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Nataniel Ruiz
Nataniel Ruiz
Research Scientist, Google
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
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
11802022
Fine-Grained Head Pose Estimation Without Keypoints
N Ruiz, E Chong, JM Rehg
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
5812018
Learning to Simulate
N Ruiz, S Schulter, M Chandraker
International Conference on Learning Representations (ICLR) 2019, 2018
1302018
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
1272018
Dreambooth3d: Subject-driven text-to-3d generation
A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1032023
Detecting Attended Visual Targets in Video
E Chong, Y Wang, N Ruiz, JM Rehg
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020
1032020
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
1012020
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
672017
Subject-driven text-to-image generation via apprenticeship learning
W Chen, H Hu, Y Li, N Ruiz, X Jia, MW Chang, WW Cohen
arXiv preprint arXiv:2304.00186, 2023
632023
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
582023
Platypus: Quick, cheap, and powerful refinement of llms
AN Lee, CJ Hunter, N Ruiz
arXiv preprint arXiv:2308.07317, 2023
472023
StyleDrop: Text-to-Image Generation in Any Style
K Sohn, N Ruiz, K Lee, DC Chin, I Blok, H Chang, J Barber, L Jiang, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023
46*2023
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
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
122021
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
102021
Realfill: Reference-driven generation for authentic image completion
L Tang, N Ruiz, Q Chu, Y Li, A Holynski, DE Jacobs, B Hariharan, Y Pritch, ...
arXiv preprint arXiv:2309.16668, 2023
92023
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
92020
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
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
72022
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
62022
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Articles 1–20