|
Registration is open – SEED ’24 Valencia
January 18th, 2024 
Daniela Lopez de Luise 
ReFIP @ FG 2024: First International Workshop on Responsible Face Image Processing
January 18th, 2024 Daniela Lopez de Luise
*** Call for Papers ***
First International Workshop on Responsible Face Image Processing (ReFIP 2024)
to be held as part of the 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024)
Workshop: May 27 or May 31, 2024 (to be defined) – Istanbul, Turkey
Workshop on Intelligent Cross-Data Analysis and Retrieval for a Smart and Sustainable Society
January 18th, 2024 Daniela Lopez de Luise Call for Papers: Workshop on Intelligent Cross-Data Analysis and Retrieval for a Smart and Sustainable Society
We invite submissions for our workshop that focuses on the relevance and significance of multimedia analytics and retrieval in the context of the broader societal landscape. Over the past decade, significant advancements have been made in multimedia analytics and retrieval, allowing for precise and rapid extraction of data insights. This progress has led to numerous applications that enhance various aspects of human lives. However, the diverse perspectives embedded in multimedia and other data types present a complex puzzle that requires assembly to address human-centered challenges effectively.
The workshop aims to bring together individuals working with multimedia and other data types across diverse research domains and disciplines, such as wellbeing, disaster prevention & mitigation, mobility, food computing, security, and smart cities. We encourage contributions that explore the originality and novelty of proposed topics related to the integration of diverse multimodal data.
The current era witnesses the exponential growth of sensors, communication technologies, and social networks, enabling individuals to collect data swiftly from themselves and their environments. Coupled with artificial intelligence and advanced application techniques, data has evolved into a more intelligent form, providing valuable information and knowledge for near-human cognitive analytics and retrieval. This intelligent data collection offers new opportunities to better understand the intricate associations between human beings and their surroundings.
The workshop specifically calls for submissions addressing the analysis and retrieval of cross-data from different perspectives, focusing on wearable and ambient sensors, lifelog cameras, social networks, and surrounding sensors. While several investigations have explored individual perspectives, there is a limited focus on analyzing and retrieving cross-data to maximize the benefits for human beings. Researchers are invited to contribute to this endeavor, aiming to create a smart and sustainable society by efficiently utilizing intelligent cross-data analysis and retrieval.
Possible application domains for submitted works include, but are not limited to, well-being, disaster prevention & mitigation, mobility, and food computing. We encourage researchers from various backgrounds to engage in this workshop, fostering collaboration and innovation in the field of intelligent cross-data analysis and retrieval.
Example topics of interest include but is not limited to the following
– Event-based cross-data retrieval, data mining, and AI technology.
– Complex event processing for linking sensors data from individuals, regions to broad areas dynamically.
– Transfer Learning and Transformers.
– Hypotheses Development of the associations within the heterogeneous data.
– Realization of a prosperous and independent region in which people and nature coexist.
– Applications leverage intelligent cross-data analysis for a particular domain.
– Cross-datasets for Repeatable Experimentation.
– Federated Analytics, Federated Learning, and Edge AI for cross-data.
– Privacy-public data collaboration.
– Integration of diverse multimodal data.
Important dates:
– February 15, 2024. Workshop Paper Submission.
– March 31, 2024. Notification of Acceptance for Workshop Papers.
– April 25, 2024. Camera-Ready Workshop Papers Due.
– TBA. ICMR 2024 Workshops Day.
Hybrid Artificial Intelligence Workshop : From knowledge and human integration to model explanation – 27 and 28 march 2024 – CentraleSupélec – Paris Saclay University
January 18th, 2024 Daniela Lopez de Luise Dear all,
We wish you an happy new year and we are pleased to announce the HyCHA workshop : https://hycha24.sciencesconf.org/
Hybrid Artificial Intelligence (AI) broadly encompasses all approaches that combine several AI methods, whether symbolic or numerical, qualitative, semi-qualitative or quantitative. It is a field that is currently enjoying renewed interest, particularly because the hybridization is a way of addressing the respective weaknesses of different approaches and tackling certain current AI challenges such as trust and explainability. The Research Group (RG), Institute and Ecole:
- the “Reasoning, Learning and Decision in Artificial Intelligence” RADIA research group, and its “Hybrid AI Models” MHyAI and “Explicability and Trust” EXPLICON research group,
- the “Information, Learning, Signal, Image, viSion” IASIS research group,
- IRT SystemX, as part of its IA2 (Artificial Intelligence and Augmented Engineering) research program and the Confiance.ai consortium it leads, and,
- CentraleSupélec, and its MICS laboratory
are jointly organizing a conference on the topic of Hybrid AI: from knowledge and human integration to model explanation, to be held at CentraleSupélec's Paris-Saclay site. They will take place on March 27 and 28, 2024.
Contributions, including work in progress and preliminary results, are invited on this topic. You are invited to submit your contributions (in English or French) in the form of a 1/2-page to 1-page free-format abstract or poster by February 02, 2024. Submissions and selection notifications will be processed as they arise.
|
Submission deadline |
2024/03/02 |
|
Event |
From 2024/03/27 to 2024/03/28 |
Program Committee:
- Patrice Aknin, (IRT SystemX, Paris-Saclay)
- Jenny Benois-Pineau (Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR5800)
- Alexandre Benoit (Savoie Mont Blanc University)
- Isabelle Bloch, (LIP6, Sorbonne University)
- Zied Bouraoui, (Artois University, CRIL-CNRS UMR 8188).
- Romain Bourqui (Bordeaux Univ., CNRS, Bordeaux INP, LaBRI, UMR5800)
- Sebastien Destercke (UTC, CNRS, Heudiasyc, UMR 7253)
- Damien Garreau (LJAD, UMR7351, Côte d’Azur University, Inria)
- Romain Giot (Bordeaux Univ., CNRS, Bordeaux INP, LaBRI, UMR5800)
- Céline Hudelot (MICS, Paris-Saclay University)
- Mostepha Khouadjia (IRT SystemX, Paris Saclay)
- Hervé Le Borgne (CEA List, Paris-Saclay)
- Juliette Mattioli (Thales)
- Wassila Ouerdane (MICS, Paris-Saclay University)
- Nicolas Thome (ISIR, Sorbonne University)
International Summer School Multimodal Foundation Models and Generative AI “MFMGenerativeAI” 2024
January 18th, 2024 Daniela Lopez de Luise ******************************************************
International Summer School
Multimodal Foundation Models and Generative AI “MFMGenerativeAI” 2024
Rabat (Morocco), April 29 – May 3, 2024
******************************************************
Early registration: February 29, 2024
******************************************************
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
Applications should be issued by the school website https://sites.google.com/view/multimodal-foundation-models-a/application?authuser=0
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
Design by 2b Consult