Jiahui Yu
Jiahui Yu
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Generative image inpainting with contextual attention
J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
5262018
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
4602017
Slimmable Neural Networks
J Yu, L Yang, N Xu, J Yang, T Huang
International Conference on Learning Representations (ICLR), 2019, 2018
2912018
Unitbox: An advanced object detection network
J Yu, Y Jiang, Z Wang, Z Cao, T Huang
ACM International Conference on Multimedia (ACM MM), 2016, 2016
2222016
Free-form image inpainting with gated convolution
J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang
International Conference on Computer Vision (ICCV), 2019, 2019
2212019
Ntire 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool, L Zhang, MH Yang, M Haris, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1132018
Wide activation for efficient and accurate image super-resolution
J Yu, Y Fan, J Yang, N Xu, Z Wang, X Wang, T Huang
BMVC 2019 (challenge report of the winning solution in NTIRE Challenge on …, 2018
1032018
Foreground-aware Image Inpainting
W Xiong, J Yu, Z Lin, J Yang, X Lu, C Barnes, J Luo
Computer Vision and Pattern Recognition (CVPR), 2019, 2019
562019
Universally slimmable networks and improved training techniques
J Yu, T Huang
International Conference on Computer Vision (ICCV), 2019, 2019
372019
Balanced two-stage residual networks for image super-resolution
Y Fan, H Shi, J Yu, D Liu, W Han, H Yu, Z Wang, X Wang, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
372017
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
J Yu, T Huang
arXiv preprint arXiv:1903.11728, 2019
28*2019
Wide-activated deep residual networks based restoration for BPG-compressed images
Y Fan, J Yu, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
282018
Improving object detection from scratch via gated feature reuse
Z Shen, H Shi, J Yu, H Phan, R Feris, L Cao, D Liu, X Wang, T Huang, ...
BMVC 2019, 2017
26*2017
Ntire 2020 challenge on image and video deblurring
S Nah, S Son, RT Huck, KM Lee, Y Tseng, YS Xu, CM Chiang, YM Tsai, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
102020
Method and apparatus for neural network training and construction and method and apparatus for object detection
YU Jiahui, Q Yin
US Patent App. 15/660,494, 2018
92018
Bignas: Scaling up neural architecture search with big single-stage models
J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ...
European Conference on Computer Vision (ECCV), 2020, 2020
7*2020
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Y Yang, J Yu, N Jojic, J Huan
International Conference on Learning Representations (ICLR), 2020, 2019
52019
ContextNet: Improving convolutional neural networks for automatic speech recognition with global context
W Han, Z Zhang, Y Zhang, J Yu, CC Chiu, J Qin, A Gulati, R Pang, Y Wu
arXiv preprint arXiv:2005.03191, 2020
42020
Scale-wise Convolution for Image Restoration
Y Fan, J Yu, D Liu, TS Huang
AAAI 2020, 2019
32019
Digital Image Completion by Learning Generation and Patch Matching Jointly
Z Lin, X Lu, S Xiaohui, J Yang, J Yu
US Patent App. 15/980,691, 2019
32019
The system can't perform the operation now. Try again later.
Articles 1–20