[visionlist] [CFP] Video and Image Question Answering (VIQA) Workshop at ICPR 2020

Falcon Alex falcon.alex at spes.uniud.it
Thu Oct 15 11:05:43 -04 2020

Video and Image Question Answering (VIQA) Workshop at ICPR 2020


Call For Paper flyer here<https://drive.google.com/file/d/1lagAWl8oWgM2LuzZQKSywlh5A1lXrDSz/view>

Submit your paper here<http://cmt3.research.microsoft.com/viqa2020>. Please note that papers not accepted in the ICPR2020 main conference and fitting the VIQA topics can be submitted here! Authors should address all ICPR reviewers' comments in the submitted paper and submit the ICPR reviews as supplementary material. The deadline has been extended to October 17th, 2020!

Organized in conjunction with the 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, January 10-15, 2021 (https://www.micc.unifi.it/icpr2020/)


Image Question Answering and Video Question Answering are two tasks involving the realization of models able to analyze the visual content of an image or a video, and produce a meaningful answer to visual content-related questions. These tasks both involve spatial, frame-level reasoning. Moreover, Video Question Answering also requires temporal, video-level reasoning which further raises the difficulty of the task. Solving these tasks would represent the ability to train models able to jointly analyze and reason on visual contents and textual contents at a human-level: the obtained models would be able to learn to isolate and pinpoint objects of interest in video (or image), and to identify and reason about their interactions in both the spatial and temporal domains. Image and Video Question Answering thus represent a challenging, but fundamental task in both Computer Vision and Natural Language Processing communities.

The first Video and Image Question Answering (VIQA) Workshop will be held at the 25th International Conference on Pattern Recognition (ICPR2020) and will focus on these two fundamental tasks, while covering several tasks in both Computer Vision and Natural Language Processing fields. Given the availability of new large scale image and video datasets, these tasks are getting more and more attention.

The first VIQA workshop wants to gather all the people from academia and industry interested in the aforementioned topics, this in order to stimulate the sharing between participants of state-of-the-art approaches, best practices, and future directions.

A special issue about Video and Image Question Answering is going to be organized in a top journal.


Topics of interest are mainly related to Visual (Image and Video) Question Answering including, but not limited to:

  *   Datasets and evaluation

  *   Deep learning methods for vision and language

  *   Egocentric visual question answering

  *   Image question answering

  *   Multimodal question answering

  *   Representation learning

  *   Transfer learning for vision and language

  *   Video analysis and understanding

  *   Video question answering

  *   Video summarization

  *   Vision and language and/or other modalities

  *   Vision applications and systems

  *   Visual reasoning and logical representation


Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Two types of contribution will be considered:

  *   Full papers (12-15 pages, including references)

  *   Short papers (6-8 pages, including references)

Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and orally present the paper.


Submission deadline: October 17th 2020 (extended)

Author notification: November 10th 2020

Camera-ready submission: November 15th 2020


Best regards from the VIQA Workshop organizers!

Falcon Alex, PhD student at Fondazione Bruno Kessler and University of Udine (Italy)

Giuseppe Serra, University of Udine (Italy)

Oswald Lanz, Fondazione Bruno Kessler (Italy)

Rainer Stiefelhagen, Karlsruhe Institute of Technology (Germany)

Makarand Tapaswi, Inria Paris (France)

For further information, please send an email to Alex Falcon at falcon.alex at spes.uniud.it<mailto:falcon.alex at spes.uniud.it>

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