关注
Olivia Wiles
Olivia Wiles
DeepMind
在 deepmind.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
X2face: A network for controlling face generation using images, audio, and pose codes
O Wiles, A Koepke, A Zisserman
Proceedings of the European conference on computer vision (ECCV), 670-686, 2018
4582018
Synsin: End-to-end view synthesis from a single image
O Wiles, G Gkioxari, R Szeliski, J Johnson
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4072020
Data augmentation can improve robustness
SA Rebuffi, S Gowal, DA Calian, F Stimberg, O Wiles, TA Mann
Advances in Neural Information Processing Systems 34, 29935-29948, 2021
2582021
Fixing data augmentation to improve adversarial robustness
SA Rebuffi, S Gowal, DA Calian, F Stimberg, O Wiles, T Mann
arXiv preprint arXiv:2103.01946, 2021
2532021
Improving robustness using generated data
S Gowal, SA Rebuffi, O Wiles, F Stimberg, DA Calian, TA Mann
Advances in Neural Information Processing Systems 34, 4218-4233, 2021
2422021
A fine-grained analysis on distribution shift
O Wiles, S Gowal, F Stimberg, S Alvise-Rebuffi, I Ktena, K Dvijotham, ...
arXiv preprint arXiv:2110.11328, 2021
2022021
Self-supervised learning of a facial attribute embedding from video
O Wiles, A Koepke, A Zisserman
arXiv preprint arXiv:1808.06882, 2018
1372018
SilNet: Single-and Multi-View Reconstruction by Learning from Silhouettes
O Wiles, A Zisserman
British Machine Vision Conference (BMVC), 2017
1222017
D2d: Learning to find good correspondences for image matching and manipulation
O Wiles, S Ehrhardt, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision, 2021
60*2021
Defending against image corruptions through adversarial augmentations
DA Calian, F Stimberg, O Wiles, SA Rebuffi, A Gyorgy, T Mann, S Gowal
arXiv preprint arXiv:2104.01086, 2021
462021
Differentially private diffusion models generate useful synthetic images
S Ghalebikesabi, L Berrada, S Gowal, I Ktena, R Stanforth, J Hayes, S De, ...
arXiv preprint arXiv:2302.13861, 2023
452023
Sight to sound: An end-to-end approach for visual piano transcription
AS Koepke, O Wiles, Y Moses, A Zisserman
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
382020
Discovering bugs in vision models using off-the-shelf image generation and captioning
O Wiles, I Albuquerque, S Gowal
arXiv preprint arXiv:2208.08831, 2022
272022
Generative models improve fairness of medical classifiers under distribution shifts
I Ktena, O Wiles, I Albuquerque, SA Rebuffi, R Tanno, AG Roy, S Azizi, ...
Nature Medicine, 1-8, 2024
192024
Learning to predict 3d surfaces of sculptures from single and multiple views
O Wiles, A Zisserman
International Journal of Computer Vision 127 (11), 1780-1800, 2019
142019
Visual pitch estimation
A Koepke, O Wiles, A Zisserman
Sound and Music Computing Conference, 2019
122019
Compressed vision for efficient video understanding
O Wiles, J Carreira, I Barr, A Zisserman, M Malinowski
Proceedings of the Asian Conference on Computer Vision, 4581-4597, 2022
72022
A closer look at the adversarial robustness of information bottleneck models
I Korshunova, D Stutz, AA Alemi, O Wiles, S Gowal
arXiv preprint arXiv:2107.05712, 2021
42021
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings
O Wiles, C Zhang, I Albuquerque, I Kajić, S Wang, E Bugliarello, Y Onoe, ...
arXiv preprint arXiv:2404.16820, 2024
22024
A fine-grained analysis of robustness to distribution shifts
O Wiles, S Gowal, F Stimberg, SA Rebuffi, I Ktena, KD Dvijotham, ...
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
22021
系统目前无法执行此操作,请稍后再试。
文章 1–20