will strive to build cooperation within the CVPR community for this highly challenging and quickly evolving field with a significant impact on society, economy, industry, and the environment. 

We invite contributions in the fields of (not exhaustive list):

  • Super-resolution in the spectral and spatial domain

  • Hyperspectral and multispectral image processing

  • Reconstruction and segmentation of optical and LiDAR 3D point clouds

  • Feature extraction and learning from spatio-temporal data 

  • Analysis  of UAV / aerial and satellite images and videos

  • Deep learning tailored for large-scale Earth Observation

  • Domain adaptation, concept drift, and the detection of out-of-distribution data

  • Data-centric machine learning

  • Evaluating models using unlabeled data

  • Self-, weakly, and unsupervised approaches for learning with spatial data

  • Foundation models and representation learning in the context of EO

  • Human-in-the-loop and active learning

  • Multi-resolution, multi-temporal, multi-sensor, multi-modal processing

  • Fusion of machine learning and physical models

  • Explainable and interpretable machine learning in Earth Observation applications

  • Uncertainty quantification of machine-learning based prediction from EO data

  • Applications for climate change, sustainable development goals, and geoscience

  • Public benchmark datasets: training data standards, testing & evaluation metrics, as well as open source research and development.

IMPORTANT DATES

Full paper submission: March 8, 2024

Notification of acceptance: April 5, 2024

Camera-ready paper: April 12, 2024

Workshop (full day): June 17/18, 2024

SUBMISSION GUIDELINES

A complete paper should be submitted using the EarthVision templates provided on the workshop website. The paper length must not exceed 8 pages (excluding references) and formatting follows CVPR 2024 instructions. All manuscripts will be subject to a double-blind review process, i.e. authors must not identify themselves on the submitted papers. The reviewing process is single-stage, meaning that there will not be rebuttals to reviewers.

Papers are to be submitted using the dedicated submission platform on the workshop website. By submitting a manuscript, the authors guarantee that it has not been previously published or accepted for publication in substantially similar form. CVPR rules regarding plagiarism, double submission, etc. apply.  

WORKSHOP ORGANIZERS

Ronny Hänsch, German Aerospace Center, Germany

Devis Tuia, EPFL, Switzerland

Jan Dirk Wegner, University of Zurich & ETH Zurich, Switzerland

Bertrand Le Saux, ESA/ESRIN, Italy

Loïc Landrieu, IGN, France

Charlotte Pelletier, UBS Vannes, France

Hannah Kerner, Arizona State University, USA

SPONSORING

The event is co-organized by the Image Analysis and Data Fusion Technical Committee of the IEEE-GRSS, and it is sponsored by Exolabs. If your organization is interested to co-sponsor the event, please don’t hesitate to reach out.

Website: https://www.grss-ieee.org/events/earthvision-2024/

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CFP LAD’24: International Workshop on LLM-Aided Design

January 18th, 2024 Daniela Lopez de Luise

CALL FOR PAPERS – LAD’24

1st IEEE International Workshop on LLM-Aided Design

June 28-29 2024, Almaden, CA 

 

This new international workshop will focus on how to use LLM (Large Language Model) as a methodology to help design circuits, software, and computing systems with improved quality, productivity, robustness, and cost. It is the first of its kind international workshop in the community that will focus on discussing results that leverage the significant advancement and innovation captured by the generative AI and LLM technology to offer new methods and solutions for design automation targeting various applications. The workshop will be a timely venue that will host leading researchers and thought leaders in this fast-growing area and will provide a forum for researchers and practitioners to present their latest results, contribute open-source LLM models, datasets, tool flows, and offer benchmarking, testing and validation methods and solutions. Topics of interest include but are not limited to:

  • LLM-aided hardware/software design specification and code generation
  • System-level design methodology development with LLMs
  • Security and robustness of LLM-generated designs
  • LLM-aided security verification and bug-fixing
  • Finetuning of large foundation models for specialization in design automation
  • LLMs for EDA, including HLS, physical design, and EDA scripting
  • LLMs for reasoning and math used in design process 
  • Computational efficiency of LLM-aided design tools
  • Privacy, copyright and other regulatory concerns around LLM-aided design
  • Data science and data analytics for LLM-aided design

 

SUBMISSION INSTRUCTIONS

The workshop invites 4-page regular papers in the IEEE Conference format. Page limits do not include references. Papers should be anonymized for double-blind peer review. We strongly encourage papers with a commitment to open and reproducible research, including datasets and methods. Papers with open-source implementations will be highlighted at the workshop. All papers will be published on IEEEXplore. Papers can be submitted via OpenReview (https://openreview.net/group?id=IEEE.org/LAD/2024) starting March 1st, 2024. See the workshop website (https://www.islad.org/) for more details. 

 

IMPORTANT DATES

Full paper submission:           April 1st, 2024 (Submission website opens March 1st, 2024)

Notification of acceptance:     May 1st, 2024

Camera ready paper due:      May 15th, 2024

 

PAPER FORMATTING

Authors should follow the recommended IEEE Conference format for their submissions (https://www.ieee.org/conferences/publishing/templates.html) to ensure compatibility with IEEEXplore. Manuscripts should be blinded so as to not disclose author identities. LAD’24 encourages open-source and reproducible research. Authors can provide anonymized URLs to their datasets and methods in the paper, or commit to open release on paper acceptance. However, this is not mandatory. 

 

POLICY ON SUBMISSIONS TO OTHER VENUES

LAD’24 expects previously unpublished papers describing original research. Accepted LAD’24 papers will appear on IEEEXplore and count as formal, archival publications. LAD’24 papers can be enhanced and submitted for publication in other conferences or journals; the enhancements should be significant and consistent with the policies of these venues.

 

ORGANIZING COMMITTEE

General Chairs                       Ruchir Puri (IBM), Deming Chen (UIUC)

Program Chairs                      Siddharth Garg (NYU), Haoxing (Mark) Ren (NVidia)

Finance Chair                         Callie Hao (GaTech) 

Special Sessions Chair          Azalia Mirhoseini (Stanford) 

Industrial Liaison                    Yong Liu (Cadence)

Open Community Chair          Yingyan (Celine) Lin (GaTech)

Publicity Chair                        Jeff Goeders (BYU) 

Local Arrangements               Ehsan Degan (IBM)

Webmaster                             Kaiwen Cao (UIUC)

 

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WIFS 2024 Calls for Special Sessions, Demos, Challenges, Tutorials, Papers

January 18th, 2024 Daniela Lopez de Luise

16th IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS) 2024

 

ROME, ITALY, DECEMBER 2-5, 2024

 

https://wifs2024.uniroma3.it

 

AIMS AND SCOPE

The IEEE International Workshop on Information Forensics and Security (WIFS) 2024 will be the 16th edition of the major annual event organized by the IEEE Information Forensics and Security Technical Committee (IFS-TC) of the IEEE Signal Processing Society (SPS). The major goal of WIFS is to bring together researchers working in the different areas of information forensics and security to discuss challenges, exchange ideas, and share state-of-the-art results and technical expertise, with the aim of building a community capable of providing adequate tools and solutions to face the challenges of tomorrow.

WIFS 2024 will be held in Rome, Italy, from December 2 to December 5, hosted by Roma Tre University, and it will see the participation of researchers from all over the world, who will allow to have a high-level technical program, also thanks to the expertise of the program committee involved, and who will have the opportunity to exploit an interesting social program taking advantage of the charm of the Eternal City.

CALL FOR TUTORIALS

The organizing committee invites proposals for Tutorials on relevant and emerging topics in the areas of Information Forensics and Security. Tutorials will be given during the first day of the conference, on Monday December 2, 2024.

CALL FOR SPECIAL SESSIONS

The organizing committee invites proposals for innovative and high-quality special sessions on emerging topics, which complement the regular program of the conference. Special sessions should both provide an overview of the state of the art in the proposed field, and highlight the most promising research directions, trends and issues. Special session proposals will be evaluated based on the proposed topic, the expected impact, the expected quality of the contributed papers, and the session organizers and contributing authors. Special session paper submissions will be reviewed via the same process used for the regular program, and papers are expected to meet the same quality standards. Accepted and presented papers will be submitted for inclusion into IEEE Xplore.

CALL FOR DEMOS

The organizing committee invites proposals for demonstrations of applications in information forensics and security topics. Demos are intended as real, practical, and interactive proof of the presenters' research ideas and scientific or engineering contributions, with the goal of providing researchers and practitioners with the opportunity to discuss working systems, applications, prototypes, or proof-of-concepts. Accepted and presented demos will be described in short papers that will be submitted for inclusion into IEEE Xplore.

CALL FOR CHALLENGES

The organizing committee invites proposals for challenges addressing problems that will engage and excite the information forensics and security research community. Organizers should design challenges to make the results replicable by others, thus requiring a formal benchmark (which may include a test set). Organizers will have to evaluate the submitted results/models, and will be asked to summarize the outcomes in a paper to be presented at the workshop and submitted for inclusion into IEEE Xplore.

CALL FOR PAPERS

Prospective authors are invited to submit research papers be up to 6 double-column pages, including references and figures, presenting original works and addressing Information Forensics and Security aspects in a broad sense. The review process will be single-blind (author’s names can be reported in the submitted papers). Accepted and presented papers will be submitted for inclusion into IEEE Xplore. It is planned to organize a special issue with invitations for a selection of the best presented papers.

Topics of interest include, but are not limited to, the use or advances of the following areas:

•         Anonymization and Data Privacy

•         Applied Cryptography

•         Biometrics

•         Communication and Physical-Layer Security

•         Cybersecurity

•         Forensic Analysis

•         Hardware Security

•         Multimedia Content Hash

•         Network Security

•         Surveillance

•         Usability and Human Factors

•         Watermarking and Data Hiding

•         Adversarial Machine Learning

•         Steganography and Covert Communications

•         Information Theoretic Security

•         Security of Large Networked Systems

IMPORTANT DATES

•         Special Session proposal: March 18, 2024

•         Special Session notification: March 29, 2024

•         Challenge proposal: April 15, 2024

•         Challenge notification: April 19, 2024

•         Tutorial proposal: June 2, 2024

•         Tutorial notification: June 7, 2024

•         Paper submission: June 30, 2024

•         Reviews notification: September 2, 2024

•         Rebuttal/Challenge paper deadline: September 6, 2024

•         Acceptance notification: September 13, 2024

•         Camera-ready submission: September 27, 2024

•         Early registration: October 4, 2024

•         Workshop: December 2 – 5, 2024

CONTACTS

For further information, please visit https://wifs2024.uniroma3.it or send an email to wifs2024.contacts@uniroma3.it.

 

__________________________________________________________________

Emanuele Maiorana Ph.D.
Roma Tre University,
Via Vito Volterra 62, 00146 Roma, Italy
Ph.                       +39 0657337365
Lab URL              http://biomedia4n6.uniroma3.it

Personal             http://biomedia4n6.uniroma3.it/maiorana.html

 

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