First Call for Papers
THE 5TH WORKSHOP ON VISION AND LANGUAGE (VL'16)
At ACL'16, Berlin, Germany
12 August 2016
Organised by COST Action IC1307 The European Network on Integrating Vision and Language (iV&L Net)
Research involving both language and vision computing spans a variety of disciplines and applications, and goes back a number of decades. In a recent scene shift, the big data era has thrown up a multitude of tasks in which vision and language are inherently linked. The explosive growth of visual and textual data, both online and in private repositories by diverse institutions and companies, has led to urgent requirements in terms of search, processing and
management of digital content. Solutions for providing access to or mining such data effectively depend on the connection between visual and textual content being made interpretable, hence on the 'semantic gap' between vision and language being bridged.
One perspective has been integrated modelling of language and vision, with approaches located at different points between the structured, cognitive modelling end of the spectrum, and the unsupervised machine learning end, with state-of-the-art results in many areas currently being produced at the latter end, in particular by deep learning approaches.
Another perspective is exploring how knowledge about language can help with predominantly visual tasks, and vice versa. Visual interpretation can be aided by text associated with images/videos and knowledge about the world learned from language. On the NLP side, images can help ground language in the physical world, allowing us to develop models for semantics. Words and pictures are often naturally linked online and in the real world, and each modality
can provide reinforcing information to aid the other.
The 5th Workshop on Vision and Language (VL’16) aims to address all the above, with a particular focus on the integrated modelling of vision and language. We welcome papers describing original research combining language and vision. To encourage the sharing of novel and emerging ideas we also welcome papers describing new data sets, grand challenges, open problems, benchmarks and work in progress as well as survey papers.
Topics of interest include (in alphabetical order), but are not limited to:
• Computational modeling of human vision and language
• Computer graphics generation from text
• Human-computer interaction in virtual worlds
• Human-robot interaction
• Image and video description and summarization
• Image and video labeling and annotation
• Image and video retrieval
• Language-driven animation
• Machine translation with visual enhancement
• Medical image processing
• Models of distributional semantics involving vision and language
• Multi-modal discourse analysis
• Multi-modal human-computer communication
• Multi-modal temporal and spatial semantics recognition and resolution • Recognition of narratives in text and video
• Recognition of semantic roles and frames in text, images and video
• Retrieval models across different modalities
• Text-to-image generation
• Visual question answering / visual Turing challenge
• Visually grounded language understanding
Submission:
We invite submission of long papers on new research related to the topics above. Submissions should be up to 8 pages in length, with up to 2 additional pages for references.
Furthermore we invite submission of short papers, up to 4 pages in length, with up to 1 additional page for references. Short papers will be presented in poster form, preceded by short 'boaster' presentations.
All submissions must be in PDF format and must follow the ACL 2016 formatting requirements, see the ACL 2016 Call For Papers for reference: http://acl2016.org/index.php?article_id=9. Reviewing will be double-blind, and authors should be careful not to reveal their identity. Please anonymise author names, affiliations, self citation and mention of project names and websites. Leave out the acknowledgements section.
Submissions must be made through START at https://www.softconf.com/acl2016/vl16/. Style files and other information about paper formatting requirements are available via the conference website at http://acl2016.org.
Accepted papers will be published in workshop proceedings, which will be made available via the ACL Anthology.
Travel Grants:
There will be a limited number of travel grants available for early-stage researchers presenting work at the workshop. Details of this will be confirmed in future calls.
The European Network on Integrating Vision and Language (iV&L Net):
The explosive growth of visual and textual data (both on the World Wide Web and held in private repositories by diverse institutions and companies) has led to urgent requirements in terms of search, processing and management of digital content. Solutions for providing access to or mining such data depend on the semantic gap between vision and language being bridged, which in turn calls for expertise from two so far unconnected fields: Computer Vision (CV) and Natural Language Processing (NLP). The central goal of iV&L Net is to build a interdisciplinary European CV/NLP research community, targeting 4 focus themes: (i) Integrated Modelling of Vision and Language for CV and NLP Tasks; (ii) Applications of Integrated Models; (iii) Automatic Generation of Image & Video Descriptions; and (iv) Semantic Image & Video Search. iV&L Net organises and funds annual summer schools, technical meetings, research visits, data/task bench marking, and industry/end-user liaison.
Important Dates:
13 January 2016: First Call for Workshop Papers
8 May 2016: Workshop Paper Due Date
5 June 2016: Notification of Acceptance
22 June 2016: Camera-ready papers due
12 August 2016: Workshop Dates
Organisers:
Anya Belz, University of Brighton, UK
Erkut Erdem, Hacettepe University, Turkey
Katerina Pastra, CSRI and ILSP Athena Research Center, Athens, Greece
Krystian Mikolajczyk, Imperial College London, UK
Contact and Links:
Contact: a.s.belz [at] brighton.ac.uk
Workshop website: http://vision.cs.hacettepe.edu.tr/vl2015/
iV&L Net website: http://ivl-net.eu
___________________________________________________________
This email has been scanned by MessageLabs' Email Security
System on behalf of the University of Brighton.
For more information see http://www.brighton.ac.uk/is/spam/
___________________________________________________________