| Fine-Grained Head Pose Estimation Without Keypoints N Ruiz, E Chong, JM Rehg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 437 | 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 | 103 | 2022 |
| Learning to Simulate N Ruiz, S Schulter, M Chandraker International Conference on Learning Representations (ICLR) 2019, 2018 | 102 | 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 | 83 | 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 | 63 | 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 | 55 | 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 | 52 | 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 | 12 | 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 | 10 | 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 | 9 | 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 | 7 | 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 | 5 | 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 | 2 | 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 | 2 | 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 | | 2023 |
| Learning to simulate S Schulter, N Ruiz, M Chandraker US Patent 11,518,382, 2022 | | 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 | | 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 | | 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 | | 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 | | 2021 |
James M. RehgProfessor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
