Dan Wang

I am Dan (Alaina) Wang, a PhD candidate in Department of Electrical and Computer Engineering at the University of British Columbia supervised by Prof. Z. Jane Wang and Prof. Tim Salcudean. My research interests are 3D reconstruction, novel view synthesis, and explainable AI.

Prior to UBC, I received my master’s degree and bachelor’s degree at Beihang university. During my master period, I worked on image segmentation and sparse representation under the supervision of Prof. Zhenwei Shi.

selected publications [view all]

Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer

Dan Wang, Xinrui Cui, Septimiu Salcudean, and Z. Jane Wang

2022

Bib HTML

  doi = {10.48550/ARXIV.2206.05375},
  author = {Wang, Dan and Cui, Xinrui and Salcudean, Septimiu and Wang, Z. Jane},
  title = {Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license},
}

Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference

Dan Wang, Xinrui Cui, Xun Chen, Rabab Ward, and Z. Jane Wang

IEEE Transactions on Image Processing 2021

Bib HTML

@article{9491931,
  author = {Wang, Dan and Cui, Xinrui and Chen, Xun and Ward, Rabab and Wang, Z. Jane},
  journal = {IEEE Transactions on Image Processing},
  title = {Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference},
  year = {2021},
  volume = {30},
  number = {},
  pages = {6701-6714},
  doi = {10.1109/TIP.2021.3097187},
}

Multi-View 3D Reconstruction With Transformers

Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, and 3 more authors

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Oct 2021

Bib HTML

@inproceedings{Wang_2021_ICCV,
  author = {Wang, Dan and Cui, Xinrui and Chen, Xun and Zou, Zhengxia and Shi, Tianyang and Salcudean, Septimiu and Wang, Z. Jane and Ward, Rabab},
  title = {Multi-View 3D Reconstruction With Transformers},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  month = oct,
  year = {2021},
  pages = {5722-5731},
}

Feature-Flow Interpretation of Deep Convolutional Neural Networks

Xinrui Cui, Dan Wang, and Z. Jane Wang

IEEE Transactions on Multimedia Oct 2020

Bib HTML

@article{9019647,
  author = {Cui, Xinrui and Wang, Dan and Wang, Z. Jane},
  journal = {IEEE Transactions on Multimedia},
  title = {Feature-Flow Interpretation of Deep Convolutional Neural Networks},
  year = {2020},
  volume = {22},
  number = {7},
  pages = {1847-1861},
  doi = {10.1109/TMM.2020.2976985},
}

CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks

Xinrui Cui*, Dan Wang*, and Z. Jane Wang

IEEE Transactions on Neural Networks and Learning Systems Oct 2020

Bib HTML

@article{8924894,
  author = {Cui*, Xinrui and Wang*, Dan and Wang, Z. Jane},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  title = {CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks},
  year = {2020},
  volume = {31},
  number = {10},
  pages = {4143-4156},
  doi = {10.1109/TNNLS.2019.2952322},
}

Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation

Xinrui Cui, Dan Wang, and Z. Jane Wang

IEEE Transactions on Multimedia Oct 2019

Bib HTML

@article{8653995,
  author = {Cui, Xinrui and Wang, Dan and Wang, Z. Jane},
  journal = {IEEE Transactions on Multimedia},
  title = {Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation},
  year = {2019},
  volume = {21},
  number = {9},
  pages = {2263-2276},
  doi = {10.1109/TMM.2019.2902099},
}

Robust Sparse Unmixing for Hyperspectral Imagery

Dan Wang, Zhenwei Shi, and Xinrui Cui

IEEE Transactions on Geoscience and Remote Sensing Oct 2018

Bib HTML

@article{8082740,
  author = {Wang, Dan and Shi, Zhenwei and Cui, Xinrui},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  title = {Robust Sparse Unmixing for Hyperspectral Imagery},
  year = {2018},
  volume = {56},
  number = {3},
  pages = {1348-1359},
  doi = {10.1109/TGRS.2017.2761912},
}