Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Sedlar, Jiri"'
Autor:
Bushuiev, Anton, Bushuiev, Roman, Zadorozhny, Nikola, Samusevich, Raman, Stärk, Hannes, Sedlar, Jiri, Pluskal, Tomáš, Sivic, Josef
Data scarcity and distribution shifts often hinder the ability of machine learning models to generalize when applied to proteins and other biological data. Self-supervised pre-training on large datasets is a common method to enhance generalization. H
Externí odkaz:
http://arxiv.org/abs/2411.02109
Autor:
Bushuiev, Anton, Bushuiev, Roman, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef
In recent years, there has been remarkable progress in machine learning for protein-protein interactions. However, prior work has predominantly focused on improving learning algorithms, with less attention paid to evaluation strategies and data prepa
Externí odkaz:
http://arxiv.org/abs/2404.10457
Autor:
Bushuiev, Anton, Bushuiev, Roman, Kouba, Petr, Filkin, Anatolii, Gabrielova, Marketa, Gabriel, Michal, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef
Discovering mutations enhancing protein-protein interactions (PPIs) is critical for advancing biomedical research and developing improved therapeutics. While machine learning approaches have substantially advanced the field, they often struggle to ge
Externí odkaz:
http://arxiv.org/abs/2310.18515
Autor:
Sedlar, Jiri, Stepanova, Karla, Skoviera, Radoslav, Behrens, Jan K., Tuna, Matus, Sejnova, Gabriela, Sivic, Josef, Babuska, Robert
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, no. 5, pp. 2788-2795, 2023
This paper introduces a dataset for training and evaluating methods for 6D pose estimation of hand-held tools in task demonstrations captured by a standard RGB camera. Despite the significant progress of 6D pose estimation methods, their performance
Externí odkaz:
http://arxiv.org/abs/2209.07976
In this paper, we introduce a method to automatically reconstruct the 3D motion of a person interacting with an object from a single RGB video. Our method estimates the 3D poses of the person together with the object pose, the contact positions and t
Externí odkaz:
http://arxiv.org/abs/2111.01591
Autor:
Taira, Hajime, Rocco, Ignacio, Sedlar, Jiri, Okutomi, Masatoshi, Sivic, Josef, Pajdla, Tomas, Sattler, Torsten, Torii, Akihiko
Visual localization in large and complex indoor scenes, dominated by weakly textured rooms and repeating geometric patterns, is a challenging problem with high practical relevance for applications such as Augmented Reality and robotics. To handle the
Externí odkaz:
http://arxiv.org/abs/1908.04598
In this paper, we introduce a method to automatically reconstruct the 3D motion of a person interacting with an object from a single RGB video. Our method estimates the 3D poses of the person and the object, contact positions, and forces and torques
Externí odkaz:
http://arxiv.org/abs/1904.02683
Autor:
Skoviera, Radoslav, Stepanova, Karla, Tesar, Michael, Sejnova, Gabriela, Sedlar, Jiri, Vavrecka, Michal, Babuska, Robert, Sivic, Josef
Publikováno v:
The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018, Workshop on: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens http://intelligent-social-robots-ws.com/materials/
In this paper, we consider the problem of learning object manipulation tasks from human demonstration using RGB or RGB-D cameras. We highlight the key challenges in capturing sufficiently good data with no tracking devices - starting from sensor sele
Externí odkaz:
http://arxiv.org/abs/1901.08335
Autor:
Akkus, Zeynettin, Ali, Issa, Sedlar, Jiri, Kline, Timothy L., Agrawal, Jay P., Parney, Ian F., Giannini, Caterina, Erickson, Bradley J.
Objective: Several studies have associated codeletion of chromosome arms 1p/19q in low-grade gliomas (LGG) with positive response to treatment and longer progression free survival. Therefore, predicting 1p/19q status is crucial for effective treatmen
Externí odkaz:
http://arxiv.org/abs/1611.06939
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.