4th Advanced Online & Onsite Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Siena – Tuscany, Italy

February 2nd, 2021 Daniela Lopez de Luise
#ACDL2021, 4th Advanced Online & Onsite Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Siena – Tuscany, Italy 
#ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders
ACDL 2021 – A Unique Experience:
#DataScience, #MachineLearning & #ArtificialIntelligence with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano
(Online attendance available) 
Certosa di Pontignano, Siena – #Tuscany, Italy
July 19-23
ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse
REGISTRATION:
Early Registration: by Monday February 15, 2021 (GMT+01)
DEADLINES:
o Early Registration: by Monday February 15, 2021 (GMT+01)
o Oral/Poster Presentation Submission Deadline: Monday February 15, 2021 (GMT+01)
o Late Registration: from Tuesday February 16, 2021
o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021
o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021
LECTURERS:  
Each Lecturer will hold three/four lessons on a specific topic.
LECTURERS:  
* Pierre Baldi, University of California Irvine, USA
Topics:  Artificial Intelligence, Deep Learning.
o Lecture 1: Deep Learning in Science 1/3 
o Lecture 2: Deep Learning in Science 2/3 
o Lecture 3: Deep Learning in Science 3/3 
* Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation
Topics: Quantum Machine Learning.
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
* Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh
Topic: Machine Learning.
o Lecture 1: TBA
o Lecture 2: TBA
* Silvia Chiappa, DeepMind, London, UK
Topics: Bayesian & causal reasoning, graphical models and variational inference.
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
* Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI
Topics: AI, Meta-Search, Machine Reading, Open Information Extraction.
o Lecture 1: TBA
o Lecture 2: TBA
* Marco Gori, University of Siena, Italy
Topics:  Machine Learning, Vision.
o Lecture 1: TBA
o Lecture 2: TBA
* Panos Pardalos University of Florida, USA
Topics: Data Science, Optimization, Networks.
o Lecture 1: TBA
o Lecture 2: TBA
* Daniela Rus MIT, USA) Director of CSAIL (TBC)
Topics: Science of Autonomy, AI & ML, Robotics, Systems & Networking.
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
* Silvio Savarese Stanford, University, USA Institute for Human-Centered Artificial Intelligence
Topics: Computer Vision, Artificial Intelligence.
o Lecture: TBA
* Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA
Topics: Computational Neuroscience, Data Science, Probabilistic Computation, Learning & Plasticity.
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
* Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, Tübingen, Germany
Topics: Machine Learning, Probabilistic Methods, Ethical Machine Learning.
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
* Mihaela van der Schaar, University of Cambridge, UK
Topics: Machine Learning for Medicine, Data Science and decisions, Artificial Intelligence .
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
More Keynote Speakers to be announced soon.
TUTORIAL SPEAKERS:
* Roman Belavkin, Middlesex University London, UK
Topics: Information Theory, Mathematics for Machine Learning.
o Lecture 1: TBA
o Lecture 2: TBA
o Lecture 3: TBA
* Martín Gómez Ravetti, Federal University of Minas Gerais, Brazil
Topic: Data Science.
o Lecture 1: TBA
o Lecture 2: TBA
More Tutorial Speakers to be announced soon.
PAST LECTURERS:
* Ioannis Antonoglou, Google DeepMind, UK
* Igor Babuschkin, DeepMind – Google, London, UK
* Pierre Baldi, University of California Irvine, USA
* Roman Belavkin, Middlesex University London, UK
* Yoshua Bengio, University of Montreal, Canada
* Michael Bronstein, Twitter & Imperial College London, UK
* Sergiy Butenko, Texas A&M University, USA
* Giuseppe Di Fatta, University of Reading, UK
* Marco Gori, University of Siena, Italy
* Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute
* Phillip Isola, MIT, USA
* Leslie Kaelbling, MIT – Computer Science & Artificial Intelligence Lab, USA
* Diederik P. Kingma, Google Brain, San Francisco, CA, USA
* Ilias S. Kotsireas, Wilfrid Laurier University, Canada
* Risto Miikkulainen, University of Texas at Austin, USA
* Peter Norvig, Director of Research, Google
* Panos Pardalos, University of Florida, USA
* Alex 'Sandy' Pentland, MIT & Director of MIT’s Human Dynamics Laboratory, USA
* José C. Principe, University of Florida, USA
* Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA
* Dolores Romero Morales, Copenhagen Business School, Denmark
* Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA
* Guido Sanguinetti, The University of Edinburgh, UK
* Josh Tenenbaum, MIT, USA
* Naftali Tishby, Hebrew University, Israel
* Mihaela van der Schaar, University of Cambridge
* Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
* Oriol Vinyals, Google DeepMind, UK
SCOPE:
MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime.
 
VENUE:
The venue of ACDL 2021 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens.
ACCOMMODATION:
PAST EDITIONS 
REGISTRATION:
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
Anyone interested in participating in ACDL 2021 should register as soon as possible!
Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in 3D or 2D 🙂 in Tuscany next July!
                   ACDL 2021 Organizing Committee.
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CfP for EUSIPCO 2021 Special Session “Image and video analysis for autonomous drones” (Deadline February 12, 2021)

January 25th, 2021 Daniela Lopez de Luise

you are invited to submit an original, unpublished technical paper to the Special Session “Image and video analysis for autonomous drones”
of EUSIPCO 2021: https://eusipco2021.org/. Conference submission deadline is February 12, 2021.

Autonomous Unmanned Aerial Vehicles (UAVs, or drones) are becoming more and more important to many industries, promising simplified logistics, cost reductions, increased safety for humans, quicker response times and more accurate results, when compared to traditional procedures. Drones are highly useful thanks to their easy deployment, their aerial point-of-view and their ability to access difficult-to-reach spaces. Recent advances in aerial robotics and AI have already pushed drone automation to an unprecedented degree in various application domains, such as infrastructure inspection and maintenance, aerial cinematography, search and rescue operations, etc.

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CBMI 2021 BASED MULTIMEDIA INDEXING – deadline postponed to January 31st

January 21st, 2021 Daniela Lopez de Luise
CALL FOR PAPERS – deadline postponed to January 31st
CONTENT-BASED MULTIMEDIA INDEXING
University of Lille, Cité scientifique, Villeneuve d‘Ascq, France
28-30 June 2021
Submission Deadline:  15 January 2021  31 January 2021
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

CBMI (eighteenth edition) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis…

The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France, following the successful previous editions of Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, Veszprem 2013, Klagenfurt 2014, Prague 2015, Bucharest 2016, Firenze 2017, La Rochelle 2018, and Dublin 2019.

Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval. Additional special sessions are planned in areas such as deep learning for retrieval, social media retrieval, cultural heritage, surveillance and security.

Authors can submit full length (6 pages – to be presented as oral presentation) or short papers (4 pages – to be presented as posters). Papers can be submitted to the regular paper sessions, demo session, or to one of the special sessions. Additionally demonstration papers (up to 4 pages) may also be submitted that highlight interesting and novel demos of CBMI-related technologies. The submissions are peer reviewed in a single blind process. The language of the conference is English. The CBMI 2021 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings.

The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP – Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher).

Topics of interest to the CBMI community include, but are not limited to, the following:
• Audio and visual and multimedia indexing
• Multimodal and cross-modal indexing
• Deep learning for multimedia indexing
• Visual content extraction
• Audio (speech, music, etc) content extraction
• Identification and tracking of semantic regions and events
• Social media analysis
• Metadata generation, coding and transformation
• Multimedia information retrieval (image, audio, video, text)
• Mobile media retrieval
• Event-based media processing and retrieval
• Affective/emotional interaction or interfaces for multimedia retrieval
• Multimedia data mining and analytics
• Multimedia recommendation
• Large scale multimedia database management
• Summarization, browsing and organization of multimedia content
• Personalization and content adaptation
• User interaction and relevance feedback
• Multimedia interfaces, presentation and visualization tools
• Evaluation and benchmarking of multimedia retrieval systems
• Applications of multimedia retrieval, e.g., medicine, lifelogs, satellite imagery, video surveillance
• Cultural heritage applications

## DATES:
Conference date : 28-30 June 2021, at Lille, France.
Contact: cbmi2021-organisation@univ-lille.fr
Deadline for regular paper and demo submissions : 15 January 2021 31 January 2021
Notification of acceptance : 15 March 2021
Camera-ready papers due : 30 March 2021

## STUDENT PARTICIPATION:
We strongly encourage students to participate in CBMI-21 event and submit their research. We strongly believe in their power and they are the future of the research in content-based multimedia indexing. For these reasons and for the first time in the history of the conference, the 2021 edition of CBMI with support of ACM SIGMM (www.sigmm.org), will sponsor several students, authors of papers submitted and accepted by CBMI-21, and being corresponding author of a paper. The student status will be recognized only to PhDs and master students. Certain students will be totally sponsored, including registration fees, accommodations and travel expenses. Other students will be partly sponsored, including substantial reduction in the registration fees, no cut-backs to the students’ conference experience, and budget accommodation options and arrangement for room sharing.

Furthermore, in this edition, prizes will be awarded to the best student poster presentations of CBMI2021. All the participants registered to CBMI2021 as student will be automatically admitted to the selection for the awards. All the papers accepted as poster presentation by the Technical Program Committee (TPC), from students will be considered for the awards, given that a full-paper manuscript has been submitted.

The student poster awards committee will evaluate the nominated contributions during the poster sessions of CBMI2021. The evaluation criteria will be independently established by the Committee before the conference and will take into account the scientific content as well as the technical quality of the posters.

The Student Poster Awards will be announced during the Gala Dinner, on June 29th.

## SPECIAL SESSIONS

Three special sessions will also be organized :

* Bio-inspired circuits, systems and algorithms for multimedia
* Content-based learning in astrophysics (CoBLA)
* Mining and indexing multimedia data for remote sensing of the environment and our changing planet

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EARTHVISION 2021 @ CVPR – Call for Papers

January 21st, 2021 Daniela Lopez de Luise

CALL FOR PARTICIPANTS & PAPERS
 
EarthVision 2021 – Large Scale Computer Vision for Remote Sensing Imagery Workshop
in conjunction with CVPR 2021, June 2021, virtual.

Website: https://www.grss-ieee.org/earthvision2021/

AIMS AND SCOPE
Earth Observation (EO)/Remote Sensing is an ever-growing field of investigation where computer vision, machine learning, and signal/image processing meet. The general objective is to provide large-scale, homogeneous information about processes occurring at the surface of the Earth exploiting data collected by airborne and spaceborne sensors. Earth Observation implies the need for multiple inference tasks, ranging from detection to registration, data mining, multi-sensor, multi-resolution, multi-temporal, and multi-modality fusion, and regression, to name just a few. It comprises ample applications like location-based services, online mapping services, large-scale surveillance, 3D urban modelling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modelling, etc. The sheer amount of data calls for highly automated scene interpretation workflows.

This workshop, held for its fifth edition at the CVPR 2021, aims at fostering collaboration between the computer vision as well as machine learning disciplines and the remote sensing community to boost automated interpretation of EO data. EarthVision will additionally help build cooperation within the CVPR community for this highly challenging and quickly evolving field that has a big impact on human society, economy, industry, and the planet.

We invite contributions in the fields of (not exhaustive list):
– Super-resolution in the spectral and spatial domain
– Hyperspectral and multispectral image processing
– 3D reconstruction from aerial images
– Feature extraction and learning
– Semantic classification of UAV / aerial and satellite images and videos
– Deep learning tailored for Earth Observation
– Domain adaptation and concept drift
– Human-in-the-loop
– Multi-resolution, multi-temporal, multi-sensor, multi-modal processing
– Public benchmark data sets: Training data standards, testing & evaluation metrics, as well as open source research and development.

IMPORTANT DATES
Full paper submission: March 7, 2021
Notification of acceptance: April 7, 2021
Camera-ready paper: April 14, 2021
Workshop (full day): June 2021

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 2021 instructions. All manuscripts will be subject to a double-blind review process, i.e. authors must not identify themselves on the submitted papers.

Papers are to be submitted using the dedicated submission platform on the Workshop website (https://www.grss-ieee.org/earthvision2021/submission.html). By submitting a manuscript, the authors guarantee that it has not been previously published or accepted for publication in a 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
– Naoto Yokoya, Uni. of Tokyo & RIKEN, Japan
– Nathan Jacobs, Uni. of Kentucky, USA
– Fabio Pacifici, Maxar, USA
– Mariko Burgin, NASA JPL, USA
– Loïc Landrieu, IGN, France
– Charlotte Pelletier, UBS Vannes, France
– Maryam Rahnemoonfar, University of Maryland, USA

CHALLENGE
EarthVision 2021 will again feature interesting challenges addressing modern problems of Remote Sensing and Earth Observation. Stay tuned for detail!

SPONSORING
The event is co-organized by the Image Analysis and Data Fusion Technical Committee of the IEEE-GRSS, and it is sponsored by

Gold sponsors:
ESA (http://www.esa.int/),
the CosmiQ Works team of IQT Labs (http://www.cosmiqworks.org/),
Apple (www.apple.com),

Bronze sponsors:
Kitware (https://www.kitware.com/).

Website: https://www.grss-ieee.org/earthvision2021/

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S+SSPR 2020 [Program and Registration]

January 21st, 2021 Daniela Lopez de Luise
Dear all,

We are pleased to inform you that the program of S+SSPR 2020 is now available at https://www.dais.unive.it/sspr2020/program/

The conference will take place over 2 days, Thursday 21 and Friday 22 January. Each day will see a 1 hour online discussion session (on Zoom) sandwiched between two keynotes, one in the morning and one in the afternoon (CET).

We have an outstanding line up of speakers for this edition of S+SSPR: Michael Bronstein (Twitter, Imperial College London, and University of Lugano), Nicholas Carlini (Google Inc.), Fabio Roli (University of Cagliari, winner of the Pierre Devijver award), and Max Welling (Qualcomm and University of Amsterdam). In addition to Zoom, live-streams of the keynotes will be available on the Youtube channel of S+SSPR 2020 (https://www.youtube.com/channel/UCjA0Mhynad2FDlNaxzqGLhQ).

Video presentations of the 35 accepted papers will be made available on the conference Youtube channel later this week. The online discussion sessions during the conference will then provide an opportunity to interact with the authors.

Attending this edition of S+SSPR is free of charge. Please register your interest in attending using the following Eventbrite page: https://www.eventbrite.co.uk/e/ssspr-2020-tickets-135640218545 (authors of accepted papers do not need to register via Eventbrite)

Looking forward to welcoming you to S+SSPR 2020,
S+SSPR organising committee

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