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Yin Zhou
Yin Zhou
Waymo
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Title
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Cited by
Year
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Y Zhou, O Tuzel
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
36912018
Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
21872020
End-to-end multi-view fusion for 3d object detection in lidar point clouds
Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ...
Conference on Robot Learning, 923-932, 2020
3562020
Mvx-net: Multimodal voxelnet for 3d object detection
VA Sindagi, Y Zhou, O Tuzel
2019 International Conference on Robotics and Automation (ICRA), 7276-7282, 2019
3562019
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
3332021
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
1402021
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
1352021
Classification of histology sections via multispectral convolutional sparse coding
Y Zhou, H Chang, K Barner, P Spellman, B Parvin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1262014
Starnet: Targeted computation for object detection in point clouds
J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ...
arXiv preprint arXiv:1908.11069, 2019
1082019
Surfelgan: Synthesizing realistic sensor data for autonomous driving
Z Yang, Y Chai, D Anguelov, Y Zhou, P Sun, D Erhan, S Rafferty, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
882020
3d-man: 3d multi-frame attention network for object detection
Z Yang, Y Zhou, Z Chen, J Ngiam
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
812021
Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors
C Deng, C Jiang, CR Qi, X Yan, Y Zhou, L Guibas, D Anguelov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
612023
Stacked predictive sparse decomposition for classification of histology sections
H Chang, Y Zhou, A Borowsky, K Barner, P Spellman, B Parvin
International journal of computer vision 113, 3-18, 2015
582015
View: Visual information extraction widget for improving chart images accessibility
J Gao, Y Zhou, KE Barner
2012 19th IEEE international conference on image processing, 2865-2868, 2012
502012
Locality constrained dictionary learning for nonlinear dimensionality reduction
Y Zhou, KE Barner
IEEE Signal Processing Letters 20 (4), 335-338, 2013
462013
Less: Label-efficient semantic segmentation for lidar point clouds
M Liu, Y Zhou, CR Qi, B Gong, H Su, D Anguelov
European Conference on Computer Vision, 70-89, 2022
362022
Kernel-based sparse representation for gesture recognition
Y Zhou, K Liu, RE Carrillo, KE Barner, F Kiamilev
Pattern Recognition 46 (12), 3208-3222, 2013
342013
Stacked predictive sparse coding for classification of distinct regions in tumor histopathology
H Chang, Y Zhou, P Spellman, B Parvin
Proceedings of the IEEE international conference on computer vision, 169-176, 2013
322013
Nuclei Segmentation via Sparsity Constrained Convolutional Regression
BP Yin Zhou, Hang Chang, Kenneth. E. Barner
IEEE International Symposium on Biomedical Imaging (ISBI), 2015
292015
Nuclei Segmentation via Sparsity Constrained Convolutional Regression
Yin Zhou , Hang Chang , Kenneth E. Barner, Bahram Parvin
IEEE International Symposium on Biomedical Imaging (ISBI 2015), 0
29*
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