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VIQA 2020 : The First International Workshop on Video Question Answering and Image Question Answering

Milan, Italy
Event Date: Dec 01, 2020 - Dec 01, 2020
Submission Deadline: Oct 10, 2020
Notification of Acceptance: Nov 10, 2020
Camera Ready Version Due : Nov 15, 2020

About

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.

Call For Paper

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

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