you that the deadline for early registration and abstract submission to the 41st
European Conference on Visual Perception is on March 31st.
find all the information on https://www.ecvp2018.
looking forward to seeing you in Trieste
ECVP 2018 Organizing committee
Mail priva di virus. http://www.avg.com
1 Postdoc position on visual inspection for the textile industry – [ Postdoc ] CB 75046
Workplace: IIT – Istituto Italiano di Tecnologia, Genova, Italy
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified postdoc with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other
related areas (e.g., recognition, video analysis, etc.).
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other
IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad-hoc solutions.
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion. The lab will pursue this goal by working collaboratively and in cooperation with external private
and public partners.
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect material on the textile
industry, in particular, yarn control in all its aspects (waste estimation, bale quality control, neps detection, etc.).
This likely implies the development of state-of-the-art and novel algorithms for detection, classification and quality control that should work in a highly automated industrial scenario, in the context of Industry 4.0 framework. In particular, we deem that
this inspection problem will require the joint study of computer vision algorithms with machine learning approaches, both traditional and deep learning. This project will be carried out in collaboration with a major industrial partner.
Candidates for this position should have a Ph.D. in computer vision, pattern recognition or related areas, and research experience and qualification should follow the same lines. Good programming skills in Matlab and C/C++ are also required; knowledge of OpenCV
will be considered a plus. Evidence of top quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is also mandatory.
Experience in funded research or industrial proposals (EU, US, national), and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered.
He/she is expected to publish his/her research results in leading international journals and conferences, attend project meetings and writing reports, supervise PhD students and collaborate with other scientists, also with different expertise.
Salary will be commensurate with qualification and experience and in line with international standards.
Further details and informal inquiries can be made by email to email@example.com quoting PAVIS- BC 75046 as reference number.
Please, send your application request to firstname.lastname@example.org quoting PAVIS- BC 75046 in the subject line as reference number. Applications must include:
a curriculum listing all publications (possibly including a pdf of your most representative ones)
a research statement summarizing your research interests, previous research experience and accomplishments, and outlining its relevance to the above topics
the names of 2 referees.
This call will remain open and applications will be reviewed until the position is filled, but please apply by March 31, 2018.
Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50
countries. IIT’s research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.
In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will
be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the
Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights
at any time as a party concerned by contacting the Data Manager.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
[visionlist] Call for Papers: A Special Issue in Honor of the Contributions of Anne Treisman – Attention, Perception, & PsychophysicsPosted: March 16, 2018
CALL FOR PARTICIPATION
The One-Minute Gradual-Emotion Recognition (OMG-Emotion)
held in partnership with the WCCI/IJCNN 2018 in Rio de Janeiro, Brazil.
I. Aim and Scope
Our One-Minute-Gradual Emotion Dataset (OMG-Emotion Dataset) is composed
of 420 relatively long emotion videos with an average length of 1
minute, collected from a variety of Youtube channels. The videos were
selected automatically based on specific search terms related to the
term “monologue”. Using monologue videos allowed for different
emotional behaviors to be presented in one context and that changes
gradually over time. Videos were separated into clips based on
utterances, and each utterance was annotated by at least five
independent subjects using the Amazon Mechanical Turk tool. To maintain
the contextual information for each video, each annotator watched the
clips of a video in sequence and had to annotate each video using an
arousal/valence scale and a categorical emotion based on the universal
emotions from Ekman.
The participants are encouraged to use crossmodal information in their
models, as the videos were labeled by humans without distinction of any
II. How to Participate
To participate, please send us an email to
email@example.com with the title “OMG-Emotion Recognition
Team Registration”. This e-mail must contain the following information:
Each team can have a maximum of 5 participants. You will receive from us
the access to the dataset and all the important information about how to
train and evaluate your models.
For the final submission, each team will have to send us a .csv file
containing the final arousal/valence values for each of the utterances
on the test dataset. We also request a link to a GitHub repository where
your solution must be stored, and a link to an ArXiv paper with 4-6
pages describing your model and results. The best papers will be invited
to submit their detailed research to a journal yet to be specified.
Also, the best participating teams will hold an oral presentation about
their solution during the WCCI/IJCNN 2018 conference.
III. Important Dates
Publishing of training and validation data with annotations: March 14,
Publishing of the test data, and an opening of the online submission:
April 11, 2018.
Closing of the submission portal: April 13, 2018.
Announcement of the winner through the submission portal: April 18, 2018.
Pablo Barros, University of Hamburg, Germany
Egor Lakomkin, University of Hamburg, Germany
Henrique Siqueira, Hamburg University, Germany
Alexander Sutherland, Hamburg University, Germany
Stefan Wermter, Hamburg University, Germany
[visionlist] 4th call for applicants Erasmus+ Joint Master Degree “COlor in Science and Industry (COSI)4oCdPosted: March 14, 2018
4th call for applicants Erasmus+ Joint Master Degree “COlor in
Science and Industry (COSI)”
We are pleased to announce the 4th call for applicants Erasmus+
JMD “COlour in Science and Industry (COSI)” master programme. The
2-year Master Programme (120 ECTS) COSI aims to develop
interdisciplinary trained experts in sectors encompassing colour,
spectral and digital imaging in applied science and in
applications development and analysis. The objective is to educate
students in advanced methodologies, applied models and practical
applications with 2 goals: enhance the employability and improve
career prospects of graduates on one hand and meet the needs of
industrials on the other hand.
COSI involves 4 EU HEIs as Full Partners: University Jean Monnet
(UJM – FR) University of Granada (UGR- SP), University of Eastern
Finland (UEF–FI), Norwegian University of Science and Technology
(NTNU–NO); 6 Associated Industrial Partners: Olympus Corporation
(Japan), Specim (Finland), Tecnalia (Spain), Chromasens (Germany),
Hewlett-Packard HP (Spain), and SoftColor Ltd (Finland); 4 HEIs in
Asia as Associated Academic Partners: Monash University, Malaysia
(MUM-Malaysia), Chulalongkorn University (CHULA -Thailand),
Toyohashi University of Technology (TUT-Japan) and Institut
Teknologi Bandung (ITB -Indonesia); and 10 Supporting Partners.
Mobilty: study in three different campuses (France, Spain, and –
depending on the concentration chosen – Norway or Finland).
Download COSI Master curriculum at
Scholarships & Erasmus+ JMD grants: Please note that we are
currently applying for a new funding from the European Union (full
Consortium implement an ambitious scholarship policy so students
can benefit from COSI scholarships and 50% fee waivers.
The deadline for the COSI student “scholarships” is March 31,
Scholars can also apply to contribute to the COSI program.
Awarded degrees: successful completion of the COSI Joint Master
Degree will result in the award of multiple Master degrees (i.e. 4
national diplomas issued by 4 higher education institutions from 4
European countries and fully recognized in these respective
Entry requirements / Eligibility criteria: applicants must hold a
bachelor of science (or any nationally recognized first cycle
degree equivalent to 180 ECTS), preferably in the fields of
mathematics, technology, engineering, computer science or physics.
Language requirements: the tuition language is English. COSI
students are notably expected to produce a Master Thesis in
English. A strong command of written and oral English is therefore
requested. Applicants will have to demonstrate during application
an English language proficiency equivalent to level B2 in the
Common European Framework of Reference (CEFR).
How to apply: online at
TO FIND OUT MORE ABOUT THE PROGRAMME (detailed description of the
scholarships, the study programme, application procedures,
required documents, available mobility routes, etc.) please visit:
Kendrick Kay and I are Guest Editors soliciting contributions for a special issue of Vision (http://ift.tt/2CSGHow). The theme of the issue is “Visual Perception and Its Neural Mechanisms”,
and we especially encourage articles that address issues pertaining to (i) advances in techniques for neural measurement or (ii) neural data analysis and modeling approaches that elucidate perceptual mechanisms.
Please let us know if you are interested in contributing an article.
Suggested topics include, but are not limited to:
• Advanced methods improving the resolution and quality of neural measurements
• Computational modeling frameworks
• Efforts to clarify the link between brain responses and behavior (e.g., perceptual judgments, awareness, uncertainty, reaction times)
• Efforts to bridge spatial and temporal scales of measurement (e.g. single units vs. population measures)
• Novel insights into the organization of, and within, visual areas in the brain
• Neural biomarkers for perceptual disorders
More information is available at http://ift.tt/2FPEFGB.
Feel free to contact us with a specific paper proposal or any questions.
Department of Psychology
University of Wisconsin – Madison
1202 W Johnson St, Madison, WI 53706
Phone: +1 (608) 262-8992
Fax: +1 (608) 262-4029