Charles Ruizhongtai Qi
Charles Ruizhongtai Qi
Research Scientist, Waymo
Verified email at waymo.com - Homepage
Title
Cited by
Cited by
Year
Pointnet: Deep learning on point sets for 3d classification and segmentation
CR Qi, H Su, K Mo, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
27362017
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
CR Qi, L Yi, H Su, LJ Guibas
Advances in neural information processing systems, 5099-5108, 2017
16332017
Volumetric and multi-view cnns for object classification on 3d data
CR Qi, H Su, M Nießner, A Dai, M Yan, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7962016
Frustum pointnets for 3d object detection from rgb-d data
CR Qi, W Liu, C Wu, H Su, LJ Guibas
Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, 2018
5902018
Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
H Su, CR Qi, Y Li, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision, 2686-2694, 2015
5352015
Shape completion using 3d-encoder-predictor cnns and shape synthesis
A Dai, C Ruizhongtai Qi, M Nießner
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1962017
Fpnn: Field probing neural networks for 3d data
Y Li, S Pirk, H Su, CR Qi, LJ Guibas
Advances in Neural Information Processing Systems, 307-315, 2016
1632016
Joint embeddings of shapes and images via cnn image purification
Y Li, H Su, CR Qi, N Fish, D Cohen-Or, LJ Guibas
ACM transactions on graphics (TOG) 34 (6), 1-12, 2015
1302015
Kpconv: Flexible and deformable convolution for point clouds
H Thomas, CR Qi, JE Deschaud, B Marcotegui, F Goulette, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision, 6411-6420, 2019
1052019
Deep hough voting for 3d object detection in point clouds
CR Qi, O Litany, K He, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision, 9277-9286, 2019
822019
FlowNet3D: Learning Scene Flow in 3D Point Clouds
X Liu, CR Qi, LJ Guibas
arXiv preprint arXiv:1806.01411, 2019
532019
Generating 3d adversarial point clouds
C Xiang, CR Qi, B Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
292019
Exploring hidden dimensions in parallelizing convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
arXiv preprint arXiv:1802.04924, 2018
292018
Teaching digital signal processing with Stanford's Lab-in-a-Box
FA Mujica, WJ Esposito, A Gonzalez, CR Qi, C Vassos, M Wieman, ...
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE …, 2015
102015
Imvotenet: Boosting 3d object detection in point clouds with image votes
CR Qi, X Chen, O Litany, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Order-Aware Generative Modeling Using the 3D-Craft Dataset
Z Chen, D Guo, T Xiao, S Xie, X Chen, H Yu, J Gray, K Srinet, H Fan, J Ma, ...
Proceedings of the IEEE International Conference on Computer Vision, 1764-1773, 2019
12019
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
S Xie, J Gu, D Guo, CR Qi, LJ Guibas, O Litany
arXiv preprint arXiv:2007.10985, 2020
2020
Object-Centric Multi-View Aggregation
S Tulsiani, O Litany, C Qi, L Guibas
arXiv preprint arXiv:2007.10300, 2020
2020
CS224N Final Project Neural Network Joint Language Model: An Investigation and An Extension with Global Source Context
Y Zhang, CR Qi
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Articles 1–19