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Charles Ruizhongtai Qi
Charles Ruizhongtai Qi
Research Scientist, Waymo
Bestätigte E-Mail-Adresse bei waymo.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
133812017
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 30, 2017
93462017
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
23652018
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
20722019
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
17732016
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
10522019
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
8812015
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
6332017
FlowNet3D: Learning Scene Flow in 3D Point Clouds
X Liu, CR Qi, LJ Guibas
arXiv preprint arXiv:1806.01411, 2019
4412019
Pointcontrast: Unsupervised pre-training for 3d point cloud understanding
S Xie, J Gu, D Guo, CR Qi, L Guibas, O Litany
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
4232020
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
3322016
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, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2882021
Generating 3d adversarial point clouds
C Xiang, CR Qi, B Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2642019
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
2592020
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
2092015
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
1312021
Pointnet++: Deep hierarchical feature learning on point sets in a metric space. arXiv 2017
CR Qi, L Yi, H Su, LJ Guibas
arXiv preprint arXiv:1706.02413, 0
125
Spg: Unsupervised domain adaptation for 3d object detection via semantic point generation
Q Xu, Y Zhou, W Wang, CR Qi, D Anguelov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1232021
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks.
Z Jia, S Lin, CR Qi, A Aiken
ICML, 2279-2288, 2018
1182018
Pointnet: Deep learning on point sets for 3d classification and segmentation. arXiv 2016
CR Qi, H Su, K Mo, LJ Guibas
arXiv preprint arXiv:1612.00593, 0
51
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