Nataniel Ruiz
Nataniel Ruiz
Research Scientist, Google
Verified email at - Homepage
Cited by
Cited by
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
Fine-Grained Head Pose Estimation Without Keypoints
N Ruiz, E Chong, JM Rehg
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Learning to Simulate
N Ruiz, S Schulter, M Chandraker
International Conference on Learning Representations (ICLR) 2019, 2018
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
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
Detecting Attended Visual Targets in Video
E Chong, Y Wang, N Ruiz, JM Rehg
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020
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
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
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, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
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
Platypus: Quick, cheap, and powerful refinement of llms
AN Lee, CJ Hunter, N Ruiz
arXiv preprint arXiv:2308.07317, 2023
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
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
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
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
Ziplora: Any subject in any style by effectively merging loras
V Shah, N Ruiz, F Cole, E Lu, S Lazebnik, Y Li, V Jampani
arXiv preprint arXiv:2311.13600, 2023
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
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
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
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
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