Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container. - Nataniel Ruiz; James M. Rehg (CoRR, 2017)

Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment. - Eunji Chong; Katha Chanda; Zhefan Ye; Audrey Southerland; Nataniel Ruiz; Rebecca M. Jones; Agata Rozga; James M. Rehg (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Fine-Grained Head Pose Estimation Without Keypoints. - Nataniel Ruiz; Eunji Chong; James M. Rehg (CVPR Workshops, 2018)

Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. - Eunji Chong; Nataniel Ruiz; Yongxin Wang 002; Yun Zhang 015; Agata Rozga; James M. Rehg (ECCV (5), 2018)

Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. - Meera Hahn; Nataniel Ruiz; Jean-Baptiste Alayrac; Ivan Laptev; James M. Rehg (CoRR, 2018)

Learning To Simulate. - Nataniel Ruiz; Samuel Schulter; Manmohan Chandraker (ICLR (Poster), 2019)

Detecting Attended Visual Targets in Video. - Eunji Chong; Yongxin Wang 002; Nataniel Ruiz; James M. Rehg (CVPR, 2020)

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. - Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff (ECCV Workshops (4), 2020)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Mona Jalal; Vitaly Ablavsky; Danielle Allessio; John J. Magee; Jacob Whitehill; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; Margrit Betke (CoRR, 2020)

Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks. - Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff (CoRR, 2020)

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. - Nataniel Ruiz; Barry-John Theobald; Anurag Ranjan; Ahmed Hussen Abdelaziz; Nicholas Apostoloff (BMVC, 2021)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Thomas J. Murray 001; John J. Magee; Jacob Whitehill; Vitaly Ablavsky; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; et al. (FG, 2021)

Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition. - Benjamin Spetter-Goldstein; Nataniel Ruiz; Sarah Adel Bargal (CoRR, 2021)

Human Body Measurement Estimation with Adversarial Augmentation. - Nataniel Ruiz; Miriam Bellver; Timo Bolkart; Ambuj Arora; Ming C. Lin; Javier Romero 002; Raja Bala (3DV, 2022)

Simulated Adversarial Testing of Face Recognition Models. - Nataniel Ruiz; Adam Kortylewski; Weichao Qiu; Cihang Xie; Sarah Adel Bargal; Alan L. Yuille; Stan Sclaroff (CVPR, 2022)

Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. - Nataniel Ruiz; Sarah A. Bargal; Cihang Xie; Kate Saenko; Stan Sclaroff (NeurIPS, 2022)

Practical Disruption of Image Translation Deepfake Networks. - Nataniel Ruiz; Sarah Adel Bargal; Cihang Xie; Stan Sclaroff (AAAI, 2023)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Yael Pritch; Michael Rubinstein; Kfir Aberman (CVPR, 2023)

DreamBooth3D: Subject-Driven Text-to-3D Generation. - 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 (ICCV, 2023)

Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Wenhu Chen; Hexiang Hu; Yandong Li; Nataniel Ruiz; Xuhui Jia; Ming-Wei Chang; William W. Cohen (NeurIPS, 2023)

StyleDrop: Text-to-Image Synthesis of Any Style. - Kihyuk Sohn; Lu Jiang 004; Jarred Barber; Kimin Lee; Nataniel Ruiz; Dilip Krishnan; Huiwen Chang; Yuanzhen Li; Irfan Essa; Michael Rubinstein; Yuan Hao; Glenn Entis; et al. (NeurIPS, 2023)

StyleDrop: Text-to-Image Generation in Any Style. - Kihyuk Sohn; Nataniel Ruiz; Kimin Lee; Daniel Castro Chin; Irina Blok; Huiwen Chang; Jarred Barber; Lu Jiang 004; Glenn Entis; Yuanzhen Li; Yuan Hao; Irfan Essa; et al. (CoRR, 2023)

Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. - Ariel N. Lee; Sarah Adel Bargal; Janavi Kasera; Stan Sclaroff; Kate Saenko; Nataniel Ruiz (CoRR, 2023)

Platypus: Quick, Cheap, and Powerful Refinement of LLMs. - Ariel N. Lee; Cole J. Hunter; Nataniel Ruiz (CoRR, 2023)

ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Tom Murray 001; John J. Magee; Kevin Delgado; Vitaly Ablavsky; Stan Sclaroff; Ivon Arroyo; Beverly P. Woolf; et al. (IEEE Trans. Biom. Behav. Identity Sci., 2023)

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Wei Wei; Tingbo Hou; Yael Pritch; Neal Wadhwa; Michael Rubinstein; Kfir Aberman (CVPR, 2024)

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. - Viraj Shah; Nataniel Ruiz; Forrester Cole; Erika Lu; Svetlana Lazebnik; Yuanzhen Li; Varun Jampani (ECCV (1), 2024)

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CoRR, 2024)

Magic Insert: Style-Aware Drag-and-Drop. - Nataniel Ruiz; Yuanzhen Li; Neal Wadhwa; Yael Pritch; Michael Rubinstein; David E. Jacobs; Shlomi Fruchter (CoRR, 2024)

M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation. - Sucheng Ren; Yaodong Yu; Nataniel Ruiz; Feng Wang 047; Alan L. Yuille; Cihang Xie (CoRR, 2024)

RealFill: Reference-Driven Generation for Authentic Image Completion. - Luming Tang; Nataniel Ruiz; Qinghao Chu; Yuanzhen Li; Aleksander Holynski; David E. Jacobs; Bharath Hariharan; Yael Pritch; Neal Wadhwa; Kfir Aberman; Michael Rubinstein (ACM Trans. Graph., 2024)

D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition. - Rupayan Mallick; Sibo Dong; Nataniel Ruiz; Sarah Adel Bargal (CVPR Workshops, 2025)

ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning. - David Junhao Zhang; Roni Paiss; Shiran Zada; Nikhil Karnad; David E. Jacobs; Yael Pritch; Inbar Mosseri; Mike Zheng Shou; Neal Wadhwa; Nataniel Ruiz (CVPR, 2025)

Unbounded: A Generative Infinite Game of Character Life Simulation. - Jialu Li; Yuanzhen Li; Neal Wadhwa; Yael Pritch; David E. Jacobs; Michael Rubinstein; Mohit Bansal; Nataniel Ruiz (ICLR, 2025)

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

RB-Modulation: Training-Free Stylization using Reference-Based Modulation. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

Complex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark. - Siwei Yang; Mude Hui; Bingchen Zhao; Yuyin Zhou; Nataniel Ruiz; Cihang Xie (CoRR, 2025)

Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models. - Luca Eyring; Shyamgopal Karthik; Alexey Dosovitskiy; Nataniel Ruiz; Zeynep Akata (CoRR, 2025)