Hideaki Matsuzaki - IEEE Xplore Author Profile

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Author details

Hideaki Matsuzaki

Also published under: H. Matsuzaki, Hideai Matsuzaki

Publications

88

Citations

1,227

Publications by Year

19972023

Co-Authors:

I. AbdoT. AkeyoshiWalid AmirK. AraiJi-Min Baek

Show All Co-Authors (139)

Hideaki Matsuzaki

Also published under: H. Matsuzaki, Hideai Matsuzaki

Affiliation

NTT Device Technology Laboratories

NTT Corporation

Kanagawa, Japan

Publication Topics

High Electron Mobility Transistors,
Behavior Scale,
Tunable Laser,
Active Region,
Carrier Mobility,
Carrier Transport Properties,
Conventional Laser,
Laser Wavelength,
Output Power,
Small-signal Model,
Barrier Layer,
Bit Error Rate

Biography

Hideaki Matsuzaki (Senior Member, IEEE) received the B.S. and M.S. degrees in physics from Kyoto University, Kyoto, Japan, and the Ph.D. degree in engineering from Toyama University, Toyama, Japan, in 1993, 1995, and 2019, respectively. In 1995, he joined Nippon Telegraph and Telephone Corporation (NTT)’s Atsugi Electrical Communications Laboratories, Japan. He is currently a Senior Research Engineer, Supervisor with NTT Device Technology Laboratories Japan, and engages R&D of compound semiconductor devices, such as InP-HEMTs, HBTs, photo-diodes, and laser-diodes. He is a Senior Member of the Electron Device Society, and Institute of Electronics, Information, and Communication Engineers of Japan, and a Member of the Institute of Electrical ...

Publications

88

Citations

1,227

Publications by Year

19972023

Co-Authors:

I. Abdo
T. Akeyoshi
Walid Amir
K. Arai
Ji-Min Baek

Show All Co-Authors (139)

Author's Published Works

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Conferences (2)

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Ran He(2)
I-Hsiang Chen(2)
Huaibo Huang(2)
Yuang Ai(2)
Radu Timofte(2)
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
IEEE(2)
Vancouver, BC, Canada(2)
Batch Size(2)
Convolutional Neural Network(2)
Depthwise Convolution(2)
L1 Loss(2)
Low-resolution Images(2)

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Results

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results

Yulun Zhang;Kai Zhang;Zheng Chen;Yawei Li;Radu Timofte;Junpei Zhang;Kexin Zhang;Rui Peng;Yanbiao Ma;Licheng Jia;Huaibo Huang;Xiaoqiang Zhou;Yuang Ai;Ran He;Yajun Qiu;Qiang Zhu;Pengfei Li;Qianhui Li;Shuyuan Zhu;Dafeng Zhang;Jia Li;Fan Wang;Chunmiao Li;TaeHyung Kim;Jungkeong Kil;Eon Kim;Yeonseung Yu;Beomyeol Lee;Subin Lee;Seokjae Lim;Somi Chae;Heungjun Choi;ZhiKai Huang;YiChung Chen;YuanChun Chiang;HaoHsiang Yang;WeiTing Chen;HuaEn Chang;I-Hsiang Chen;ChiaHsuan Hsieh;SyYen Kuo;Ui-Jin Choi;Marcos V. Conde;Sunder Ali Khowaja;Jiseok Yoon;Ik Hyun Lee;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Zhao Zhang;Baiang Li;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Yanyan Wei;Jiahuan Ren;Jiayu Wei;Yanfeng Li;Jia Sun;Zhanyi Cheng;Zhiyuan Li;Xu Yao;Xinyi Wang;Danxu Li;Xuan Cui;Jun Cao;Cheng Li;Jianbin Zheng;Anjali Sarvaiya;Kalpesh Prajapati;Ratnadeep Patra;Pragnesh Barik;Chaitanya Rathod;Kishor Upla;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (17)

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This paper reviews the NTIRE 2023 challenge on image super-resolution (×4), focusing on the proposed solutions and results. The task of image super-resolution (SR) is to generate a high-resolution (HR) output from a corresponding low-resolution (LR) input by leveraging prior information from paired LR-HR images. The aim of the challenge is to obtain a network design/solution capable to produce hig...Show More

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results

Yulun Zhang;Kai Zhang;Zheng Chen;Yawei Li;Radu Timofte;Junpei Zhang;Kexin Zhang;Rui Peng;Yanbiao Ma;Licheng Jia;Huaibo Huang;Xiaoqiang Zhou;Yuang Ai;Ran He;Yajun Qiu;Qiang Zhu;Pengfei Li;Qianhui Li;Shuyuan Zhu;Dafeng Zhang;Jia Li;Fan Wang;Chunmiao Li;TaeHyung Kim;Jungkeong Kil;Eon Kim;Yeonseung Yu;Beomyeol Lee;Subin Lee;Seokjae Lim;Somi Chae;Heungjun Choi;ZhiKai Huang;YiChung Chen;YuanChun Chiang;HaoHsiang Yang;WeiTing Chen;HuaEn Chang;I-Hsiang Chen;ChiaHsuan Hsieh;SyYen Kuo;Ui-Jin Choi;Marcos V. Conde;Sunder Ali Khowaja;Jiseok Yoon;Ik Hyun Lee;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Zhao Zhang;Baiang Li;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Yanyan Wei;Jiahuan Ren;Jiayu Wei;Yanfeng Li;Jia Sun;Zhanyi Cheng;Zhiyuan Li;Xu Yao;Xinyi Wang;Danxu Li;Xuan Cui;Jun Cao;Cheng Li;Jianbin Zheng;Anjali Sarvaiya;Kalpesh Prajapati;Ratnadeep Patra;Pragnesh Barik;Chaitanya Rathod;Kishor Upla;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results

Mingdeng Cao;Chong Mou;Fanghua Yu;Xintao Wang;Yinqiang Zheng;Jian Zhang;Chao Dong;Gen Li;Ying Shan;Radu Timofte;Xiaopeng Sun;Weiqi Li;Zhenyu Zhang;Xuhan Sheng;Bin Chen;Haoyu Ma;Ming Cheng;Shijie Zhao;Wanwan Cui;Tianyu Xu;Chunyang Li;Long Bao;Heng Sun;Huaibo Huang;Xiaoqiang Zhou;Yuang Ai;Ran He;Renlong Wu;Yi Yang;Zhilu Zhang;Shuohao Zhang;Junyi Li;Yunjin Chen;Dongwei Ren;Wangmeng Zuo;Renlong Wu;Yi Yang;Zhilu Zhang;Shuohao Zhang;Junyi Li;Yunjin Chen;Dongwei Ren;Wangmeng Zuo;Zhenyu Zhang;Qian Wang;Weiqi Li;Xuhan Sheng;Bin Chen;Hao-Hsiang Yang;Yi-Chung Chen;Zhi-Kai Huang;Wei-Ting Chen;Yuan-Chun Chiang;Hua-En Chang;I-Hsiang Chen;Chia-Hsuan Hsieh;Sy-Yen Kuo;Zebin Zhang;Jiaqi Zhang;Yuhui Wang;Shuhao Cui;Junshi Huang;Li Zhu;Shuman Tian;Wei Yu;Bingchun Luo

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (24)

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This report introduces two high-quality datasets Flickr360 and ODV360 for omnidirectional image and video super-resolution, respectively, and reports the NTIRE 2023 challenge on 360° omnidirectional image and video super-resolution. Unlike ordinary 2D images/videos with a narrow field of view, omnidirectional images/videos can represent the whole scene from all directions in one shot. There exists...Show More

NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results

Mingdeng Cao;Chong Mou;Fanghua Yu;Xintao Wang;Yinqiang Zheng;Jian Zhang;Chao Dong;Gen Li;Ying Shan;Radu Timofte;Xiaopeng Sun;Weiqi Li;Zhenyu Zhang;Xuhan Sheng;Bin Chen;Haoyu Ma;Ming Cheng;Shijie Zhao;Wanwan Cui;Tianyu Xu;Chunyang Li;Long Bao;Heng Sun;Huaibo Huang;Xiaoqiang Zhou;Yuang Ai;Ran He;Renlong Wu;Yi Yang;Zhilu Zhang;Shuohao Zhang;Junyi Li;Yunjin Chen;Dongwei Ren;Wangmeng Zuo;Renlong Wu;Yi Yang;Zhilu Zhang;Shuohao Zhang;Junyi Li;Yunjin Chen;Dongwei Ren;Wangmeng Zuo;Zhenyu Zhang;Qian Wang;Weiqi Li;Xuhan Sheng;Bin Chen;Hao-Hsiang Yang;Yi-Chung Chen;Zhi-Kai Huang;Wei-Ting Chen;Yuan-Chun Chiang;Hua-En Chang;I-Hsiang Chen;Chia-Hsuan Hsieh;Sy-Yen Kuo;Zebin Zhang;Jiaqi Zhang;Yuhui Wang;Shuhao Cui;Junshi Huang;Li Zhu;Shuman Tian;Wei Yu;Bingchun Luo

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

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