Can Pu

According to our database, Can Pu authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model.

Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A general mobile manipulator automation framework for flexible tasks in controlled environments.

Can Pu, Chuanyu Yang, Jinnian Pu, Robert B. Fisher

Adv. Eng. Informatics, August, 2023

Learning Complex Motor Skills for Legged Robot Fall Recovery.

Chuanyu Yang, Can Pu, Guiyang Xin, Jie Zhang, Zhibin Li

IEEE Robotics Autom. Lett., July, 2023

Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.

Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard

IEEE Trans. Robotics, April, 2023

Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity.

Chuanyu Yang, Can Pu, Tianqi Wei, Cong Wang, Zhibin Li

CoRR, 2023

A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot.

Can Pu, Chuanyu Yang, Jinnian Pu, Radim Tylecek, Robert B. Fisher

CoRR, 2023

A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments.

Can Pu, Chuanyu Yang, Jinnian Pu, Robert B. Fisher

CoRR, 2023

2021

Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.

Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard

CoRR, 2021

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows.

Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019

3D data fusion by depth refinement and pose recovery.

Can Pu

PhD thesis, 2019

SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks.

Can Pu, Runzi Song, Radim Tylecek, Nanbo Li, Robert B. Fisher

Remote. Sens., 2019

UDFNET: Unsupervised Disparity Fusion with Adversarial Networks.

Can Pu, Robert B. Fisher

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks.

Can Pu, Runzi Song, Nanbo Li, Robert B. Fisher

CoRR, 2018

DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment.

Can Pu, Nanbo Li, Radim Tylecek, Bob Fisher

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models.

Can Pu, Nanbo Li, Robert B. Fisher

CoRR, 2017