Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models. - Can Pu; Nanbo Li; Robert B. Fisher (CoRR, 2017)

DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment. - Can Pu; Nanbo Li; Radim Tylecek; Bob Fisher (3DV, 2018)

Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks. - Can Pu; Runzi Song; Nanbo Li; Robert B. Fisher (CoRR, 2018)

UDFNET: Unsupervised Disparity Fusion with Adversarial Networks. - Can Pu; Robert B. Fisher (ICIP, 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)

3D data fusion by depth refinement and pose recovery. - Can Pu (2019)

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. - Qiangqiang Huang; Can Pu; Dehann Fourie; Kasra Khosoussi; Jonathan P. How; John J. Leonard (ICRA, 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)

A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments. - Can Pu; Chuanyu Yang; Jinnian Pu; Robert B. Fisher (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)

Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity. - Chuanyu Yang; Can Pu; Tianqi Wei 001; Cong Wang 027; Zhibin Li 001 (CoRR, 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, 2023)

Learning Complex Motor Skills for Legged Robot Fall Recovery. - Chuanyu Yang; Can Pu; Guiyang Xin; Jie Zhang 051; Zhibin Li 001 (IEEE Robotics Autom. Lett., 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, 2023)

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. - Shuai Yuan; Lei Luo; Zhuo Hui; Can Pu; Xiaoyu Xiang; Rakesh Ranjan; Denis Demandolx (CVPR, 2024)