Charles Ruizhongtai Qi

rqi@stanford.edu
personal page

Research interests

  • Computer Vision
  • Machine Learning and Deep Learning

Recent publications

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.   
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.   
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.   
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)   
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.   
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).   
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.