László Kopácsi

According to our database, László Kopácsi authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data.

Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

CoRR, 2024

A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images.

László Kopácsi, Áron Fóthi, András Lorincz

CoRR, 2024

GazeLock: Gaze- and Lock Pattern-Based Authentication.

László Kopácsi, Tobias Sebastian Schneider, Chiara Karr, Michael Barz, Daniel Sonntag

Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology, 2024

The MASTER XR Platform for Robotics Training in Manufacturing.

László Kopácsi, Panagiotis Karagiannis, Sotiris Makris, Johan Kildal, Andoni Rivera-Pinto, Judit Ruiz de Munain, Jesús Rosel, Maria Madarieta, Nikolaos Tseregkounis, Konstantina Salagianni, Panagiotis Aivaliotis, Michael Barz, Daniel Sonntag

Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology, 2024

Exploring Gaze-Based Menu Navigation in Virtual Environments.

László Kopácsi, Albert Klimenko, Michael Barz, Daniel Sonntag

Proceedings of the 2024 ACM Symposium on Spatial User Interaction, 2024

2023

Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction.

László Kopácsi, Benjámin Baffy, Gábor Baranyi, Joul Skaf, Gábor Sörös, Szilvia Szeier, András Lorincz, Daniel Sonntag

Sensors, 2023

IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping.

László Kopácsi, Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

2022

Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline.

Anna Gelencsér-Horváth, László Kopácsi, Viktor Varga, Dávid Keller, Árpád Dobolyi, Kristóf Karacs, András Lorincz

J. Imaging, 2022

2021

Speech De-identification with Deep Neural Networks.

Ádám Fodor, László Kopácsi, Zoltán Ádám Milacski, András Lorincz

Acta Cybern., 2021

RATS: Robust Automated Tracking and Segmentation of Similar Instances.

László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Multi Object Tracking for Similar Instances: A Hybrid Architecture.

Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks.

László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz

Proceedings of the International Joint Conference on Neural Networks, 2019

Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation.

Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz

Proceedings of the International Joint Conference on Neural Networks, 2019