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
5822018
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
4912017
Slimmable Neural Networks
J Yu, L Yang, N Xu, J Yang, T Huang
International Conference on Learning Representations (ICLR), 2019, 2018
3292018
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
2502019
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
2412016
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
1192018
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
1112018
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
632019
Universally slimmable networks and improved training techniques
J Yu, T Huang
International Conference on Computer Vision (ICCV), 2019, 2019
462019
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
402017
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
32*2017
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
J Yu, T Huang
NeurIPS 2019 Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
30*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
Method and apparatus for neural network training and construction and method and apparatus for object detection
YU Jiahui, Q Yin
US Patent 10,769,493, 2020
112020
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
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
8*2020
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
52020
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
Conformer: Convolution-augmented Transformer for Speech Recognition
A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ...
arXiv preprint arXiv:2005.08100, 2020
42020
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
42019
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Articles 1–20