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Donghao Luo - IEEE Xplore Author Profile

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Author details

Donghao Luo

Also published under: Dengyan Luo

Publications

10

Citations

501

Publications by Year

20202024

Co-Authors:

Panaetov AlexanderSunder Ali KhowajaAditya AroraMustafa AyazoğluThong Bach

Show All Co-Authors (372)

Donghao Luo

Also published under: Dengyan Luo

Affiliation

Tencent Youtu Lab.

Publication Topics

Convolutional Layers,
Input Frames,
Optical Flow,
Target Frame,
Consecutive Frames,
Flow Estimation,
Frame Interpolation,
Intermediate Flow,
Intermediate Frames,
L2 Loss,
Residual Block,
Adam Optimizer

Biography

Donghao Luo received the bachelor’s degree from Tongji University in 2015 and the master’s degree from Shanghai Jiao Tong University in 2018. He is currently a Senior Researcher at the Youtu Laboratory, Tencent. He has published more than ten conference papers including CVPR/ICCV/ECCV. His research interests include action recognition/detection, super-resolution, video frame interpolation, and text-to-image.(Based on document published on 19 September 2023).

Publications

10

Citations

501

Publications by Year

20202024

Co-Authors:

Panaetov Alexander
Sunder Ali Khowaja
Aditya Arora
Mustafa Ayazoğlu
Thong Bach

Show All Co-Authors (372)

Author's Published Works

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Showing 1-2 of 2 results

Conferences (2)

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Single Year
Lin Zha(2)
Jiande Jiang(2)
Jong Chul Ye(1)
Shengchen Zhu(1)
Zhipeng Luo(1)
Qingdao Hi-image Technologies Co.,Ltd (Hisense Visual Technology Co.,Ltd.)(1)
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
IEEE(2)
New Orleans, LA, USA(1)
Seattle, WA, USA(1)
Low-resolution Images(2)
Residual Block(2)
Single Image Super-resolution(2)
Super-resolution(2)
Adam Optimizer(1)

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Results

Asymmetric Information Distillation Network for Lightweight Super Resolution

Zhikai Zong;Lin Zha;Jiande Jiang;Xiaoxiao Liu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

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The purpose of this paper is to design a lightweight network to achieve image super resolution performance equivalent to SRResNet. We design an asymmetric information distillation block (AIDB) with distillation information multiplexing and asymmetric information extraction capabilities to better achieve this goal. Distillation information multiplexing refers to the repeated processing of distilled...Show More

Asymmetric Information Distillation Network for Lightweight Super Resolution

Zhikai Zong;Lin Zha;Jiande Jiang;Xiaoxiao Liu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2022 | Conference Paper |

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang;Shuhang Gu;Radu Timofte;Taizhang Shang;Qiuju Dai;Shengchen Zhu;Tong Yang;Yandong Guo;Younghyun Jo;Sejong Yang;Seon Joo Kim;Lin Zha;Jiande Jiang;Xinbo Gao;Wen Lu;Jing Liu;Kwangjin Yoon;Taegyun Jeon;Kazutoshi Akita;Takeru Ooba;Norimichi Ukita;Zhipeng Luo;Yuehan Yao;Zhenyu Xu;Dongliang He;Wenhao Wu;Yukang Ding;Chao Li;Fu Li;Shilei Wen;Jianwei Li;Fuzhi Yang;Huan Yang;Jianlong Fu;Byung-Hoon Kim;JaeHyun Baek;Jong Chul Ye;Yuchen Fan;Thomas S. Huang;Junyeop Lee;Bokyeung Lee;Jungki Min;Gwantae Kim;Kanghyu Lee;Jaihyun Park;Mykola Mykhailych;Haoyu Zhong;Yukai Shi;Xiaojun Yang;Zhijing Yang;Liang Lin;Tongtong Zhao;Jinjia Peng;Huibing Wang;Zhi Jin;Jiahao Wu;Yifu Chen;Chenming Shang;Huanrong Zhang;Jeongki Min;P.S. Hrishikesh;Densen Puthussery;C.V. Jiji

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2020 | Conference Paper |

Cited by: Papers (32)

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This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor ×16 based on a set of prior examples of low and corresponding high resolution images. The goal is to obtain a network design capable to produce high resolution results with the best percep...Show More

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang;Shuhang Gu;Radu Timofte;Taizhang Shang;Qiuju Dai;Shengchen Zhu;Tong Yang;Yandong Guo;Younghyun Jo;Sejong Yang;Seon Joo Kim;Lin Zha;Jiande Jiang;Xinbo Gao;Wen Lu;Jing Liu;Kwangjin Yoon;Taegyun Jeon;Kazutoshi Akita;Takeru Ooba;Norimichi Ukita;Zhipeng Luo;Yuehan Yao;Zhenyu Xu;Dongliang He;Wenhao Wu;Yukang Ding;Chao Li;Fu Li;Shilei Wen;Jianwei Li;Fuzhi Yang;Huan Yang;Jianlong Fu;Byung-Hoon Kim;JaeHyun Baek;Jong Chul Ye;Yuchen Fan;Thomas S. Huang;Junyeop Lee;Bokyeung Lee;Jungki Min;Gwantae Kim;Kanghyu Lee;Jaihyun Park;Mykola Mykhailych;Haoyu Zhong;Yukai Shi;Xiaojun Yang;Zhijing Yang;Liang Lin;Tongtong Zhao;Jinjia Peng;Huibing Wang;Zhi Jin;Jiahao Wu;Yifu Chen;Chenming Shang;Huanrong Zhang;Jeongki Min;P.S. Hrishikesh;Densen Puthussery;C.V. Jiji

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2020 | Conference Paper |

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