Nataniel Ruiz
Nataniel Ruiz
PhD Student, Boston University
Verified email at - Homepage
Cited by
Cited by
Fine-Grained Head Pose Estimation Without Keypoints
N Ruiz, E Chong, JM Rehg
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
N Ruiz, Y Li, V Jampani, Y Pritch, M Rubinstein, K Aberman
arXiv preprint arXiv:2208.12242, 2022
Learning to Simulate
N Ruiz, S Schulter, M Chandraker
International Conference on Learning Representations (ICLR) 2019, 2018
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
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
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
Detecting Attended Visual Targets in Video
E Chong, Y Wang, N Ruiz, JM Rehg
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020
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
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
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
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
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
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
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
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
Learning to simulate
S Schulter, N Ruiz, M Chandraker
US Patent 11,518,382, 2022
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
Human body measurement estimation with adversarial augmentation
N Ruiz, M Bellver, T Bolkart, A Arora, MC Lin, J Romero, R Bala
International Conference on 3D Vision (3DV) 2022, 2022
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition
B Spetter-Goldstein, N Ruiz, SA Bargal
ICML 2021 Adversarial Machine Learning Workshop, 2021
Face Image Generation With Pose And Expression Control
T Barry-John, N Ruiz Gutierrez, NE Apostoloff
US Patent App. 20,210/097,730, 2021
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