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
56052017
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
CR Qi, L Yi, H Su, LJ Guibas
arXiv preprint arXiv:1706.02413, 2017
35772017
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
12132016
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
12022018
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
6802015
Kpconv: Flexible and deformable convolution for point clouds
H Thomas, CR Qi, JE Deschaud, B Marcotegui, F Goulette, LJ Guibas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
5342019
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
3532017
Deep hough voting for 3d object detection in point clouds
CR Qi, O Litany, K He, LJ Guibas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3242019
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
2412016
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
1702015
FlowNet3D: Learning Scene Flow in 3D Point Clouds
X Liu, CR Qi, LJ Guibas
arXiv preprint arXiv:1806.01411, 2019
1642019
Generating 3d adversarial point clouds
C Xiang, CR Qi, B Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
862019
Exploring hidden dimensions in parallelizing convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
arXiv preprint arXiv:1802.04924, 2018
672018
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
642020
Pointcontrast: Unsupervised pre-training for 3d point cloud understanding
S Xie, J Gu, D Guo, CR Qi, L Guibas, O Litany
European Conference on Computer Vision, 574-591, 2020
632020
Exploring hidden dimensions in accelerating convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
International Conference on Machine Learning, 2274-2283, 2018
192018
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
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
arXiv preprint arXiv:2104.10133, 2021
72021
Offboard 3D Object Detection from Point Cloud Sequences
CR Qi, Y Zhou, M Najibi, P Sun, K Vo, B Deng, D Anguelov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
72021
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/CVF International Conference on Computer Vision …, 2019
32019
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