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Nataniel Ruiz
Nataniel Ruiz
Research Scientist, Google
Подтвержден адрес электронной почты в домене bu.edu - Главная страница
Название
Процитировано
Процитировано
Год
Fine-Grained Head Pose Estimation Without Keypoints
N Ruiz, E Chong, JM Rehg
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
5042018
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
N Ruiz, Y Li, V Jampani, Y Pritch, M Rubinstein, K Aberman
Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2022
3922022
Learning to Simulate
N Ruiz, S Schulter, M Chandraker
International Conference on Learning Representations (ICLR) 2019, 2018
1122018
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency
E Chong, N Ruiz, Y Wang, Y Zhang, A Rozga, JM Rehg
The European Conference on Computer Vision (ECCV) 2018, 2018
1032018
Detecting Attended Visual Targets in Video
E Chong, Y Wang, N Ruiz, JM Rehg
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020
792020
Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
N Ruiz, SA Bargal, S Sclaroff
European Conference on Computer Vision (ECCV). Springer, Cham, 2020, 2020
782020
Detecting Gaze Towards Eyes in Natural Social Interactions and its Use in Child Assessment
E Chong, K Chanda, Z Ye, A Southerland, N Ruiz, RM Jones, A Rozga, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
582017
Dreambooth3d: Subject-driven text-to-3d generation
A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ...
arXiv preprint arXiv:2303.13508, 2023
132023
Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container
N Ruiz, JM Rehg
arXiv preprint arXiv:1708.04370, 2017
132017
Subject-driven text-to-image generation via apprenticeship learning
W Chen, H Hu, Y Li, N Rui, X Jia, MW Chang, WW Cohen
arXiv preprint arXiv:2304.00186, 2023
112023
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
N Ruiz, BJ Theobald, A Ranjan, AH Abdelaziz, N Apostoloff
British Machine Vision Conference (BMVC) 2021, 2021
102021
Learning to localize and align fine-grained actions to sparse instructions
M Hahn, N Ruiz, JB Alayrac, I Laptev, JM Rehg
arXiv preprint arXiv:1809.08381, 2018
92018
Simulated Adversarial Testing of Face Recognition Models
N Ruiz, A Kortylewski, W Qiu, C Xie, SA Bargal, A Yuille, S Sclaroff
Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2021
72021
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks
N Ruiz, SA Bargal, S Sclaroff
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2020
72020
Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models
N Ruiz, Y Li, V Jampani, W Wei, T Hou, Y Pritch, N Wadhwa, M Rubinstein, ...
arXiv preprint arXiv:2307.06949, 2023
32023
StyleDrop: Text-to-Image Generation in Any Style
K Sohn, N Ruiz, K Lee, DC Chin, I Blok, H Chang, J Barber, L Jiang, ...
arXiv preprint arXiv:2306.00983, 2023
32023
ATL-BP: a student engagement dataset and model for affect transfer learning for behavior prediction
N Ruiz, H Yu, DA Allessio, M Jalal, A Joshi, T Murray, JJ Magee, ...
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2022
32022
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
AN Lee, CJ Hunter, N Ruiz
arXiv preprint arXiv:2308.07317, 2023
22023
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
N Ruiz, SA Bargal, C Xie, K Saenko, S Sclaroff
Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022
22022
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
N Ruiz, M Jalal, V Ablavsky, D Allessio, J Magee, J Whitehill, I Arroyo, ...
IEEE International Conference on Automatic Face and Gesture Recognition (FG …, 2020
22020
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