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Yongheng Zhao
Yongheng Zhao
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Title
Cited by
Cited by
Year
3D point capsule networks
Y Zhao, T Birdal, H Deng, F Tombari
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3912019
Quaternion equivariant capsule networks for 3d point clouds
Y Zhao, T Birdal, JE Lenssen, E Menegatti, L Guibas, F Tombari
European conference on computer vision, 1-19, 2020
892020
Caspr: Learning canonical spatiotemporal point cloud representations
D Rempe, T Birdal, Y Zhao, Z Gojcic, S Sridhar, LJ Guibas
Advances in neural information processing systems 33, 13688-13701, 2020
722020
Fault condition recognition based on multi-scale texture features and embedding prior knowledge k-means for antimony flotation process
L Zhao, T Peng, L Zhao, P Xia, Y Zhao, Y Song
IFAC-PapersOnLine 48 (21), 864-870, 2015
172015
Froth stereo visual feature extraction for the industrial flotation process
L Zhao, T Peng, Y Xie, W Gui, Y Zhao
Industrial & Engineering Chemistry Research 58 (31), 14510-14519, 2019
152019
Robust multiple object tracking in RGB-D camera networks
Y Zhao, M Carraro, M Munaro, E Menegatti
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
132017
Features Extraction of Flotation Froth Based on Equivalent Binocular Stereo vision
L Zhao, T Peng, Y Zhao, P Xia, Y Xie
IFAC-PapersOnLine 49 (20), 90-95, 2016
62016
Ms3d: Mean-shift object tracking boosted by joint back projection of color and depth
Y Zhao, E Menegatti
Intelligent Autonomous Systems 15: Proceedings of the 15th International …, 2019
32019
3dpointcaps++: Learning 3d representations with capsule networks
Y Zhao, G Fang, Y Guo, L Guibas, F Tombari, T Birdal
International Journal of Computer Vision 130 (9), 2321-2336, 2022
22022
An improved K-means algorithm based recognition method for working condition of flotation process
Y Zhao, T Peng, K Li
International Journal of System Control and Information Processing 2 (No. 2 …, 2017
12017
Depth information method and system for monitoring liquid level and recognizing working condition of foam flotation
TAO PENG, Y ZHAO, LIN ZHAO, Y CAI, Y SONG, HUA HAN, LU ZHAO, ...
CN Patent 104,408,724, 2017
2017
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