KogWis 2018: 14th
Biannual Conference of the German Cognitive Science Society
Centre for Cognitive Science, Technische Universität Darmstadt
S1|05: Hörsaal 122, Maschinenhaus, Magdalenenstraße 12
Darmstadt, Germany, September 3-6, 2018
***** By popular demand, the submission deadline for abstracts
has been extended to May 1st. *****
***** Also, please note the call for Tutorials and Symposia
at the end of this mail. *****
***** GK Best Paper award, GK Best Poster awards, and
Student Travel awards announced. *****
Call for Presentations and Posters
We call for extended abstracts for oral presentations and for
posters. Submissions should be written in English, and be
formatted according to the formatting guidelines below.
Contributions must be submitted by May 1st 2018 via the EasyChair
All submissions will be peer-reviewed by members of the review
committee. Acceptance will be based on novelty of research,
significance of results, and quality of presentation. Accepted
abstracts will be published in the online conference proceedings.
All accepted contributions must be presented at the conference. So
at least one author must register by the early registration
deadline or the contribution will not be included in the program.
The best submissions to KogWis 2018 will be selected for oral
presentation at the conference.
Call for Symposia
Submission is now open for proposals for symposia to be presented
at KOGWIS2018. The deadline for submitting a symposium proposals
is May 11th, 2018. A symposium should involve several presenters,
typically 4-5, organized around a topic of interest. Symposia may
be on any topic in cognitive science. The KOGWIS program committee
will strive for quality, variety, innovation, and diversity of the
program; special emphasis will be put on this year’s topic:
computational approaches to cognitive science.
Please submit proposals for a symposium directly as a single
abstract for the symposium topic. On the second page of the
abstract, please list the speakers who will be participating in
the symposium and the title of their contributions.
Send the the two page abstract via e-mail with the subject
“Symposium proposal” directly to:
Call for Tutorials
We invite proposals for tutorials to be held at KOGWIS2018. The
KOGWIS program committee is interested in tutorials that
disseminate information to conference attendees on recently
emerging topics and trends as well as foundation topics, provide
surveys of complementary techniques to those commonly studied in
cognitive science, and inform attendees on the state-of-the-art
within the field. We encourage submissions of proposals on topics
in the general areas of cognitive science but particularly
encourage tutorials on computational approaches to cognitive
Please submit proposals for a tutorial directly as one abstract
for the tutorial topic according to the same guidelines as regular
abstracts via e-mail with the subject “Tutorial proposal” directly
GK Best Paper Award (2016-2018)
The GK Best Paper Award is awarded for the best publication in
cognitive science by a young investigator whose PhD has been
awarded within the last three years or who is still earning a PhD.
Applications are accepted for peer reviewed papers, which have
been accepted for publication or have been published since May
Applications should be submitted by June 1st 2018 via e-mail to
the head of the GK (firstname.lastname@example.org) and include a
single PDF document with:
– the published paper,
– the publication data or the notification of acceptance of the
journal or conference,
– a CV including publication record.
The prize will be awarded at KogWis 2018 and the awardee will be
given the opportunity to present their work in a dedicated program
GK Best Poster & Presentation Award
Each paper accepted for publication at KogWis 2018 will be
eligible for the KogWis 2018 Best Paper Award. There will be three
awards in total: 1st place 250 €, 2nd place 150 €, 3rd place 100
GK Student travel award
The GK society sponsors four student travel grants for student
members of the GK to attend KogWis. Students need to be or become
a member of the GK to be eligible. The travel to KogWis 2018 will
be supported by an amount of 250€. Selection Criteria are:
involvement at the conference (paper or poster contribution) &
application date. Please send your application to email@example.com
with the subject “KogWis Student Travel Grant Application”.
KogWis 2018 will be held in Darmstadt, Germany, and invites
submissions of extended abstracts on current work in cognitive
science. Generally all topics related to cognitive science are
welcome. Contributions that address the focus of this meeting,
that is, computational cognitive science are particularly
encouraged. Computational approaches to cognitive science
emphasize formalizing adaptive and intelligent behavior and have
strong ties to machine learning and artificial intelligence.
Confirmed keynote speakers:
Frances Egan (Rutgers University)
Noah Goodman (Stanford University)
Mate Legyel (University of Cambridge)
Iris van Rooij (Radboud University Nijmegen)
Christopher Summerfiled (University of Oxford)
Main conference: 03 – 06 September 2018
Submission deadline for extended abstracts: Friday, 01 May 2018
***** extended *****
Notification of acceptance (presentations or posters): Monday, 28
Early registration deadline: Monday, 02 July 2018
PhD Student Workshop Deadline: Monday, 23 July 2018
We are looking forward to meeting you in Darmstadt,
Constantin Rothkopf, Dirk Balfanz, Ralf Galuske, Frank Jäkel,
Kristian Kersting, Jakob Macke, Betty Mohler
VISART IV “Where Computer Vision Meets Art”
4th Workshop on Computer VISion for ART Analysis
In conjunction with the 2018 European Conference on Computer Vision
(ECCV), Cultural Center (Kulturzentrum Gasteig), Munich, Germany
Full & Extended Abstract Paper Submission: July 9th 2018
Notification of Acceptance: August 3rd 2018
Camera-Ready Paper Due: September 21st 2018
Workshop: September 9th 2018
CALL FOR PAPERS
Following the success of the previous editions of the Workshop on
Computer VISion for ART Analysis held in 2012, 2014 and 2016, we present
the VISART IV workshop, in conjunction with the 2018 European Conference
on Computer Vision (ECCV 2018). VISART will continue its role as a forum
for the presentation, discussion and publication of computer vision
techniques for the analysis of art. In contrast with prior editions,
VISART IV will expand its remit, offering two tracks for submission:
1. Computer Vision for Art – technical work (standard ECCV submission,
14 page excluding references)
2. Uses and Reflection of Computer Vision for Art (Extended abstract, 4
page, excluding references)
The recent explosion in the digitisation of artworks highlights the
concrete importance of application in the overlap between computer
vision and art; such as the automatic indexing of databases of paintings
and drawings, or automatic tools for the analysis of cultural heritage.
Such an encounter, however, also opens the door both to a wider
computational understanding of the image beyond photo-geometry, and to a
deeper critical engagement with how images are mediated, understood or
produced by computer vision techniques in the ‘Age of Image-Machines’
(T. J. Clark). Whereas submissions to our first track should primarily
consist of technical papers, our second track therefore encourages
critical essays or extended abstracts from art historians, artists,
cultural historians, media theorists and computer scientists.
The purpose of this workshop is to bring together leading researchers in
the fields of computer vision and the digital humanities with art and
cultural historians and artists, to promote interdisciplinary
collaborations, and to expose the hybrid community to cutting-edge
techniques and open problems on both sides of this fascinating area of
This one-day workshop in conjunction with ECCV 2018, calls for
high-quality, previously unpublished, works related to Computer Vision
and Cultural History. Submissions for both tracks should conform to the
ECCV 2018 proceedings style. Papers must be submitted online through the
CMT submission system at:
and will be double-blind peer reviewed by at least three reviewers.
TOPICS include but are not limited to:
– Art History and Computer Vision
– 3D reconstruction from visual art or historical sites
– Artistic style transfer from artworks to images and 3D scans
– 2D and 3D human pose estimation in art
– Image and visual representation in art
– Computer Vision for cultural heritage applications
– Authentication Forensics and dating
– Big-data analysis of art
– Media content analysis and search
– Visual Question & Answering (VQA) or Captioning for Art
– Visual human-machine interaction for Cultural Heritage
– Multimedia databases and digital libraries for artistic and
– Interactive 3D media and immersive AR/VR environments for Cultural
– Digital recognition, analysis or augmentation of historical maps
– Security and legal issues in the digital presentation and distribution
of cultural information
– Surveillance and behaviour analysis in Galleries, Libraries, Archives
– Peter Bell (Professor of Digital Humanities – Art History, Friedrich-
Alexander University Nüremberg)
– Bjorn Ommer (Professor of Computer Vision, Heidelberg)
– Eva-Maria Seng (Chair of Tangible and Intangible Heritage, Faculty of
Cultural Studies, University of Paderborn)
– More speakers TBC
To be confirmed.
Alessio Del Bue, Istituto Italiano di Tecnologia (IIT)
Leonardo Impett, EPFL & Biblioteca Hertziana, Max Planck for Art History
Stuart James, Istituto Italiano di Tecnologia (IIT)
Peter Hall, University of Bath
Joao Paulo Costeira, ISR, Instituto Superior Técnico
Peter Bell, Friedrichs-Alexander University Nüremberg
We are very proud to announce our two Keynote
speakers for VSAC 2018.
Michael Kubovy will talk about “The place
of contemplation in a world of arts”. on August 24.
Jan Koenderink will talk
about “Macchie, Passages and Edges lost & found” on August 25.
We remind you that the deadline for early bird
registration and abstract submission is April 30.
Attached is a map with the venue and another with surrounding hotels. This and more information will be soon online on the VSAC 2018 website (http://www.vsac2018.eu)
Looking forward to meeting you in Trieste!
[visionlist] Call For Papers: International Journal of Computer Vision, Special Issue on Deep Learning for Robotic VisionPosted: April 20, 2018
Call For Papers: International Journal of Computer Vision, Special Issue on Deep Learning for Robotic Vision
Aims and Scope:
Recent advances in deep learning techniques have made impressive progress in many areas of computer vision, including classification, detection, and segmentation. Robotics, at the same time, presents new challenges for visual algorithms which require specialized
approaches. For example, challenges include the need for operation under open-set and sometimes detrimental conditions, the need for continuous learning, reliable uncertainty estimates, real-time analysis, the need for accurate 3d understanding of scenes,
and the difficulty of doing experiments at scale, as well as, for data collection and evaluation metrics in the robotics domain. There are also a number opportunities which robotics uniquely brings to computer vision, for example, the ability to use additional
sensors, such as depth or point clouds, or to control where the camera is looking, or the ability for self-supervision, reducing the need for manual labeling. We consider work related to deep learning techniques in computer vision applied to a broad range
of robotic devices, from self driving cars to drones to bipedal robots.
In this special issue, authors are invited to submit manuscripts on topics related to computer vision for robotics, related to deep learning. We welcome work showing new learning algorithms, applications, and deployed vision systems, as well as, providing insights
into the capabilities and limitations of such approaches.
The topics of interest include, but are not limited to:
– Deep learning for robotics vision.
– DNN based object recognition, detection and segmentation for robotics, especially under open-set or detrimental conditions.
– End-to-end perception algorithms.
– Deep learning in navigation and autonomous driving
– Vision-based Semantic Simultaneous Localization and Mapping (SLAM).
– 3D Scene understanding.
– Semi-supervised and self-supervised learning for robotics.
– Real-time algorithms for robotics perception.
– Deep learning in human-robot interaction, learning from human demonstrations
– Deep learning for visually guided grasping and manipulation
– Lifelong and continuous deep learning in robotics
– Active learning and active perception
– Meta learning for robotic vision
– Perception algorithms deployed on various robotic systems.
– Reliable confidence measures for deep classifiers, Bayesian Deep Learning, and uncertainty estimation.
– Deep learning for embedded systems and platforms with limited computational power
– Deep learning for smart environments
– Deep learning applications for the visually impaired and for the ageing society
– Deep learning vision algorithms deployed in real-life robotic systems.
– Large-scale datasets relevant to robotics learning.
– Data collection and simulation challenges for robotics perception and control.
– Limits of deep learning for robotic vision
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation,
by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. There is no page limit
and we encourage both short and extended papers.
Please find publication details at: https://ift.tt/2HfzhtQ
Manuscript submission: https://ift.tt/2JYyzCS
Submission deadline: June 30, 2018
Anelia Angelova, firstname.lastname@example.org, Google Brain/Research
Gustavo Carneiro, email@example.com, University of Adelaide
Niko SÃ¼nderhauf, firstname.lastname@example.org, Queensland University of Technology
JÃ¼rgen Leitner, email@example.com, Queensland University of Technology
School of Computer Science
The University of Adelaide
The University of Adelaide CRICOS Provider Number 00123M
The University of Adelaide ABN Number 61 249 878 937