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Nataniel Ruiz
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2020 – today
- 2024
- [j3]Luming Tang
, Nataniel Ruiz
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
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
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
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
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
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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