Research Statement
Recent Publications
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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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