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Jiahui Yu
Jiahui Yu
Research Scientist, OpenAI
Verified email at openai.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
25902018
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
25512020
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
18822019
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
16302017
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
14102016
Coca: Contrastive captioners are image-text foundation models
J Yu, Z Wang, V Vasudevan, L Yeung, M Seyedhosseini, Y Wu
arXiv preprint arXiv:2205.01917, 2022
8992022
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
7722023
Simvlm: Simple visual language model pretraining with weak supervision
Z Wang, J Yu, AW Yu, Z Dai, Y Tsvetkov, Y Cao
arXiv preprint arXiv:2108.10904, 2021
6442021
Scaling autoregressive models for content-rich text-to-image generation
J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ...
arXiv preprint arXiv:2206.10789 2 (3), 5, 2022
6402022
Slimmable neural networks
J Yu, L Yang, N Xu, J Yang, T Huang
arXiv preprint arXiv:1812.08928, 2018
5912018
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
4922018
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
4372023
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
4222019
Universally slimmable networks and improved training techniques
J Yu, T Huang
International Conference on Computer Vision (ICCV), 2019, 2019
3822019
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
3452018
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
2832020
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
2692020
Vector-quantized image modeling with improved vqgan
J Yu, X Li, JY Koh, H Zhang, R Pang, J Qin, A Ku, Y Xu, J Baldridge, Y Wu
arXiv preprint arXiv:2110.04627, 2021
2332021
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
J Yu, T Huang
NeurIPS 2019 Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
225*2019
Pyramid attention network for image restoration
Y Mei, Y Fan, Y Zhang, J Yu, Y Zhou, D Liu, Y Fu, TS Huang, H Shi
International Journal of Computer Vision 131 (12), 3207-3225, 2023
1522023
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Articles 1–20