E-LIB Suche - Ergebnisse für: Pu, Can

1

A multi-modal garden dataset and hybrid 3D dense reconstruc..:

Pu, Can ; Yang, Chuanyu ; Pu, Jinnian..
ISPRS Journal of Photogrammetry and Remote Sensing. 202 (2023) - p. 262-286 , 2023

Link: https://doi.org/10.1016/..

2

Learning Complex Motor Skills for Legged Robot Fall Recover:

Yang, Chuanyu ; Pu, Can ; Xin, Guiyang..
IEEE Robotics and Automation Letters. 8 (2023) 7 - p. 4307-4314 , 2023

Link: https://doi.org/10.1109/..

3

A general mobile manipulator automation framework for flexi..:

Pu, Can ; Yang, Chuanyu ; Pu, Jinnian.
Advanced Engineering Informatics. 57 (2023) - p. 102062 , 2023

Link: https://doi.org/10.1016/..

4

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

, In: 2021 IEEE International Conference on Robotics and Automation (ICRA),

Huang, Qiangqiang ; Pu, Can ; Fourie, Dehann... - p. 1095-1102 , 2021

Link: https://doi.org/10.1109/..

5

UDFNET: Unsupervised Disparity Fusion with Adversarial Netw..:

, In: 2019 IEEE International Conference on Image Processing (ICIP),

Pu, Can ; Fisher, Robert B. - p. 1765-1769 , 2019

Link: https://doi.org/10.1109/..

6

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

Pu, Can ; Song, Runzi ; Tylecek, Radim..
Remote Sensing. 11 (2019) 5 - p. 487 , 2019

Link: https://doi.org/10.3390/..

7

Mathematical and Numerical Validation of the Simplified Sph..:

Pu, Can ; McClarren, Ryan G.
Journal of Computational and Theoretical Transport. 46 (2017) 5 - p. 366-378 , 2017

Link: https://doi.org/10.1080/..

8

A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruc..:

Pu, Can ; Yang, Chuanyu ; Pu, Jinnian..
http://arxiv.org/abs/2305.06278. , 2023

Link: http://arxiv.org/abs/230..

9

A General Mobile Manipulator Automation Framework for Flexi..:

Pu, Can ; Yang, Chuanyu ; Pu, Jinnian.
http://arxiv.org/abs/2302.04486. , 2023

Link: http://arxiv.org/abs/230..

10

Learning Quadruped Locomotion using Bio-Inspired Neural Net..:

Yang, Chuanyu ; Pu, Can ; Wei, Tianqi..
http://arxiv.org/abs/2305.07300. , 2023

Link: http://arxiv.org/abs/230..

11

Incremental Non-Gaussian Inference for SLAM Using Normalizi..:

Huang, Qiangqiang ; Pu, Can ; Khosoussi, Kasra...
http://arxiv.org/abs/2110.00876. , 2021

Link: http://arxiv.org/abs/211..

12

Non-Gaussian Factor Graph Inference for Robotic Navigation:

Pu, Can
https://hdl.handle.net/1721.1/140070. , 2021

Link: https://hdl.handle.net/1..

13

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

Huang, Qiangqiang ; Pu, Can ; Fourie, Dehann...
http://arxiv.org/abs/2105.05045. , 2021

Link: http://arxiv.org/abs/210..

14

UDFNet: Unsupervised Disparity Fusion with Adversarial Netw..:

Pu, Can ; Fisher, Robert B
http://arxiv.org/abs/1904.10044. , 2019

Link: http://arxiv.org/abs/190..

15

DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment:

Pu, Can ; Li, Nanbo ; Tylecek, Radim.
http://arxiv.org/abs/1803.07426. , 2018

Link: http://arxiv.org/abs/180..