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COMPUTER VISION
VIDEO
IMAGE
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About |
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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 Papers |
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Topics of interest are mainly related to Visual (Image and Video) Question Answering including, but not limited to:
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Summary |
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VIQA 2020 : The First International Workshop on Video Question Answering and Image Question Answering will take place in Milan, Italy. It’s a 1 day event starting on Dec 01, 2020 (Tuesday) and will be winded up on Dec 01, 2020 (Tuesday). VIQA 2020 falls under the following areas: COMPUTER VISION, VIDEO, IMAGE, etc. Submissions for this Workshop can be made by Oct 10, 2020. Authors can expect the result of submission by Nov 10, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Nov 15, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the VIQA 2020
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Credits and Sources |
| [1] VIQA 2020 : The First International Workshop on Video Question Answering and Image Question Answering |
