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ORCIDNataniel Ruiz
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2020 – today
- 2024
[j3]Luming Tang
, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein:
RealFill: Reference-Driven Generation for Authentic Image Completion. ACM Trans. Graph. 43(4): 135:1-135:12 (2024)- [c17]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman:
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. CVPR 2024: 6527-6536 - [c16]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. ECCV (1) 2024: 422-438 - [i26]Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR abs/2405.17401 (2024) - [i25]Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter:
Magic Insert: Style-Aware Drag-and-Drop. CoRR abs/2407.02489 (2024) - 2023
- [j2]Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke:
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 411-424 (2023) - [c15]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff:
Practical Disruption of Image Translation Deepfake Networks. AAAI 2023: 14478-14486 - [c14]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CVPR 2023: 22500-22510 - [c13]Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV 2023: 2349-2359 - [c12]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS 2023 - [c11]Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin:
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS 2023 - [i24]Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR abs/2303.13508 (2023) - [i23]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR abs/2304.00186 (2023) - [i22]Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan:
StyleDrop: Text-to-Image Generation in Any Style. CoRR abs/2306.00983 (2023) - [i21]Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz:
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. CoRR abs/2306.17848 (2023) - [i20]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman:
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. CoRR abs/2307.06949 (2023) - [i19]Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz:
Platypus: Quick, Cheap, and Powerful Refinement of LLMs. CoRR abs/2308.07317 (2023) - [i18]Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein:
RealFill: Reference-Driven Generation for Authentic Image Completion. CoRR abs/2309.16668 (2023) - [i17]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR abs/2311.13600 (2023) - 2022
- [c10]Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala:
Human Body Measurement Estimation with Adversarial Augmentation. 3DV 2022: 219-230 - [c9]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CVPR 2022: 4135-4145 - [c8]Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS 2022 - [i16]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CoRR abs/2208.12242 (2022) - [i15]Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala:
Human Body Measurement Estimation with Adversarial Augmentation. CoRR abs/2210.05667 (2022) - [i14]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR abs/2211.16499 (2022) - 2021
- [c7]Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussen Abdelaziz, Nicholas Apostoloff:
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. BMVC 2021: 348 - [c6]Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. FG 2021: 1-8 - [i13]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CoRR abs/2106.04569 (2021) - [i12]Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal:
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition. CoRR abs/2107.09126 (2021) - 2020
- [c5]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CVPR 2020: 5395-5405 - [c4]Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. ECCV Workshops (4) 2020: 236-251 - [i11]Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. CoRR abs/2002.05242 (2020) - [i10]Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. CoRR abs/2003.01279 (2020) - [i9]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CoRR abs/2003.02501 (2020) - [i8]Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks. CoRR abs/2006.06493 (2020) - [i7]Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussen Abdelaziz, Nicholas Apostoloff:
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. CoRR abs/2012.05225 (2020)
2010 – 2019
- 2019
- [c3]Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. ICLR (Poster) 2019 - [i6]Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and its Use in Child Assessment. CoRR abs/1902.00607 (2019) - 2018
- [c2]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CVPR Workshops 2018: 2074-2083 - [c1]Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. ECCV (5) 2018: 397-412 - [i5]Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. CoRR abs/1807.10437 (2018) - [i4]Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg:
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. CoRR abs/1809.08381 (2018) - [i3]Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. CoRR abs/1810.02513 (2018) - 2017
- [j1]Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 43:1-43:20 (2017) - [i2]Nataniel Ruiz, James M. Rehg:
Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container. CoRR abs/1708.04370 (2017) - [i1]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CoRR abs/1710.00925 (2017)
Coauthor Index
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last updated on 2024-10-11 17:32 CEST by the dblp team
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