H
Haoyu Ren
Researcher at Samsung
Publications - 39
Citations - 639
Haoyu Ren is an academic researcher from Samsung. The author has contributed to research in topics: Object detection & Feature extraction. The author has an hindex of 13, co-authored 37 publications receiving 464 citations. Previous affiliations of Haoyu Ren include Fuzhou University & Chinese Academy of Sciences.
Papers
More filters
Posted Content
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr,Martin Danelljan,Radu Timofte,Namhyuk Ahn,Dongwoon Bai,Jie Cai,Yun Cao,Junyang Chen,Kaihua Cheng,Se Young Chun,Wei Deng,Mostafa El-Khamy,Chiu Man Ho,Xiaozhong Ji,Amin Kheradmand,Gwantae Kim,Hanseok Ko,Kanghyu Lee,Jungwon Lee,Hao Li,Ziluan Liu,Zhi-Song Liu,Shuai Liu,Yunhua Lu,Zibo Meng,Pablo Navarrete Michelini,Christian Micheloni,Kalpesh Prajapati,Haoyu Ren,Yong Hyeok Seo,Wan-Chi Siu,Kyung-Ah Sohn,Ying Tai,Rao Muhammad Umer,Shuangquan Wang,Huibing Wang,Timothy Haoning Wu,Haoning Wu,Biao Yang,Fuzhi Yang,Jaejun Yoo,Tongtong Zhao,Yuanbo Zhou,Haijie Zhuo,Ziyao Zong,Xueyi Zou +45 more
TL;DR: The NTIRE 2020 challenge addresses the real world setting, where paired true high and low-resolution images are unavailable, and the ultimate goal is to achieve the best perceptual quality, evaluated using a human study.
Proceedings ArticleDOI
Image Super Resolution Based on Fusing Multiple Convolution Neural Networks
TL;DR: Using SRCNN as individual network, the CNF network achieves the state-of-the-art accuracy on benchmark image datasets and fine-tuning the whole fused network improves the accuracy.
Proceedings ArticleDOI
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr,Martin Danelljan,Radu Timofte,Namhyuk Ahn,Dongwoon Bai,Jie Cai,Yun Cao,Junyang Chen,Kaihua Cheng,Se Young Chun,Wei Deng,Mostafa El-Khamy,Chiu Man Ho,Xiaozhong Ji,Amin Kheradmand,Gwantae Kim,Hanseok Ko,Kanghyu Lee,Jungwon Lee,Hao Li,Ziluan Liu,Zhi-Song Liu,Shuai Liu,Yunhua Lu,Zibo Meng,Pablo Navarrete Michelini,Christian Micheloni,Kalpesh Prajapati,Haoyu Ren,Yong Hyeok Seo,Wan-Chi Siu,Kyung-Ah Sohn,Ying Tai,Rao Muhammad Umer,Shuangquan Wang,Huibing Wang,Timothy Haoning Wu,Haoning Wu,Biao Yang,Fuzhi Yang,Jaejun Yoo,Tongtong Zhao,Yuanbo Zhou,Haijie Zhuo,Ziyao Zong,Xueyi Zou +45 more
TL;DR: The NTIRE 2020 challenge as discussed by the authors addressed the real world setting, where paired true high and low-resolution images are unavailable, for training, only one set of source input images is provided along with a set of unpaired high-quality target images.
Book ChapterDOI
DN-ResNet: Efficient Deep Residual Network for Image Denoising
TL;DR: In this paper, a depthwise separable residual block (DS-DN-ResNet) was proposed for blind denoising of Gaussian and additive Gaussian corrupted images.
Proceedings ArticleDOI
Fast object detection using boosted co-occurrence histograms of oriented gradients
TL;DR: This paper proposes to utilize a very large pool of CoHOG features with variable-location and variable-size blocks to capture salient characteristics of the object structure to construct an efficient and accurate cascade classifier.