| 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 | 2164 | 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 | 676 | 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 | 176 | 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 | 149 | 2018 |
| Learning to Simulate N Ruiz, S Schulter, M Chandraker International Conference on Learning Representations (ICLR) 2019, 2018 | 147 | 2018 |
| Subject-driven text-to-image generation via apprenticeship learning W Chen, H Hu, Y Li, N Ruiz, X Jia, MW Chang, WW Cohen Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 143 | 2023 |
| Detecting Attended Visual Targets in Video E Chong, Y Wang, N Ruiz, JM Rehg Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020 | 137 | 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 | 130 | 2020 |
| 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 | 124 | 2024 |
| 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 | 103* | 2023 |
| Platypus: Quick, cheap, and powerful refinement of llms AN Lee, CJ Hunter, N Ruiz arXiv preprint arXiv:2308.07317, 2023 | 93 | 2023 |
| 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 | 80 | 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 ECCV 2024, 2023 | 49 | 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, ... SIGGRAPH 2024, 2023 | 29 | 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 | 15 | 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 | 13 | 2017 |
| 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 | 12 | 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 | 11 | 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 5 (3), 411-424, 2022 | 10 | 2022 |
| Practical disruption of image translation deepfake networks N Ruiz, SA Bargal, C Xie, S Sclaroff Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14478 …, 2023 | 9 | 2023 |
Yuanzhen LiGoogleEmail verificata su csail.mit.edu