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8 results on '"Oyama, Taiki"'

2. Influence of Image Classification Accuracy on Saliency Map Estimation

Author

Oyama, Taiki and Yamanaka, Takao

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Saliency map estimation in computer vision aims to estimate the locations where people gaze in images. Since people tend to look at objects in images, the parameters of the model pretrained on ImageNet for image classification are useful for the saliency map estimation. However, there is no research on the relationship between the image classification accuracy and the performance of the saliency map estimation. In this paper, it is shown that there is a strong correlation between image classification accuracy and saliency map estimation accuracy. We also investigated the effective architecture based on multi scale images and the upsampling layers to refine the saliency-map resolution. Our model achieved the state-of-the-art accuracy on the PASCAL-S, OSIE, and MIT1003 datasets. In the MIT Saliency Benchmark, our model achieved the best performance in some metrics and competitive results in the other metrics., Comment: CAAI Transactions on Intelligence Technology, accepted in 2018

Published
2018

3. An immune-adrenergic pathway induces lethal levels of platelet-activating factor in mice

Author

90301233, Tanaka, Shuto, Kawakita, Masataka, Yasui, Hikaru, Sudo, Koichi, Itoh, Fumie, Sasaki, Masato, Shibata, Nobuyuki, Hara, Hiromitsu, Iwakura, Yoichiro, Hashidate-Yoshida, Tomomi, Shindou, Hideo, Shimizu, Takao, Oyama, Taiki, Matsunaga, Himawari, Takahara, Kazuhiko, 90301233, Tanaka, Shuto, Kawakita, Masataka, Yasui, Hikaru, Sudo, Koichi, Itoh, Fumie, Sasaki, Masato, Shibata, Nobuyuki, Hara, Hiromitsu, Iwakura, Yoichiro, Hashidate-Yoshida, Tomomi, Shindou, Hideo, Shimizu, Takao, Oyama, Taiki, Matsunaga, Himawari, and Takahara, Kazuhiko

Published
2024

5. Cell wall N-glycan of Candida albicans ameliorates early hyper- and late hypo-immunoreactivity in sepsis

Author

70791276, 90193177, 90301233, Kawakita, Masataka, Oyama, Taiki, Shirai, Ikuma, Tanaka, Shuto, Akaki, Kotaro, Abe, Shinya, Asahi, Takuma, Cui, Guangwei, Itoh, Fumie, Sasaki, Masato, Shibata, Nobuyuki, Ikuta, Koichi, Hatakeyama, Tomomitsu, Takahara, Kazuhiko, 70791276, 90193177, 90301233, Kawakita, Masataka, Oyama, Taiki, Shirai, Ikuma, Tanaka, Shuto, Akaki, Kotaro, Abe, Shinya, Asahi, Takuma, Cui, Guangwei, Itoh, Fumie, Sasaki, Masato, Shibata, Nobuyuki, Ikuta, Koichi, Hatakeyama, Tomomitsu, and Takahara, Kazuhiko

Abstract

Severe infection often causes a septic cytokine storm followed by immune exhaustion/paralysis. Not surprisingly, many pathogens are equipped with various anti-inflammatory mechanisms. Such mechanisms might be leveraged clinically to control septic cytokine storms. Here we show that N-glycan from pathogenic C. albicans ameliorates mouse sepsis through immunosuppressive cytokine IL-10. In a sepsis model using lipopolysaccharide (LPS), injection of the N-glycan upregulated serum IL-10, and suppressed pro-inflammatory IL-1 beta, TNF-alpha and IFN-gamma. The N-glycan also improved the survival of mice challenged by LPS. Analyses of structurally defined N-glycans from several yeast strains revealed that the mannose core is key to the upregulation of IL-10. Knocking out the C-type lectin Dectin-2 abrogated the N-glycan-mediated IL-10 augmentation. Furthermore, C. albicans N-glycan ameliorated immune exhaustion/immune paralysis after acute inflammation. Our results suggest a strategy where the immunosuppressive mechanism of one pathogen can be applied to attenuate a severe inflammation/cytokine storm caused by another pathogen.

Published
2021

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