Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Villamizar, Michael"'
We study the space $c_{0,\mathcal{I}}$ of all bounded sequences $(x_n)$ that $\mathcal{I}$-converge to $0$, endowed with the sup norm, where $\mathcal{I}$ is an ideal of subsets of $\mathbb{N}$. We show that two such spaces, $c_{0,\mathcal{I}}$ and $
Externí odkaz:
http://arxiv.org/abs/2309.08076
Continuing with the study of Approximately ultrahomogeneous and Fra\"iss\'e Banach spaces introduced by V. Ferenczi, J. L\'opez-Abad, B. Mbombo and S. Todorcevic, we define formally weaker and in some aspects more natural properties of Banach spaces
Externí odkaz:
http://arxiv.org/abs/2309.00185
We propose to leverage Transformer architectures for non-autoregressive human motion prediction. Our approach decodes elements in parallel from a query sequence, instead of conditioning on previous predictions such as instate-of-the-art RNN-based app
Externí odkaz:
http://arxiv.org/abs/2109.07531
Publikováno v:
In Journal of Mathematical Analysis and Applications 15 August 2024 536(2)
We propose to leverage recent advances in reliable 2D pose estimation with Convolutional Neural Networks (CNN) to estimate the 3D pose of people from depth images in multi-person Human-Robot Interaction (HRI) scenarios. Our method is based on the obs
Externí odkaz:
http://arxiv.org/abs/2011.05010
Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered for instance in HRI settings. Accurate methods have been proposed recently, but they usually
Externí odkaz:
http://arxiv.org/abs/1912.00711
Publikováno v:
2018 IEEE International Conference on Intelligent Robots and Systems, Madrid, Spain
We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-person pose estimation algorithm applicable to Human Robot Interaction (HRI) scenarios. Our hypothesis is that depth images
Externí odkaz:
http://arxiv.org/abs/1910.13911
Publikováno v:
In Computers and Electronics in Agriculture April 2023 207
Publikováno v:
In Pattern Recognition Letters January 2020 129:63-69
Publikováno v:
In Journal of Mathematical Analysis and Applications 15 November 2018 467(2):1287-1296