Gabriela Sejnova

According to our database, Gabriela Sejnova authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators.

Jirí Sedlár, Karla Stépánová, Radoslav Skoviera, Jan Kristof Behrens, Matús Tuna, Gabriela Sejnova, Josef Sivic, Robert Babuska

IEEE Robotics Autom. Lett., May, 2023

Adaptive Compression of the Latent Space in Variational Autoencoders.

Gabriela Sejnova, Michal Vavrecka, Karla Stépánová

CoRR, 2023

How Language of Interaction Affects the User Perception of a Robot.

Barbara Sienkiewicz, Gabriela Sejnova, Paul Gajewski, Michal Vavrecka, Bipin Indurkhya

Proceedings of the Social Robotics - 15th International Conference, 2023

Native Czech speakers consider English-speaking robots more intelligent.

Barbara Sienkiewicz, Gabriela Sejnova, Paul Gajewski, Michal Vavrecka, Bipin Indurkhya

Proceedings of the International Conference on Human-Agent Interaction, 2023

2022

Benchmarking Multimodal Variational Autoencoders: GeBiD Dataset and Toolkit.

Gabriela Sejnova, Michal Vavrecka, Karla Stépánová

CoRR, 2022

Personified Robotic Chatbot Based On Compositional Dialogues.

Michal Vavrecka, Gabriela Sejnova, Petr Schimperk

Proceedings of the 2nd International Conference on Interactive Media, 2022

Feedback-Driven Incremental Imitation Learning Using Sequential VAE.

Gabriela Sejnova, Karla Stépánová

Proceedings of the IEEE International Conference on Development and Learning, 2022

2021

MyGym: Modular Toolkit for Visuomotor Robotic Tasks.

Michal Vavrecka, Nikita Sokovnin, Megi Mejdrechova, Gabriela Sejnova

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

myGym: Modular Toolkit for Visuomotor Robotic Tasks.

Michal Vavrecka, Nikita Sokovnin, Megi Mejdrechova, Gabriela Sejnova, Marek Otáhal

CoRR, 2020

2019

Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges?

Radoslav Skoviera, Karla Stépánová, Michael Tesar, Gabriela Sejnova, Jirí Sedlár, Michal Vavrecka, Robert Babuska, Josef Sivic

CoRR, 2019

Exploring logical consistency and viewport sensitivity in compositional VQA models.

Gabriela Sejnova, Michal Vavrecka, Michael Tesar, Radoslav Skoviera

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Compositional models for VQA: Can neural module networks really count?

Gabriela Sejnova, Michael Tesar, Michal Vavrecka

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018