Y
Yuichi Ito
Researcher at Kyoto University
Publications - 8
Citations - 383
Yuichi Ito is an academic researcher from Kyoto University. The author has contributed to research in topics: Nanocrystal & Photoluminescence. The author has an hindex of 6, co-authored 8 publications receiving 340 citations. Previous affiliations of Yuichi Ito include Nikon.
Papers
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Journal ArticleDOI
Mechanism of photoluminescence enhancement in single semiconductor nanocrystals on metal surfaces
TL;DR: In this paper, the mechanism of photoluminescence enhancement and quenching of single core/shell nanocrystals on Au surfaces was studied by means of single nanocrystal spectroscopy.
Journal ArticleDOI
Photoluminescence enhancement and quenching of single CdSe∕ZnS nanocrystals on metal surfaces dominated by plasmon resonant energy transfer
TL;DR: In this paper, the authors studied the mechanism of photoluminescence enhancement and quenching of single CdSe∕ZnS nanocrystals on rough Au surfaces.
Posted Content
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov,Radu Timofte,Zhilu Zhang,Ming Liu,Haolin Wang,Wangmeng Zuo,Jiawei Zhang,Ruimao Zhang,Zhanglin Peng,Sijie Ren,Linhui Dai,Xiaohong Liu,Chengqi Li,Jun Chen,Yuichi Ito,Bhavya Vasudeva,Puneesh Deora,Umapada Pal,Zhenyu Guo,Yu Zhu,Tian Liang,Chenghua Li,Cong Leng,Zhihong Pan,Baopu Li,Byung-Hoon Kim,Joonyoung Song,Jong Chul Ye,JaeHyun Baek,Magauiya Zhussip,Yeskendir Koishekenov,Hwechul Cho Ye,Xin Liu,Xueying Hu,Jun Jiang,Jinwei Gu,Kai Li,Pengliang Tan,Bingxin Hou +38 more
TL;DR: This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results, defining the state-of-the-art for practical image signal processing pipeline modeling.
Book ChapterDOI
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov,Radu Timofte,Zhilu Zhang,Ming Liu,Haolin Wang,Wangmeng Zuo,Jiawei Zhang,Ruimao Zhang,Zhanglin Peng,Sijie Ren,Linhui Dai,Xiaohong Liu,Chengqi Li,Jun Chen,Yuichi Ito,Bhavya Vasudeva,Puneesh Deora,Umapada Pal,Zhenyu Guo,Yu Zhu,Tian Liang,Chenghua Li,Cong Leng,Zhihong Pan,Baopu Li,Byung-Hoon Kim,Joonyoung Song,Jong Chul Ye,JaeHyun Baek,Magauiya Zhussip,Yeskendir Koishekenov,Hwechul Cho Ye,Xin Liu,Xueying Hu,Jun Jiang,Jinwei Gu,Kai Li,Pengliang Tan,Bingxin Hou +38 more
TL;DR: The second AIM learned ISP challenge as mentioned in this paper focused on real-world RAW-to-RGB mapping problem, where the goal was to map the original low-quality RAW images captured by the Huawei P20 device to the same photos obtained with the Canon 5D DSLR camera.
Book ChapterDOI
Detecting interesting events using unsupervised density ratio estimation
TL;DR: This paper defines interesting events as unusual events which occur rarely in the entire video and proposes a novel interesting event summarization framework based on the technique of density ratio estimation recently introduced in machine learning.