J
Jiahui Yu
Researcher at Google
Publications - 79
Citations - 12796
Jiahui Yu is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 24, co-authored 66 publications receiving 6314 citations. Previous affiliations of Jiahui Yu include Adobe Systems & University of Illinois at Urbana–Champaign.
Papers
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Proceedings ArticleDOI
Generative Image Inpainting with Contextual Attention
TL;DR: Yu et al. as discussed by the authors proposed a new deep generative model-based approach which can not only synthesize novel image structures but also explicitly utilize surrounding image features as references during network training to make better predictions.
Posted Content
Generative Image Inpainting with Contextual Attention
TL;DR: In this article, a new deep generative model-based approach is proposed which can not only synthesize novel image structures but also explicitly utilize surrounding image features as references during network training to make better predictions.
Posted Content
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati,James Qin,Chung-Cheng Chiu,Niki Parmar,Yu Zhang,Jiahui Yu,Wei Han,Shibo Wang,Zhengdong Zhang,Yonghui Wu,Ruoming Pang +10 more
TL;DR: This work proposes the convolution-augmented transformer for speech recognition, named Conformer, which significantly outperforms the previous Transformer and CNN based models achieving state-of-the-art accuracies.
Proceedings ArticleDOI
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte,Eirikur Agustsson,Luc Van Gool,Ming-Hsuan Yang,Lei Zhang,Bee Oh Lim,Sanghyun Son,Heewon Kim,Seungjun Nah,Kyoung Mu Lee,Xintao Wang,Yapeng Tian,Ke Yu,Yulun Zhang,Shixiang Wu,Chao Dong,Liang Lin,Yu Qiao,Chen Change Loy,Woong Bae,Jaejun Yoo,Yoseob Han,Jong Chul Ye,Jae-Seok Choi,Munchurl Kim,Yuchen Fan,Jiahui Yu,Wei Han,Ding Liu,Haichao Yu,Zhangyang Wang,Honghui Shi,Xinchao Wang,Thomas S. Huang,Yunjin Chen,Kai Zhang,Wangmeng Zuo,Zhimin Tang,Linkai Luo,Shaohui Li,Min Fu,Lei Cao,Wen Heng,Giang Bui,Truc Le,Ye Duan,Dacheng Tao,Ruxin Wang,Xu Lin,Jianxin Pang,Xu Jinchang,Yu Zhao,Xiangyu Xu,Jinshan Pan,Deqing Sun,Yujin Zhang,Xibin Song,Yuchao Dai,Xueying Qin,Xuan-Phung Huynh,Tiantong Guo,Hojjat Seyed Mousavi,Tiep H. Vu,Vishal Monga,Cristóvão Cruz,Karen Egiazarian,Vladimir Katkovnik,Rakesh Mehta,Arnav Kumar Jain,Abhinav Agarwalla,Ch V. Sai Praveen,Ruofan Zhou,Hongdiao Wen,Che Zhu,Zhiqiang Xia,Zhengtao Wang,Qi Guo +76 more
TL;DR: This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results and gauges the state-of-the-art in single imagesuper-resolution.
Proceedings ArticleDOI
Free-Form Image Inpainting With Gated Convolution
TL;DR: Yu et al. as mentioned in this paper proposed a generative image inpainting system to complete images with free-form mask and guidance, which is based on gated convolutions learned from millions of images without additional labeling efforts.