ImageCLEF Coral Annotation Challenge 2021

February 2nd, 2021 Daniela Lopez de Luise

Website: https://www.imageclef.org/2020/coral 

*** CALL FOR PARTICIPATION ***

The 3rd Edition of the ImageCLEF Coral Annotation Challenge 2021

Data

The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras attached to drones has driven the next-generation of visualisation techniques that can be used in augmented and virtual reality headsets. It has also created a need to have such models labelled, with objects such as people, buildings, vehicles, terrain, etc. all essential for machine learning techniques to automatically identify as areas of interest and to label them appropriately. However, the complexity of the images makes impossible for human annotators to assess the contents of images on a large scale.

Advances in automatically annotating images for complexity and benthic composition have been promising, and we are interested in automatically identify areas of interest and to label them appropriately for monitoring coral reefs. Coral reefs are in danger of being lost within the next 30 years, and with them the ecosystems they support. This catastrophe will not only see the extinction of many marine species, but also create a humanitarian crisis on a global scale for the billions of humans who rely on reef services. By monitoring the changes and composition of coral reefs we can help prioritise conservation efforts.

New for 2021:

in its 3rd edition, the training and test data will form the complete set of images required to form a 3D reconstruction of the environment. This allows the participants to explore novel probabilistic computer vision techniques based around image overlap and transposition of data points. Participants will be given instruction on the preparation of 3D reconstruction, the output files (.obj) and a visualisation of each model without labels (for example, https://skfb.ly/6SooQ).

In addition, participants are encourage to use the publicly available NOAA NCEI data to train their approaches. 

Challenge description

Participants will be require to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. 

Data

The data for this task originates from a growing, large-scale collection of images taken from coral reefs around the world as part of a coral reef monitoring project with the Marine Technology Research Unit at the University of Essex.
Substrates of the same type can have very different morphologies, color variation and patterns. Some of the images contain a white line (scientific measurement tape) that may occlude part of the entity. The quality of the images is variable, some are blurry, and some have poor color balance. This is representative of the Marine Technology Research Unit dataset and all images are useful for data analysis. The images contain annotations of the following 13 types of substrates: Hard Coral – Branching, Hard Coral – Submassive, Hard Coral – Boulder, Hard Coral – Encrusting, Hard Coral – Table, Hard Coral – Foliose, Hard Coral – Mushroom, Soft Coral, Soft Coral – Gorgonian, Sponge, Sponge – Barrel, Fire Coral – Millepora and Algae – Macro or Leaves.
The test data contains images from four different locations:

  • same location as training set
  • similar location to training set
  • geographically similar to training set
  • geographically distinct from training set

Important dates

  • 16.11.2020: registration opens for all ImageCLEF tasks
  • 04.02.2021: development data released
  • 15.03.2021: test data release starts
  • 07.05.2021: deadline for submitting the participants runs
  • 28.05.2021: deadline for submission of working notes papers by the participants
  • 21-24.09.2021: CLEF 2021, Bucharest, Romania

 

Participant Registration

https://www.imageclef.org/2021#registration

 

Organizing Committee

 

For more details and updates, please visit the task website at: https://www.imageclef.org/2021/coral 

And join our mailing list: https://groups.google.com/d/forum/imageclefcoral  

 

Dr Alba García Seco de Herrera PhD

Lecturer

Department of Computer Science and Electronic Engineering (CSEE)

University of Essex

 

T +44 (0) 1206 872907

E alba.garcia@essex.ac.uk

► https://www.essex.ac.uk/

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Undergraduate computational neuroscience researchposition

February 2nd, 2021 Daniela Lopez de Luise

A new Army Research Office (ARO) undergraduate research apprenticeship program (URAP) position is available for the summer of 2021 at the Nathan Kline Institute for Psychiatric Research in Orangeburg, NY (https://www.nki.rfmh.org/). Research will be conducted under the mentorship of Samuel Neymotin, Haroon Anwar, and Salvador Dura-Bernal to help achieve the goals of an ARO grant (PI: Neymotin) that aims to train neocortical circuit models to play video games using biologically-plausible learning rules, and to compare the models’ performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and potentially publish their results.

 

Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates must be located within commuting distance to Nathan Kline Institute during the apprenticeship period. 

 

For consideration, please click the link to “Apply Now” at https://www.usaeop.com/program/undergraduate-apprenticeships/ 

Make sure to use code U803 (Nathan Kline Institute) and apply by the deadline (March 15, 2021). Letters of recommendation are optional.

 

For questions, email Samuel.Neymotin@nki.rfmh.org

 

For more information about the URAP visit: http://www.usaeop.com/

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Cognitive Neuroscience Research positions in Coimbra Portugal – open call for 2021

February 2nd, 2021 Daniela Lopez de Luise

The Proaction Laboratory (Jorge Almeida's lab; proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at different levels of their career from newly phd graduates, to assistant, associate or full level researchers to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. We particularly encourage applications from women, and from underrepresented groups in academia.

 

The applicants should have an interest in cognitive neuroscience, vision science and preferably (but not limited to) object recognition, conceptual processing, and action and perception. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in behavioral, motion tracking, neuromodulation, fMRI and/or EEG approaches (in particular Multivariate EEG decoding, and EEG/fMRI multimodal approaches). Good programming skills, great communication and mentoring skills, and a great command of English are a plus.

 

The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out in October/November 2020. The application deadline is around February 29.

 

The positions are as independent researchers in the Proaction Lab, are for 6 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior, assistant, associate positions, for instance are approximately 1500, 1900 and 2100 euros per month in a 14 month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra).  

 

The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida and several FCT projects. We have access to a 3T MRI scanner with a 64-channel coil (with EEG inside the scanner), to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eyetracking on site. We also have a science communication office dedicated to the lab.

 

Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain.

The deadline for this pre-application is January 30, but you should apply as soon as you can – the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida@gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions.

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Electronic Imaging Symposium Fast Track Articles Available

February 2nd, 2021 Daniela Lopez de Luise

With week one of the Electronic Imaging Symposium (EI 2021) complete, there are now 35 Open Access fast track articles from the conference proceedings available for download.

 

Read the latest imaging research on 3D, Autonomous Vehicles, Deep Learning, High Dynamic Range, Augmented Reality, Data Visualization, + more. http://bit.ly/EI2021_FastTrackArticles

 

Interested in more content from EI 2021? You can still register for the remaining technical program, which will provide you with live presentations, discussions with presenters, chats, interactive posters, and more + access to any missed content. View today's agenda, register, and plan your schedule. https://bit.ly/EI2021_EventPortal

 

Electronic Imaging Symposium 2021 (EI2021 Online)

Short Course Program: 11-15 January

Technical Program: 18-21 and 25-28 January

https://bit.ly/EI2021

 

Connect with us on LinkedIn and Twitter @ElectroImaging for #EI2021 updates!

 

Roberta Morehouse, CMP

Communications and Marketing Manager

Society for Imaging Science and Technology (IS&T)

—imaging across applications—imaging.org

IS&T is a non-profit organization dedicated to advancing science and technology in the field of imaging.  Please consider donating today.

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2nd International workshop Deep Learning meets Ontologies and Natural Language Processing @ESWC-2021

February 2nd, 2021 Daniela Lopez de Luise

Dear colleagues and researchers,

 

Please consider submitting a paper for the 2nd International workshop  “Deep Learning meets Ontologies and Natural Language Processing”  which will be held online or in Hersonissos, Greece – June 7th 2021.

 

** DeepOntoNLP –  Call for Papers ***

 

Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021

in conjunction with ESWC 2021 online or in Hersonissos, Greece

 

*Workshop description*

In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions.

Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations.

The combination of DL, ontologies and NLP might be beneficial for different tasks:

·       Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration,

·       Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations),

·       Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc.

·       NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc.

 

*Objective*

This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches.

 

We invite the submission of original works that is related — but are not limited to — the topics below.

 

*Topics of interests*

·       Construction ontology embeddings

·    Ontology-based text classification

·    Learning ontology embeddings

·    Semantic role labelling

·    Ontology reasoning with Deep Neural Networks

·    Deep learning for ontological semantic annotations

·    Spatial and temporal ontology embeddings

·    Ontology alignment and matching based on deep learning models

·    Ontology learning from text using deep learning models

·    Unsupervised Learning

·    Text classification using deep models

·    Neural machine translation

·    Deep question answering

·    Deep text summarization

·    Deep speech recognition

·    and so on.

*Submission*

The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authors. Papers are to be submitted through the Easychair Conference Management System.

We welcome the following types of contributions:

§  Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics

§  Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion.

At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the ESWC 2021 page.

*Important dates*

§ Workshop paper submission due: March 1st, 2021

§ Workshop paper notifications: March 31st, 2021

§ Workshop paper camera-ready versions due: April 9th, 2021

§ Workshop: June 7th, 2021 (Half-Day)

All deadlines are 23:59 anywhere on earth (UTC-12).

 

*Publication*

The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021.

 

*Workshop chairs*

 

Sarra BEN ABBES, Engie, France

Rim HANTACH, Engie, France

Philippe CALVEZ, Engie, France

 

*Program Committee*

 

Nada Mimouni, CNAM, France
Lynda Temal, Engie, France
Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France
Valentina Janev, Mihajlo Pupin Institute, Serbia
Mohamed Hedi Karray, LGP-INP-ENIT, Université de Toulouse, France
Efstratios Kontopoulos, Catalink Ltd, Cyprus
Wei Hu, Nanjing University, China
Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico
Linda Elmhadhbi, Université de Toulouse, France

Amir Laadhar, Aalborg University, Denmark

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