Conference on Robot Learning 2021

April 28th, 2021 Daniela Lopez de Luise

The fifth iteration of the Conference on Robot Learning will be held in hybrid mode in November this year in London, the UK, but with virtual access for remote attendees.

 

This year, we are soliciting two types of submissions: contributed papers, and blue-sky positional papers. All submissions will be evaluated according to their technical novelty, quality, potential impact, and clarity at the intersection at robotics and machine learning.

 

Submissions in the contributed paper category will need to demonstrate the relevance of proposed models, algorithms, data sets, and benchmarks to robotics. The authors are encouraged to report real-robot experiments or provide evidence of transfer to real robots for simulation experiments. The authors are also encouraged to submit code as supplementary materials.

 

The blue-sky papers should propose visionary ideas, paradigm shifts, thought provoking ideas, or novel point of view to either methods or problem domains at the intersection of robotics and machine learning.

 

All accepted submissions will be published in the JMLR Workshop & Conference Proceedings series. The accepted blue sky contributions will be presented at a blue-sky oral session, while the contributed papers will be presented either as posters, spotlights or long talks in the plenary session.

 

Use of OpenReview:

 

This year, to encourage high quality reviews and interaction between the authors and reviewers, CoRL will be using OpenReview. The anonymized submissions, reviews and rebuttals will be public throughout the submission process. The authors will have an opportunity to update the submissions during the rebuttal period. The accepted papers will be de-anonymized and remain public, while the rejected submissions will be made private.

 

Considerations for CoRL2021 and the Pandemic:

 

The CoRL 2021 organising committee and board acknowledge the challenges in producing high-quality experimental results during the social distance policies implemented in different parts of the world. Like last year, at CoRL2020, authors affected by these policies are encouraged to submit a one-page supplemental material explaining the rationale why the evaluation methodology is sufficient, how it is deficient compared to the real-world experiments, and how their method will be experimentally validated with real data.

 

Key Deadlines:

 

The paper submission deadline is June 18th, 23:59 Pacific Daylight Time (UTC-7)

 

For more information, please refer to the call for papers: https://www.robot-learning.org/author-information/call-for-papers

 

Best regards,

 

The 2021 CoRL Organizing Committee (https://www.robot-learning.org/committees)

 

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Call for papers MICAI-2021

April 28th, 2021 Daniela Lopez de Luise

MICAI-2021

    20th Mexican International Conference on Artificial Intelligence

    October 25 to 30, 2021, virtual + Mexico City, Mexico

 

    Publication: Springer LNAI (WoS, Scopus, EI), journals (including ISI JCR / Scopus)

 

    Submission: June 13: Abstract (Draft / Expression of Interest) / June 20: Full text

 

    www.micai.org/2021

 

 

== GENERAL INFORMATION

 

Topics: All areas of Artificial Intelligence, Computational Intelligence, Machine Learning, Data Mining, Fuzzy Systems, as research as applications.

 

Workshops. Tutorials. Doctoral Consortium. Best papers awards.

 

 

== KEYNOTES

 

To be announced: five world-class experts in AI; see the webpage.

 

 

== PROCEEDINGS

 

Springer LNAI (WoS, Scopus, EI);

 

Special issues of journals (ISI JCR / WoS, Scopus: anticipated).

 

Workshops: See the respective calls for papers on the webpage.

 

 

== MODALITY, VENUE, AND TOURS

 

Modality: virtual for those who prefers not to travel;

    if the conditions allow, also on-site for those who prefers to travel to Mexico City.

 

Venue (in the case of on-site activities, if the conditions allow):

    Centro de Investigacion en Computacion, Instituto Politecnico Nacional, Mexico City, Mexico. 

 

Tours (in the case of on-site activities, if the conditions allow):

    Pre-Hispanic city of Teotihuacan: more than 2000 years old pyramids, a UNESCO World Heritage site.

    Teotihuacan is one of the most important archaeological sites in the Americas.

 

 

== DEADLINES

 

June 13, 2021: Abstract (draft / expression of interest: just a general idea of what your paper will be about).

    Why not submitting it right now? You can change it later if needed.

 

June 20, 2021: Full text for double-blind review.

 

July 17, 2021: Notification of acceptance.

 

August 08, 2021: Camera-ready and payment deadline.

 

 

== CALL FOR WORKSHOPS and TUTORIALS

 

Submit your workshop or tutorial proposal, see the calls on the webpage.

 

 

PLEASE CIRCULATE this CFP among your colleagues and students.

 

We apologize if you receive multiple copies.

 

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ISSDS proceedings announcement and deadline reminder

April 28th, 2021 Daniela Lopez de Luise

We hope this finds you thriving and healthy. 

 

We are happy to announce that post-proceedings of ISSDS will be published in “Archives of Data Science Series A”. 

If you plan to join the conference/submit an abstract, please remind the deadline is April 30, 2021.

 

 

General Information

 

We are looking forward to the discussion with you!

 

Best regards

 

Prof. Dr. Thilo Stadelmann (ZHAW, Prof. AI/ML, Scientific Director ZHAW digital)

Dr. Frank-Peter Schilling (ZHAW, Senior Researcher Deep Learning)

Prof. Dr. Rudolf Fuechslin (ZHAW, Head of Applied Complex Systems Science)

Dr. Dandolo Flumini (ZHAW, Assoc. Prof., Applied Complex System Science)

 

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CFP: LOD 2021 – Special Session on Data Science for Sustainable Cities – Deadline April 29

April 28th, 2021 Daniela Lopez de Luise
Special Session on Data Science for Sustainable Cities
@ 7th International Online & Onsite Conference on Machine Learning,
Optimization & Data Science (LOD 2021)
October 5-8, 2021
Grasmere, Lake District, England – UK
https://lod2021.icas.cc/special-sessions/

Conference post-proceedings: Springer-Nature Lecture Notes in Computer Science (LNCS)

A selection of the best papers will be invited to submit an extended
version for publication on
Frontiers in Sustainable Cities – Data Analysis and Data-Driven Modeling for Smart Cities
https://www.frontiersin.org/research-topics/17634/data-analysis-and-data-driven-modeling-for-smart-cities
***********************************************************************************************************

We invite submissions of papers, abstracts, posters, talks and demos on all topics related to the special session.


** Important Dates **
* Paper Submission Deadline: **Thursday April 29, 2021** (Anywhere on Earth)
* Abstract/Poster/Demo Submission Deadline: **Sunday May 9, 2021**
(Anywhere on Earth)
* Reviews Released to Authors: by Tuesday June 15, 2021
* Rebuttal Due: by Tuesday June 22, 2021
* Decision Notification to Authors: by Wednesday June 30, 2021
* Camera Ready Submission Deadline: by Saturday July 10, 2021



** Aims and Scope **
The amount of data generated nowadays by society, city infrastructures, and digital technologies around us is astonishing. The analysis, modeling and knowledge extraction of/from these data is a key asset for understanding urban environments and improving the efficiency of urban mobility, air quality and other forms of sustainability. This special session provides a platform to share high-quality research ideas related to data science methods and technologies for urban environments, a topic of crucial
importance for many Sustainable Development Goals (i.e., SDG 7 on
Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a meeting point for researchers in academia and industry who develop methodologies and technologies for data science, machine learning and artificial intelligence with specific applications in smart and sustainable cities.


** Topics **
– Data acquisition and data analysis in sustainable cities
– Data-driven predictive modeling for urban and built environments
– Time series analysis and forecasting for urban environments
– Anomaly detection for multivariate sensor data
– Robust machine learning and model verification
– ICT platforms for collecting, visualizing and analyzing data in urban
environments
– Data analysis for mobility and transportation
– Data analysis for air quality monitoring
– Data analysis for heating management
– Data analysis for smart buildings and smart grids
– Model explainability and interpretability in urban applications
– Predictive modeling for district heating networks
– Predictive modeling for energy-efficient cities
– Innovative sensing platforms (e.g., mobile sensors) for data gathering
– Data gathering and management for citizen science in urban environments
– Data security, privacy and blockchain
– Analytics for municipalities and urban stakeholders
– Cloud and big data platforms
– Smart hospitals and healthcare for sustainable cities
– Data-driven modeling for urban complex systems
– Data analytics for emergency management
– Urban Analytics
– Information diffusion and social networks for sustainable cities
– Epidemic data analysis in urban environments
– City monitoring and Urban planning
– Senseable cities
– Analytics for smart growth and effective infrastructure


** Post-proceedings of selected and revised papers **
Conference post-proceedings: Springer-Nature Lecture Notes in Computer Science (LNCS)


** Selection of best papers **A selection of the best papers accepted to the special session will be invited
to submit an extended version for publication in Frontiers in Sustainable Cities
Research Topic: Data Analysis and Data-Driven Modeling for Smart Cities
https://www.frontiersin.org/research-topics/17634/data-analysis-and-data-driven-modeling-for-smart-cities


** Paper submission and format **
All papers must be submitted using EasyChair.
Any questions regarding the submission process can be sent to conference organizers: lod@icas.cc

Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, available on the conference website. Papers must be submitted in PDF.

Types of Submission:
– long paper: original novel and unpublished work (max. 12 pages in
Springer LNCS format);
– short paper: an extended abstract of novel work (max. 4 pages);
– work for oral presentation only (no page restriction; any format). For
example, work already published elsewhere, which is relevant and which may
solicit fruitful discussion at the conference;
– abstract for poster presentation only (max 2 pages; any format). The
poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide,
respectively 46.8 x 33.1 inch). For research work which is relevant and
which may solicit fruitful discussion at the conference.

Each paper submitted will be rigorously evaluated. The evaluation will
ensure the high interest and expertise of reviewers. Following the
tradition of LOD, we expect high-quality papers in terms of their
scientific contribution, rigor, correctness, novelty, clarity, quality of
presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.

It is also possible to present the talk virtually (Zoom).

** Special session organizers **
Alberto Castellini (Universita' di  Verona, Italy)
Alessandro Farinelli (Universita' di  Verona, Italy)
Giuseppe Nicosia (Universita' di  Catania, Italy)
Varun Ojha (University of Reading, United Kingdom)

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CfP: 2nd International Workshop on Video Retrieval Methods and Their Limits (@ICCV2021)

April 28th, 2021 Daniela Lopez de Luise
2nd International Workshop on Video Retrieval Methods and Their Limits

at ICCV 2021, October 2021, online

======================================================================

With the vastly increasing amount of video data being created, searching in video is a common task in many application areas, such as media and entertainment, surveillance or medicine. Video search is a way to address a user's information need, that is expressed as a query in textual or visual form, which is often only an approximation of the required information. The proposed workshop is calling for contributions in content-based video search using different types of queries. Contributions may focus on search and retrieval methods, evaluation and benchmarking approaches for video retrieval, and technologies to understand how retrieval systems meet or fail to address the information needs, such as explainability of components of the retrieval system, active learning, etc. This workshop also addresses a specific application area of the emerging topic of fairness and explainability of AI, in particular related to image/video analysis components.

Two possible types of queries may be:

– Natural language queries describing objects, actions, events, etc. Systems need to be able to understand these textual queries and retrieve videos within a database that satisfy these queries.

– Image/video queries can be used to find videos that contain similar scenes to the given image/video.

In this context, contributions related (but not limited) to the following topics are invited.

– Comparative analysis of performance of search systems on different datasets

– Fusion of computer vision, text/language processing and audio analysis for video search

– Evaluation protocols and metrics for assessing the impact of specific components of retrieval systems

– Failure analysis of vision-based components in video search and retrieval systems

– Failure analysis of query types, dataset characteristics, metrics, and system architectures

– Integrating user interaction in search systems and their impact on performance

– Approaches for measuring and predicting hardness/complexity of queries in a system-independent way

Interested authors are invited to apply their approaches and methods on datasets prepared by the workshop organizers, or on any available external datasets (there is no competition component to the workshop).

The datasets prepared by the workshop organizers include:

1. Internet archives collection (IACC.3), which contains 600 hours of video, 90 ad-hoc queries and available ground truth.

2. BBC Eastenders dataset contains episodes of the weekly show over a period of 5 years. This amounts to 464 hours of video, and has available 230 instance search queries (visual examples of needed results) and the ground truth.

3. The new V3C1 Vimeo internet collection contains 1000 hours of video and is being used at the annual TRECVID international content-based video retrieval evaluation benchmark and the video browser showdown beginning in 2019. This dataset includes 50 textual queries and the ground truth.

Failure analysis of system performance is highly encouraged and will be given high priority with the goal to identify which methods work and which don't, and why. Examples of such failure modes include, but are not limited to: easy vs hard queries, dataset characteristics, training data characteristics and its effect on solving easy/hard queries, behaviour of machine-learning based components, system architecture (e.g NN depth and attributes).

Submission

We invite papers of up to 4 pages length (excluding references, but including figures), formatted according to the ICCV template (http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip). Submissions shall be single blind, i.e. do not need to be anonymized. The workshop proceedings will be archived in the IEEE Xplore Digital Library and the CVF Open Access.

By submitting a manuscript to ICCV, authors acknowledge that it has not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop. Furthermore, no publication substantially similar in content has been or will be submitted to this or another conference, workshop, or journal during the review period. A publication, for the purposes of this policy, is defined to be a written work longer than four pages (excluding references) that was submitted for review by peers for either acceptance or rejection, and, after review, was accepted. In particular, this definition of publication does not depend upon whether such an accepted written work appears in a formal proceedings or whether the organizers declare that such work “counts as a publication”.

All submissions will be handled electronically via EasyChair: https://easychair.org/conferences/?conf=viral21

Important Dates

Workshop paper submission : July 27, 2021

Notification to authors : August 10, 2021

Workshop camera-ready  : August 17, 2021

Workshop date: October, 2021 (during ICCV)

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