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Hits 1 – 15 of 15

1
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ...
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2
Coreference by Appearance: Visually Grounded Event Coreference Resolution ...
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3
Analogical Reasoning for Visually Grounded Language Acquisition ...
Wu, Bo; Qin, Haoyu; Zareian, Alireza. - : arXiv, 2020
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4
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding ...
Chen, Long; Ma, Wenbo; Xiao, Jun. - : arXiv, 2020
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5
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020
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6
Learning to Learn Words from Visual Scenes ...
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7
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs ...
Abstract: The increasing availability of affect-rich multimedia resources has bolstered interest in understanding sentiment and emotions in and from visual content. Adjective-noun pairs (ANP) are a popular mid-level semantic construct for capturing affect via visually detectable concepts such as "cute dog" or "beautiful landscape". Current state-of-the-art methods approach ANP prediction by considering each of these compound concepts as individual tokens, ignoring the underlying relationships in ANPs. This work aims at disentangling the contributions of the `adjectives' and `nouns' in the visual prediction of ANPs. Two specialised classifiers, one trained for detecting adjectives and another for nouns, are fused to predict 553 different ANPs. The resulting ANP prediction model is more interpretable as it allows us to study contributions of the adjective and noun components. Source code and models are available at https://imatge-upc.github.io/affective-2017-musa2/ . ... : Oral paper at ACM Multimedia 2017 Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes (MUSA2) ...
Keyword: Artificial Intelligence cs.AI; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Multimedia cs.MM
URL: https://arxiv.org/abs/1708.06039
https://dx.doi.org/10.48550/arxiv.1708.06039
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8
Multilingual visual sentiment concept clustering and analysis
In: http://infoscience.epfl.ch/record/225951 (2017)
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9
Multilingual Visual Sentiment Concept Matching ...
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10
Columbia MVSO Image Sentiment Dataset ...
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11
Going Deeper for Multilingual Visual Sentiment Detection ...
Jou, Brendan; Chang, Shih-Fu. - : arXiv, 2016
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12
Multilingual Visual Sentiment Concept Matching
In: http://infoscience.epfl.ch/record/218119 (2016)
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13
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology ...
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14
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology
In: http://infoscience.epfl.ch/record/210628 (2015)
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15
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks ...
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