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Nataniel Ruiz

Subject-driven Text-to-Image Generation via Apprenticeship Learning

Apr 14, 2023
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

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* Work in Progress

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DreamBooth3D: Subject-Driven Text-to-3D Generation

Mar 27, 2023
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, Yuanzhen Li, Varun Jampani

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* Project page at https://dreambooth3d.github.io/ Video Summary at https://youtu.be/kKVDrbfvOoA

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Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing

Nov 29, 2022
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff

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* Published at the Conference on Neural Information Processing Systems (NeurIPS) 2022

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Human Body Measurement Estimation with Adversarial Augmentation

Oct 11, 2022
Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala

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* Published at the International Conference on 3D Vision (3DV) 2022

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Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition

Jul 19, 2021
Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal

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* 5 pages, 5 figures, submitted to AdvML @ ICML 2021

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Detecting Attended Visual Targets in Video

Mar 30, 2020
Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg

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* Accepted to CVPR 2020

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