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A Computational Model of Early Word Learning from the Infant's Point of View
Human infants have the remarkable ability to learn the associations betw...
06/04/2020 ∙ by Satoshi Tsutsui, et al. ∙
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Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
One-shot fine-grained visual recognition often suffers from the problem ...
11/17/2019 ∙ by Satoshi Tsutsui, et al. ∙
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Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Inspired by the remarkable ability of the infant visual learning system,...
06/04/2019 ∙ by Satoshi Tsutsui, et al. ∙
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edge2vec: Learning Node Representation Using Edge Semantics
Representation learning for networks provides a new way to mine graphs. ...
09/07/2018 ∙ by Zheng Gao, et al. ∙
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APNet: Semantic Segmentation for Pelvic MR Image
One of the time-consuming routine work for a radiologist is to discern a...
06/01/2018 ∙ by Ting-Ting Liang, et al. ∙
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Superpixel clustering with deep features for unsupervised road segmentation
Vision-based autonomous driving requires classifying each pixel as corre...
11/16/2017 ∙ by Shunta Saito, et al. ∙
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Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation
Recent work in computer vision has yielded impressive results in automat...
06/20/2017 ∙ by Satoshi Tsutsui, et al. ∙
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A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks
A key problem in automatic analysis and understanding of scientific pape...
03/15/2017 ∙ by Satoshi Tsutsui, et al. ∙
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