IEEE CASE 2021 Call of Paper Special Session Scanning Electron Microscopy Images

February 16th, 2021 Daniela Lopez de Luise
IEEE International Conference on Automation Science and Engineering (CASE case2021.org) is the flagship automation conference of the IEEE Robotics and Automation Society and constitutes the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners. IEEE CASE 2021 will be held in Lyon, France, on August 23-27, 2021.

Special Session Call for Papers

Analysis of microscopy images for defect detection and structure recognition: from the acquisition to a high-level interpretation

 

Sponsors: the special session is sponsored by FA4.0 Eureka project.

 

Goal of the Special Session: For the improvement of the reliability of electronic devices, failure analysis has a fundamental role and must take its right place in industry 4.0, with the help of artificial intelligence. Failure analysis tools can most of the time be considered microscopes including sensors. So, they will all then benefit from progresses made in the work carried out to eliminate electronic noise from the acquired signal as well as machine learning processing. Machine learning for images and data will also enhance the quality of acquired data and their exploitation. Furthermore, these data driven approaches will achieve increasingly accurate results for failure analysis tasks as they already do across various application domains like object detection, anomaly detection or image segmentation.

For this special session, our major focus will concern image data from different imaging sources often used for failure analysis. This includes (for example) light optical microscopy, X-ray tomography/microscopy, scanning acoustic microscopy or scanning electron microscopy and novel concepts for automated sample-navigation using dedicated focused ion beam (FIB) and precise laser milling tools. Works can deal with the whole framework concerning images, from the acquisition to a high-level semantic analysis, as noise modeling in electronic sensors can help to make appropriate processing of the data. We are also interested by fundamental approaches that are promising to be applied on this kind of data.

 

Hereafter, a non-exhaustive list of topics:

·       noise modeling in sensors,

·       denoising methods based in inverse problem or deep learning-based approaches,

·       simulation of signals and images for the training of a convolutional neural network for denoising and detection,

·       automated pattern recognition of marks or auto-alignment of the ROI,

·       end-point-detection for Box-Milling applications for cross-sectional analysis using SEM,

·       machine/deep learning methodology for anomaly/default detection and recognition,

·       machine/deep learning methodology for quantification of anomalies/defects by means of image segmentation,

·       domain adaptation for the analysis of data with no annotation or a few annotations,

·       …

 

Organizers:                

Andreas Jansche, Matworks GmbH, andreas.jansche@matworks.de

Olivier Alata, Hubert Curien Laboratory, Saint-Etienne, France, olivier.alata@univ-st-etienne.fr

Pascal Gounet, STMicrolectronics, pascal.gounet@st.com

 

Dates and submission procedure:

February 14, 2021: submission intention with title and short abstract (100 words) to the session chairmen.

March 1st, 2021: Regular & special session paper submission

May 15, 2021: Paper acceptance notification

June 15, 2021: Final paper submission

 

Regular papers can be submitted with a length of 6-8 pages. For the final submission, a manuscript should be of 6 pages, with 2 additional pages allowed but at an extra charge.

 

There is a “Special Session Presentation-Only” option. Only a two-page abstract is required. Accepted submissions will make oral presentations at the conference and be listed in the final program, but will not appear in IEEE Xplore.

 

Submission procedure and more information on the web site https://case2021.sciencesconf.org/


Olivier Alata


Full Professor at TELECOM Saint-Etienne (Engineering school in telecommunication)
Lab. Hubert Curien, UMR CNRS 5516 (Tel. : +33(0)469663262)
Jean Monnet University, Saint-Etienne – COMUE Lyon University, France

Read More »

ACDL2021, 4th Advanced Online & Onsite Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Siena – Tuscany, Italy

February 16th, 2021 Daniela Lopez de Luise
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
ACDL 2021 LECTURERS:  
Each Lecturer will hold three/four lessons on a specific topic.
* Pierre Baldi, University of California Irvine, USA
* Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation
* Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh
* Silvia Chiappa, DeepMind, London, UK
* Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI
* Marco Gori, University of Siena, Italy
* Georg Gottlob, Computer Science Dept, University of Oxford, UK
* Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK   
* Panos Pardalos, University of Florida, USA
* Daniela Rus, MIT, USA) Director of CSAIL (TBC)
* Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence
* Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA
* Naftali Tishby, Hebrew University, Israel  
* Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, Tübingen, * Germany
* Mihaela van der Schaar, University of Cambridge, UK
More Keynote Speakers to be announced soon.
ACDL 2021 TUTORIAL SPEAKERS:
* Roman Belavkin, Middlesex University London, UK
* Martín Gómez Ravetti, Federal University of Minas Gerais, Brazil
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.
Read More »

EARTHVISION 2021 @ CVPR – 2nd Call for Papers

February 16th, 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/

Read More »

[Courses] VISMAC2020 Phd summer school – UPDATES

February 16th, 2021 Daniela Lopez de Luise
____________________________________________

V I S M A C (VISione delle MACchine)
[in English, “Machine Vision”]

International Summer School
September 21st – 24th, Palermo, Italy

https://math.unipa.it/vismac2020
____________________________________________

=== UPDATES regarding COVID-19 (coronavirus) ===

VISMAC2020 is half a year away and hopefully the COVID-19 emergency will
be over by then. We would like to thank all those who have already
expressed interest in attending the VISMAC summer school. The school is
now set to be held from the 21st to the 24th of september 2021, either
as a full online event or in mixed online / live mode, depending on the
developments related to COVID-19 pandemic.

Please, feel free to express your interest by emailing us: we will add
you to our mailing list and keep you promptly informed of any new
development.

Take care of yourselves, and see you soon.

=== Aim & Scope ===

The international summer school VISMAC “VISione delle MACchine” (in
English, “Machine Vision”) is organized every two years by the
“Associazione Italiana per la ricerca in Computer Vision, Pattern
recognition e machine Learning” (CVPL – ex-GIRPR) affiliated to
International Association for Pattern Recognition (IAPR). It represents
a stimulating opportunity for doctoral students, young researchers from
universities, research institutions and industry. The primary objective
of the Summer School is to provide a common scientific and cultural
background on the subjects of computer vision and pattern recognition.

This edition of VISMAC will mainly focus on four renowned research
topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics.

=== List of Speakers ===

Bio-imaging
– Carlo Sansone, UNINA Federico II
– Elena Casiraghi, UNIMI
– Paolo Soda, UCBM
– Francesco Tortorella, UNISA

Automotive
– Alberto Broggi, UNIPR
– Sergio Saponara, UNIPI
– Roberto Vezzani, UNIMORE
– Alessandro Rizzi, UNIMI

Cultural Heritage
– Gabriele Guidi, POLIMI
– Carlo Colombo, UNIFI
– Andrea Fusiello, UNIUD
– Francesca Odone, UNIGE

Image forensics
– Francesco De Natale, UNITN
– Gian Luca Marcialis, UNICA
– Luisa Verdoliva, UNINA Federico II
– Jerian Martino, Amped Software

=== Registration ===

School registrations are limited to forty participants, on a FIFS basis.

Accepted students can submit a poster to present their research
activity. The best poster selected by the school committee will receive
a prize sponsored by CVPL.

Registration info and poster guidelines will come soon.

=== Scientific Committee ===

– Domenico Tegolo, UNIPA
– Cesare Valenti, UNIPA
– Roberto Pirrone, UNIPA
– Filippo Stanco, UNICT

=== Local Committee ===

– Marco E. Tabacchi, UNIPA
– Fabio Bellavia, UNIPA

=== Sponsors ===

– CVPL (ex-GIRPR) – Associazione Italiana per la ricerca in Computer
Vision, Pattern recognition e machine Learning
– Universita' degli Studi di Palermo
– Universita' degli Studi di Catania
– CTC – Centro Interdipartimentale di Tecnologie della Conoscenza,
Universita' degli Studi di Palermo
– DMI – Dipartimento di Matematica e Informatica, Universita' degli
Studi di Palermo
____________________________________________

Contacts
https://math.unipa.it/vismac2020
vismac2020@gmail.com

Read More »

Free Clinical Day workshop at IEEE ISBI’21

February 16th, 2021 Daniela Lopez de Luise

International Conference IEEE ISBI'21 organize a one day free workshop “Clinical Day” on

AI-based approaches to biomedical image analysis in cancer.
see  attached file.
Registration is free but mandatory at https://biomedicalimaging.org/2021/

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult