Charles Ruizhongtai Qi

Recent Alum

Email: rqi@stanford.edu
Website: http://www.charlesrqi.com

Research Statement

  • Computer Vision
  • Machine Learning and Deep Learning

Recent Publications

Teaser Image
X. Liu, C.R. Qi, L.J. Guibas, Learning Scene Flow in 3D Point Clouds, CVPR, 2019.
@article{lqg-flsfi3pc-19,
      title={FlowNet3D: Learning Scene Flow in 3D Point Clouds},
      author={Liu, Xingyu and Qi, Charles R and Guibas, Leonidas J},
      journal={CVPR},
      year={2019}
}
Teaser Image
C.R. Qi, W. Liu, C. Wu, H. Su, L.J. Guibas, Frustum PointNets for 3D Object Detection From RGB-D Data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
@article{qlwsg-fpf3obfrd-18,
  title={Frustum PointNets for 3D Object Detection from RGB-D Data},
  author={Charles Ruizhongtai Qi and Wei Liu and Chenxia Wu and Hao Su and Leonidas J. Guibas},
  journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2018}
}
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Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. Neural Information Processing Systems (NIPS) 2017.
@article{qysg-pdhflpsms-17,
  title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space},
  author={Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J},
  journal={Neural Information Processing System (NIPS) 2017},
  year={2017}
}
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Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu USA.
@article{qsmg-pdlps3dcs-17,
  title={PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation},
  author={Qi, Charles R and Su, Hao and Mo, Kaichun and Guibas, Leonidas J},
  journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year={2017}
}
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Angela Dai, Charles R. Qi, Matthias Niessner, Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu USA.
@article{dqn-sc3depcss-17,
  title={Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis},
  author={Dai, Angela and Qi, Charles Ruizhongtai and Nie{ss}ner, Matthias},
  journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year={2017}
}
Teaser Image
Y. Li, S. Pirk, H. Su, C. R. Qi, L. J. Guibas, FPNN: Field Probing Neural Networks for 3D Data, Neural Information Processing Systems (NIPS 2016)
@article{DBLP:journals/corr/LiPSQG16,
  author    = {Yangyan Li and
               S{"{o}}ren Pirk and
               Hao Su and
               Charles Ruizhongtai Qi and
               Leonidas J. Guibas},
  title     = {{FPNN:} Field Probing Neural Networks for 3D Data},
  journal   = {CoRR},
  volume    = {abs/1605.06240},
  year      = {2016},
  url       = {http://arxiv.org/abs/1605.06240},
  timestamp = {Wed, 01 Jun 2016 15:51:07 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/LiPSQG16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}
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Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas, Volumetric and Multi-View CNNs for Object Classification on 3D Data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas USA.
@inproceedings{qsndyg-vmcoc3d-16,
  author = {Charles Ruizhongtai Qi and Hao Su and Matthias Nie{ss}ner and 
    Angela Dai and Mengyuan Yan and Leonidas Guibas},
  title = {Volumetric and Multi-View CNNs for Object Classification on 3D Data},
  booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year = {2016}
}
Teaser Image
Yangyan Li, Hao Su, Charles R. Qi, Noa Fish, Daniel Cohen-Or, and Leonidas J. Guibas, Joint Embeddings of Shapes and Images via CNN Image Purification, Transactions on Graphics (Special issue of SIGGRAPH Asia 2015).
@article{lsqfcg-jesicip-15,
    Author = {Li, Yangyan and Su, Hao and Qi, Charles Ruizhongtai and Fish, Noa
        and Cohen-Or, Daniel and Guibas, Leonidas J.},
    Title = {Joint Embeddings of Shapes and Images via CNN Image Purification},
    Journal = {ACM Trans. Graph.},
    Year = {2015}
}
Teaser Image
Hao Su, Charles R. Qi, Yangyan Li and Leonidas J. Guibas, Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views, The 15th International Conference on Computer Vision (ICCV), Santiago, Chile, November 2015.
@InProceedings{sqlg-rfc-15,
    Title={Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views},
    Author={Su, Hao and Qi, Charles R. and Li, Yangyan and Guibas, Leonidas J.},
    Booktitle={The IEEE International Conference on Computer Vision (ICCV)},
    month = {December},
    Year= {2015}
}
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