YUXUAN ZHANG
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I am a CS Ph.D. student at Princeton University, where I feel fortunate to be advised by professor Felix Heide. My research interests are broadly in machine learning and computer vision.


​Before joining Princeton, I worked at the NVIDIA AI lab as a deep learning researcher. During my time at NVIDIA, I feel so lucky to be mentored by professors Sanja Fidler and Antonio Torralba, who gave me so much guidance and support and showed me how to conduct great research. I also once worked as an undergraduate research assistant at the University of Waterloo, supervised by professor Florian Kerschbaum.
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Publication

1. DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

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  • Yuxuan Zhang*, Huan ling*, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler
  • Accepted to Conference on Computer Vision and Pattern Recognition (CVPR) 2021, Oral Presentation
  • ​​arXiv: 2104.06490  |  Project Page  |  Code

2. Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering

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  • Yuxuan Zhang*, Wenzheng Chen*, Huan ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler.
  • Accepted to International Conference on Learning Representations (ICLR) 2021, Oral Presentation
  • ​​​​arXiv: 2010.09125  |  Project Page  |  Released Omniverse Toolkit​​

3. All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
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  • Yuxuan Zhang , Bo Dong, Felix Heide
  • Accepted to European Conference on Computer Vision (ECCV) 2022, Poster Presentation
  • arXiv: 2112.09219  |  ​Project Page  |  Code

4. The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
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  • Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Cecilia Zhang, Jiawen Chen, Felix Heide
  • Accepted to Conference on Computer Vision and Pattern Recognition (CVPR) 2022, Oral Presentation
  • ​​arXiv: 2111.13738  |  Project Page  |  Code​

5. Neural Photo-Finishing
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  • Ethan Tseng, Yuxuan Zhang, Lars Jebe, Cecilia Zhang, Zhihao Xia, Yifei Fan, Felix Heide, Jiawen Chen
  • Accepted to Siggraph Asia 2022, Journal Track
  • Paper | Project Page

6. Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

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  • Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
  • Accepted to International Conference on Learning Representations (ICLR) 2021, Spotlight Presentation
  • arXiv: 1912.00888

7. Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography
  • Ilya Chugunov, Yuxuan Zhang,  Felix Heide
  • ​​arXiv: 2112.12324  |  Project Page  |  Code
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