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Call for papers:
5th Workshop on Closing the Loop Between Vision and Language (CLVL) @ ICCV 2023
https://iccv-clvl.github.io/2023/index.html
https://cmt3.research.microsoft.com/ICCVCLVL2023/
Location: Paris
Date: October 2nd, 2023
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We are organizing a full day workshop focused on vision and language exciting research areas, helping to bolster the communication and share knowledge across tasks and approaches in this area, and provide a space to discuss the future and impact of Vision and Language technology.
This workshop features a call for 4-page papers, invited talks of wonderful speakers, challenges, contributed spotlights and posters of accepted papers as well as a panel discussion.
Call for 4-page papers (Archival and Non-Archival), for instruction and CMT, please see https://cmt3.research.microsoft.com/ICCVCLVL2023/. Accepted archival papers will appear at ICCV23 workshop proceedings.
Archival submission deadline: July 25th, 2023
Archival Notification to Authors: August 15th, 2023
Non-archival submissions deadline: August 15th, 2023
Non-archival Notification to Authors: September 1st, 2023
##Speakers:
Alane Suhr, UC Berkeley (https://www.alanesuhr.com/)
Andrew Zisserman, University of Oxford (https://www.robots.ox.ac.uk/~az/)
Felix Hill, Google DeepMind (https://fh295.github.io/)
Jiasen Lu, AI2 (https://jiasenlu.github.io/)
Karthik Narasimhan, Princeton University (https://www.cs.princeton.edu/~karthikn/)
Shuran Song, Columbia University (https://shurans.github.io/)
Trevor Darrell, UC Berkeley (https://people.eecs.berkeley.edu/~trevor/)
##Challenges:
(1) SciCap: 1st Scientific Figure Captioning Challenge (www.scicap.ai).
(2) AVDN: 1st Aerial Vision-and-Dialog Navigation Challenge (https://sites.google.com/view/aerial-vision-and-dialog/avdn-challenge?au...).
(3) Visual-Dialog Based Emotion Explanation Generation Challenge
##Organizers:
Mohamed Elhoseiny, Assistant Professor, KAUST
Angel Chang, Assistant Professor, Simon Fraser University
Xin Eric Wang, Assistant Professor, UC Santa Cruz
Gamaleldin Elsayed, Research Scientist, Google DeepMind
Kilichbek Haydarov, PhD student, KAUST