Re: [visionlist] Sten-Sture Bergström 1930-2016

I’m really sorry. He was a sweet person.

Tiziano

********************************Prof. Tiziano AgostiniDepartment of Life SciencesUniversity of Triestevia Weiss, 2134127 TriesteItalye-mail: agostini@units.itPhone:  +39 040 982-8875Fax:  +39 040 558-4220********************************

Il giorno 27 feb 2016, alle ore 02:05, Alan Gilchrist ha scritto:

Dear Colleagues,

I am sad to report that Sten-Sture
Bergström
passed away on February 16. After university studies in biology, zoology,
botany and geography, he began working with Gunnar Johansson in 1957,
presenting his doctoral thesis (1967) entitled “A paradox in the perception of
luminance gradients.” He taught at Uppsala University until 1977 when he became
professor in the department of applied psychology at Umeå,
where he worked until he retired. Bergström developed an elegant theory of
lightness and color perception. Analogous to Johansson’s theory of motion
perception, Bergström argued that light entering the eye is analyzed into
common and relative components. For those who wish to know more, I would
suggest two publications:

Bergström, S. S. (1977). “Common and
relative components of reflected light as information about the illumination,
colour, and three-dimensional form of objects.” Scandanavian Journal of
Psychology 18: 180-186.

Bergström, S. (1994). Color Constancy:
Arguments for a Vector Model for the Perception of Illumination, Color, and
Depth. Lightness, Brightness, and Transparency. A. Gilchrist. Hillsdale,
NJ, Erlbaum: 257-286.

The latter book reflects the work of a group of five people,
informally known as the Trieste Group, that met each year for three days,
beginning in the 1980s to discuss lightness. The other members, besides me,
included Larry Arend, Walter Gerbino, and the late Paul Whittle.

Bergström is survived by his wife Alice, and three children, Lars,
Mats, and Linda.

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[visionlist] Sten-Sture Bergström 1930-2016

Dear Colleagues,

I am sad to report that Sten-Sture
Bergström
passed away on February 16. After university studies in biology, zoology,
botany and geography, he began working with Gunnar Johansson in 1957,
presenting his doctoral thesis (1967) entitled “A paradox in the perception of
luminance gradients.” He taught at Uppsala University until 1977 when he became
professor in the department of applied psychology at Umeå,
where he worked until he retired. Bergström developed an elegant theory of
lightness and color perception. Analogous to Johansson’s theory of motion
perception, Bergström argued that light entering the eye is analyzed into
common and relative components. For those who wish to know more, I would
suggest two publications:

Bergström, S. S. (1977). “Common and
relative components of reflected light as information about the illumination,
colour, and three-dimensional form of objects.” Scandanavian Journal of
Psychology 18: 180-186.

Bergström, S. (1994). Color Constancy:
Arguments for a Vector Model for the Perception of Illumination, Color, and
Depth. Lightness, Brightness, and Transparency. A. Gilchrist. Hillsdale,
NJ, Erlbaum: 257-286.

The latter book reflects the work of a group of five people,
informally known as the Trieste Group, that met each year for three days,
beginning in the 1980s to discuss lightness. The other members, besides me,
included Larry Arend, Walter Gerbino, and the late Paul Whittle.

Bergström is survived by his wife Alice, and three children, Lars,
Mats, and Linda.


[visionlist] Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data – BC 71883

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data – BC 71883

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 application from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.

The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://ift.tt/1pQq6j9) is looking for a highly qualified researcher in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis with applications to Biomedical Data Analysis.

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 research units inside IIT 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, sensor fusion, and embedded computer vision systems. The lab will also pursue this goal by working collaboratively and in cooperation with external private and public partners.

This call aims at consolidating PAVIS expertise in the following research areas:

• Biomedical image analysis;
• Neuroimaging (functional and structural connectome);
• Biological signal/image/video processing;
• Neuronal network structural connectivity and functional activity analysis;
• Animal behavior analysis;
• Multimodal data analysis and data fusion.

>From the methodological standpoint, the ideal candidate should be familiar within one or more of the following subjects: Probabilistic Graphical Models, Topic Models and Bayesian Non-parametrics, Deep Learning, neural networks and autoencoders, Sparse and Dictionary Learning, Kernel methods and manifold learning, graph-based learning, spectral graph theory.
As the activities may be carried out in collaboration with other research units inside IIT, previous multidisciplinary experience is an added value which will be duly considered.
Strong programming skills are required.

Candidates to this position have a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines. A keen interest in biomedical issues and applications is of course necessary. Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is therefore mandatory.

Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered.

The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.

The position is offered for a (renewable) period of 2 years. Salary will be commensurate to qualification and experience and in line with international standard. The workplace is Genova, Italy.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS- BC 71883 as reference number.

Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance to the above topics by email to applications@iit.it, quoting PAVIS-PD 71883 as reference number.

Please also send 2 reference letters. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by March 31, 2016.

In order to comply with the 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] Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition at PAVIS – bc 71884

Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition at PAVIS – bc 71884
IIT was established in 2003 and successfully created a large scale infrastructure in Genova, a network of 10-state-of-the art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT’s research endeavour
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.
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified researcher with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior
understanding and prediction.
As the activities may be carried out in collaboration with other IIT research units,previous multidisciplinary experience is an added value which will be duly considered.
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, and embedded computer vision systems. The lab will pursue this goal by working collaboratively
and in cooperation with external private and public partners.
In particular, this call aims at consolidating PAVIS expertise in one or more of the following research areas:
    Analysis of static and dynamic scenes;
    Recognition (objects, scenes, actions, events, etc.) ;
    Behavior Analysis & Activity Recognition (individuals, groups, crowd);
    Prediction of intentions.
>From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects: Graphical Models, Topic Models, Bayesian Nonparametrics, Deep Learning, Representation/Feature Learning, Sparse and Dictionary Learning, and
Statistical and Probabilistic Models in general.
Candidates to this position have a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines.
Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is therefore mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The winning candidate will also contribute to offsetting up new
(funding) project proposals and will participate in funding activities.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise.
The position is offered for a initial period of 2 (renewable) years.Salary will be commensurate to qualification and experience and in line with international standards.
The workplace is Genova, Italy.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS-PD  71884 as reference number.
Please send your completed application forms along with a curriculum listing all publications (possibly including pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance
to the above topics by email to applications@iit.it, quoting PAVIS-PD 71884 as reference number.
Please also send 2 reference letters. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by March 30, 2016.
In order to comply with the 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] IIT – Italy – Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition at PAVIS – bc 71885

Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition at PAVIS – bc 71885

IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10-state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT’s research endeavour
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.
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified researcher with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior
understanding and prediction.
As the activities may be carried out in collaboration with other IIT research units,, previous multidisciplinary experience is an added value which will be duly considered.
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, and embedded computer vision systems. The lab will pursue this goal by working collaboratively
and in cooperation with external private and public partners.
In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on re-identification and crowd behavior analysis.
In general, the following topics are of interest:
    Analysis of static and dynamic scenes;
    Recognition (objects, scenes, actions, events, etc.) ;
    Behavior Analysis & Activity Recognition (individuals, groups, crowd);
    Prediction of intentions.
>From the methodological standpoint, the ideal candidate should be familiar with in one or more of the following subjects: Graphical Models, Topic Models, Bayesian Nonparametrics, Deep Learning, Representation/Feature Learning, Sparse and Dictionary Learning,
and Statistical and Probabilistic Models in general.
Candidates to this position have a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above specified areas in the
form of published papers in top conferences/journals and/or patents is therefore mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The winning candidate will also contribute to setting up new (funding)
project proposals and will participate in funding activities.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise.
The position is offered for an initial (renewable) period of 2 years.Salary will be commensurate to qualification and experience and in line with international standards.
The workplace is Genova, Italy.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS-PD  71885 as reference number.
Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance
to the above topics by email to applications@iit.it, quoting PAVIS-PD 71885 as reference number.
Please also send 2 reference letters. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by March 30, 2016.
In order to comply with the 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.
IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10-state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT’s research endeavour
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.
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified researcher with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior
understanding and prediction.
As the activities may be carried out in collaboration with other IIT research units,, previous multidisciplinary experience is an added value which will be duly considered.
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, and embedded computer vision systems. The lab will pursue this goal by working collaboratively
and in cooperation with external private and public partners.
In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on re-identification and crowd behavior analysis.
In general, the following topics are of interest:
    Analysis of static and dynamic scenes;
    Recognition (objects, scenes, actions, events, etc.) ;
    Behavior Analysis & Activity Recognition (individuals, groups, crowd);
    Prediction of intentions.
>From the methodological standpoint, the ideal candidate should be familiar with in one or more of the following subjects: Graphical Models, Topic Models, Bayesian Nonparametrics, Deep Learning, Representation/Feature Learning, Sparse and Dictionary Learning,
and Statistical and Probabilistic Models in general.
Candidates to this position have a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above specified areas in the
form of published papers in top conferences/journals and/or patents is therefore mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The winning candidate will also contribute to setting up new (funding)
project proposals and will participate in funding activities.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise.
The position is offered for an initial (renewable) period of 2 years.Salary will be commensurate to qualification and experience and in line with international standards.
The workplace is Genova, Italy.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS-PD  71885 as reference number.
Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance
to the above topics by email to applications@iit.it, quoting PAVIS-PD 71885 as reference number.
Please also send 2 reference letters. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by March 30, 2016.
In order to comply with the 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] IIT – Italy – Postdoc position in automatic visual inspection at PAVIS Dept. – 72050


[visionlist] Post-doctoral position in visual cognition

(apologies for cross-posting)

The lab of Daryl Fougnie at New York University Abu Dhabi (NYUAD) is seeking a Postdoctoral Fellow with interests in studying visual cognition. The position will benefit from a collaboration between Daryl Fougnie at NYUAD and Wei Ji Ma at NYU.  

Candidates must hold a Ph.D. in Psychology, Computer Science, Neuroscience, or a related field. The ideal candidate will have experience with psychophysics and modeling approaches. Candidates should possess strong computational skills and have experience with Matlab, or an equivalent programming language. 

Terms of employment include a very generous salary, housing, and other benefits. The anticipated start date is Sept 2016. The duration of employment is for two years with the possibility to renew.

Applications will be accepted immediately. Interested applicants are encouraged to contact Daryl Fougnie with any questions about the position, university, or area. You may also apply from this site. 

New York University has established itself as a Global Network University, a multi-site, organically connected network encompassing key global cities and idea capitals. The network has three foundational degree-granting campuses: New York, Abu Dhabi, and Shanghai. The Psychology group at NYUAD is rapidly growing. Psychology faculty at NYUAD collaborate with faculty at NYU in New York and from other top universities worldwide. NYUAD has just opened a brand new campus on Saadiyat Island (Abu Dhabi’s cultural center). Postdoctoral Fellows will have access to EEG, MEG, and fMRI facilities.