Can Pu - RankMe

20 papers A* 2A 1B 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Towards Surgical Task Automation: Actor-Critic Models Meet Self-Supervised Imitation Learning IROS Jingshuai Liu, Alain Andres, Yonghang Jiang, Yuning Du, Xichun Luo, Wenmiao Shu, Can Pu, Sotirios A. Tsaftaris
2024	A*	`conf`	UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. CVPR Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx
2024	J	`jnl`	UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. CoRR Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx
2023	J	`jnl`	A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments. CoRR Can Pu, Chuanyu Yang, Jinnian Pu, Robert B. Fisher
2023	J	`jnl`	A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot. CoRR Can Pu, Chuanyu Yang, Jinnian Pu, Radim Tylecek, Robert B. Fisher
2023	J	`jnl`	A general mobile manipulator automation framework for flexible tasks in controlled environments. Adv. Eng. Informatics Can Pu, Chuanyu Yang, Jinnian Pu, Robert B. Fisher
2023	J	`jnl`	Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2023	J	`jnl`	Learning Complex Motor Skills for Legged Robot Fall Recovery. IEEE Robotics Autom. Lett. Chuanyu Yang, Can Pu, Guiyang Xin, Jie Zhang, Zhibin Li
2023	J	`jnl`	Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity. CoRR Chuanyu Yang, Can Pu, Tianqi Wei, Cong Wang, Zhibin Li
2021	A*	`conf`	NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021	J	`jnl`	NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021	J	`jnl`	Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2019	—	`—`	3D data fusion by depth refinement and pose recovery. Can Pu
2019	J	`jnl`	SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks. Remote. Sens. Can Pu, Runzi Song, Radim Tylecek, Nanbo Li, Robert B. Fisher
2019	B	`conf`	UDFNET: Unsupervised Disparity Fusion with Adversarial Networks. ICIP Can Pu, Robert B. Fisher
2019	J	`jnl`	UDFNet: Unsupervised Disparity Fusion with Adversarial Networks. CoRR Can Pu, Robert B. Fisher
2018	—	`conf`	DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment. 3DV Can Pu, Nanbo Li, Radim Tylecek, Bob Fisher
2018	J	`jnl`	DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment. CoRR Can Pu, Nanbo Li, Radim Tylecek, Robert B. Fisher
2018	J	`jnl`	Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks. CoRR Can Pu, Runzi Song, Nanbo Li, Robert B. Fisher
2017	J	`jnl`	Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models. CoRR Can Pu, Nanbo Li, Robert B. Fisher