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
3772018
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
3552017
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
1662016
Slimmable Neural Networks
J Yu, L Yang, N Xu, J Yang, T Huang
International Conference on Learning Representations (ICLR), 2019, 2018
1542018
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
1392019
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
832018
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
632018
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
362019
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
292017
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
242018
Learning object detectors from scratch with gated recurrent feature pyramids
Z Shen, H Shi, J Yu, R Feris, L Cao, S Yan, D Liu, X Wang, X Xue, ...
BMVC 2019, 2017
222017
Universally slimmable networks and improved training techniques
J Yu, T Huang
International Conference on Computer Vision (ICCV), 2019, 2019
162019
Network slimming by slimmable networks: Towards one-shot architecture search for channel numbers
J Yu, T Huang
arXiv preprint arXiv:1903.11728, 2019
132019
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
72018
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
J Yu, T Huang
arXiv preprint arXiv:1903.11728 8, 2019
22019
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
22017
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
Z Shen, Z He, W Cui, J Yu, Y Zheng, C Zhu, M Savvides
arXiv preprint arXiv:1908.08520, 2019
12019
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Y Yang, J Yu, N Jojic, J Huan
arXiv preprint arXiv:1902.03264, 2019
12019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
Y Yang, J Yu, X Li, J Huan, T Huang
arXiv preprint arXiv:1902.00873, 2019
12019
An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration
Y Fan, J Yu, D Liu, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
12019
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