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We introduce the task of acoustic question answering (AQA) in the area of acoustic reasoning.
“CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning”
Justin Johnson, Bharath Hariharan, Laurens van Maaten, Li Fei-Fei, C Zitnick and Ross Girshick · 1997
Earlier work this paper cites.
“The TREC-8 Question Answering Track Report.”
Ellen Voorhees · 1999
Earlier work this paper cites.
“Question Answering in Webclopedia.”
Eduard Hovy, Laurie Gerber, Ulf Hermjakob, Michael Junk and Chin-Yew Lin · 2000
Earlier work this paper cites.
“Building a question answering test collection”
Ellen Voorhees and Dawn Tice · 2000
Earlier work this paper cites.
“Patterns of Potential Answer Expressions as Clues to the Right Answers.”
Martin Soubbotin and Sergei Soubbotin · 2001
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“Learning surface text patterns for a question answering system”
Deepak Ravichandran and Eduard Hovy · 2002
Earlier work this paper cites.
“Question answering on large news video archive”
Tat-Seng Chua · 2003
Earlier work this paper cites.
“VideoQA: question answering on news video”
Hui Yang, Lekha Chaisorn, Yunlong Zhao, Shi-Yong Neo and Tat-Seng Chua · 2003
Earlier work this paper cites.
“Automated question answering from lecture videos: NLP vs. pattern matching”
Jinwei Cao, Jose Robles-Flores, Dmitri Roussinov and Jay Nunamaker · 2005
Cited alongside, same era.
“A robust passage retrieval algorithm for video question answering”
Yu-Chieh Wu and Jie-Chi Yang · 2008
Cited alongside, same era.
“A neural network for factoid question answering over paragraphs”
Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher and Hal Daumé · 2014
Cited alongside, same era.
“Vqa: Visual question answering”
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence and Devi Parikh · 2015
Cited alongside, same era.
“Algorithms to measure audio programme loudness and true-peak audio level”, 2015
Recommendation-R BS.1770-4 · 2015
Cited alongside, same era.
“Are you talking to a machine? dataset and methods for multilingual image question”
“Good-sounds.org: a framework to explore goodness in instrumental sounds”
Giuseppe Bandiera, Oriol Picas, Hiroshi Tokuda, Wataru Hariya, Koji Oishi and Xavier Serra · 2016
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In CVPR , 2016, pp. 4631–4640
“Movieqa: Understanding stories in movies through question-answering” · 2016
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“Yin and yang: Balancing and answering binary visual questions”
Peng Zhang, Yash Goyal, Douglas Summers-Stay, Dhruv Batra and Devi Parikh · 2016
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“Visual7w: Grounded question answering in images”
Yuke Zhu, Oliver Groth, Michael Bernstein and Li Fei-Fei · 2016
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“Inferring and Executing Programs for Visual Reasoning”
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C Zitnick and Ross Girshick · 2017
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“DeepStory: video story qa by deep embedded memory networks”
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Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang and Wei Xu · 2015
Cited alongside, same era.
“Visual turing test for computer vision systems”
Donald Geman, Stuart Geman, Neil Hallonquist and Laurent Younes · 2015
Cited alongside, same era.
“Analyzing the behavior of visual question answering models”
Aishwarya Agrawal, Dhruv Batra and Devi Parikh · 2016
Cited alongside, same era.
“pyLoudNorm”, https://github.com/csteinmetz1/pyloudnorm/
Christian Steinmetz
Cited in the paper.
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi and Byoung-Tak Zhang · 2017
Later among the works it cites.
“Film: Visual reasoning with a general conditioning layer”
Ethan Perez, Florian Strub, Harm De, Vincent Dumoulin and Aaron Courville · 2017
Later among the works it cites.
“Speech-Based Visual Question Answering”
Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens and Luc Gool · 2017
Later among the works it cites.