CLB 2015 - First workshop on Closing the Loop Between Vision and Language

The submitted papers will be peer-reviewed (double blind) and included in ICCV15 workshop proceedings and/or a special journal session. Accepted papers will be presented in the workshop poster session. A portion of the accepted papers will be orally presented. We solicit full papers of 8 pages. Topics of this workshop include
learning to solve non-visual tasks using visual cues
question answering by visual verification
novel problems in vision and language
visual sense disambiguation
deep learning methods for vision and language
visual Reasoning on language problems
language based visual abstraction
text as weak labels for image or video classification.
image/Video Annotation and natural language description Generation,
text-to-scene generation
transfer learning for vision and language,
jointly learn to parse and perceive (text+image, text+video)
multimodal clustering and word sense disambiguation
unstructured text search for visual content
visually grounded language acquisition and understanding
language-based image and video search
linguistic descriptions of spatial relations
auto-illustration
natural language grounding & learning by watching
learning knowledge from the web
language as a mechanism to structure and reason about visual perception
language as a learning bias to aid vision in both machines and humans
dialog as means of sharing knowledge about visual perception
stories as means of abstraction
understanding the relationship between language and vision in humans