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Can Pu
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2020 – today
- 2024
- [c4]Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx:
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. CVPR 2024: 19027-19037 - [i10]Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx:
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. CoRR abs/2405.02608 (2024) - 2023
- [j4]Can Pu, Chuanyu Yang, Jinnian Pu, Robert B. Fisher:
A general mobile manipulator automation framework for flexible tasks in controlled environments. Adv. Eng. Informatics 57: 102062 (2023) - [j3]Chuanyu Yang, Can Pu, Guiyang Xin, Jie Zhang, Zhibin Li:
Learning Complex Motor Skills for Legged Robot Fall Recovery. IEEE Robotics Autom. Lett. 8(7): 4307-4314 (2023) - [j2]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics 39(2): 1458-1475 (2023) - [i9]Can Pu, Chuanyu Yang, Jinnian Pu, Robert B. Fisher:
A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments. CoRR abs/2302.04486 (2023) - [i8]Can Pu, Chuanyu Yang, Jinnian Pu, Radim Tylecek, Robert B. Fisher:
A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot. CoRR abs/2305.06278 (2023) - [i7]Chuanyu Yang, Can Pu, Tianqi Wei, Cong Wang, Zhibin Li:
Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity. CoRR abs/2305.07300 (2023) - 2021
- [c3]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA 2021: 1095-1102 - [i6]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR abs/2105.05045 (2021) - [i5]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR abs/2110.00876 (2021)
2010 – 2019
- 2019
- [b1]Can Pu:
3D data fusion by depth refinement and pose recovery. University of Edinburgh, UK, 2019 - [j1]Can Pu, Runzi Song, Radim Tylecek, Nanbo Li, Robert B. Fisher:
SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks. Remote. Sens. 11(5): 487 (2019) - [c2]Can Pu, Robert B. Fisher:
UDFNET: Unsupervised Disparity Fusion with Adversarial Networks. ICIP 2019: 1765-1769 - [i4]Can Pu, Robert B. Fisher:
UDFNet: Unsupervised Disparity Fusion with Adversarial Networks. CoRR abs/1904.10044 (2019) - 2018
- [c1]Can Pu, Nanbo Li, Radim Tylecek, Bob Fisher:
DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment. 3DV 2018: 766-774 - [i3]Can Pu, Runzi Song, Nanbo Li, Robert B. Fisher:
Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks. CoRR abs/1803.06657 (2018) - [i2]Can Pu, Nanbo Li, Radim Tylecek, Robert B. Fisher:
DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment. CoRR abs/1803.07426 (2018) - 2017
- [i1]Can Pu, Nanbo Li, Robert B. Fisher:
Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models. CoRR abs/1707.08626 (2017)
Coauthor Index
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