Artúr István Károly

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Object Segmentation

Mobile Robot Navigation

Learning Models

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Artúr István Károly, Sebestyén Tirczka, Huijun Gao, Imre J. Rudas, Péter Galambos
Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data. IEEE Trans. Cybern. 54 (1) (2024)
Artúr István Károly, Péter Galambos, Jozsef Kuti, Imre J. Rudas
Deep Learning in Robotics: Survey on Model Structures and Training Strategies. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Takayuki Murooka, Artúr István Károly, Felix von Drigalski, Yoshihisa Ijiri
Simultaneous Planning of Grasp and Motion using Sample Regions and Gradient-Based Optimization. CASE (2020)
Renáta Nagyné Elek, Artúr István Károly, Tamás Haidegger, Péter Galambos
Towards Optical Flow Ego-motion Compensation for Moving Object Segmentation. ROBOVIS (2020)
Artúr István Károly, Márta Takács, Péter Galambos
OCSVM-based Evaluation Method for Generative Neural Networks. IJCNN (2019)
Artúr István Károly, Renáta Nagyné Elek, Tamás Haidegger, Károly Széll, Péter Galambos
Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models. SMC (2019)