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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