cianhwang.github.io

Qian Huang, Ph.D.

Computer Vision and Deep Learning Engineer NVIDIA, Santa Clara, CA qian.huang140~AT~duke~DOT~edu cv

I am a Software Engineer on the Computer Vision and Deep Learning track at NVIDIA. My research focuses on computational imaging, computer vision, and deep learning.

I received my Ph.D. degree in electrical and computer engineering from Duke University in 2022, advised by Dr. David J. Brady. I received my B.S. degree in electronic information science and technology from Nanjing University in 2018.

Publications

Google Scholar

• Scatter Ptychography arXiv code

  Qian Huang, Zhipeng Dong, Yuzuru Takashima, Timothy J Schulz, David J Brady

  Tech report, 2022

• Array Camera Image Fusion using Physics-Aware Transformers preprint code

  Qian Huang, Minghao Hu, David J Brady

  Journal of Information Systems and Telecommunication (JIST), 2022

• Deep learning for camera autofocus paper code

  Chengyu Wang, Qian Huang, Ming Cheng, Zhan Ma, David J Brady

  IEEE Transactions on Computational Imaging (TCI), 2021

• Multispectral image intrinsic decomposition via subspace constraint paper code

  Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao

  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

• Multispectral Focal Stack Acquisition Using A Chromatic Aberration Enlarged Camera paper code

  Qian Huang, Yunqian Li, Linsen Chen, Xiaoming Zhong, Jinli Suo, Zhan Ma, Tao Yue, Xun Cao

  Proceedings of IEEE International Conference on Image Processing (ICIP), 2017

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