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2020 – today
- 2024
[c8]László Kopácsi
, Albert Klimenko, Michael Barz, Daniel Sonntag:
Exploring Gaze-Based Menu Navigation in Virtual Environments. SUI 2024: 40:1-40:2- [c7]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:
The MASTER XR Platform for Robotics Training in Manufacturing. VRST 2024: 67:1-67:2 - [c6]László Kopácsi, Tobias Sebastian Schneider, Chiara Karr, Michael Barz, Daniel Sonntag:
GazeLock: Gaze- and Lock Pattern-Based Authentication. VRST 2024: 94:1-94:2 - [i2]László Kopácsi, Áron Fóthi, András Lorincz:
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images. CoRR abs/2405.04650 (2024) - [i1]Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag:
I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data. CoRR abs/2406.06239 (2024) - 2023
- [j3]László Kopácsi, Benjámin Baffy, Gábor Baranyi, Joul Skaf, Gábor Sörös, Szilvia Szeier, András Lorincz, Daniel Sonntag:
Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction. Sensors 23(11): 5126 (2023) - [c5]László Kopácsi, Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag:
IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping. IUI Companion 2023: 33-36 - 2022
- [j2]Anna Gelencsér-Horváth, László Kopácsi, Viktor Varga, Dávid Keller, Árpád Dobolyi, Kristóf Karacs, András Lorincz:
Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline. J. Imaging 8(4): 109 (2022) - 2021
- [j1]Ádám Fodor, László Kopácsi, Zoltán Ádám Milacski, András Lorincz:
Speech De-identification with Deep Neural Networks. Acta Cybern. 25(2): 257-269 (2021) - [c4]László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz:
RATS: Robust Automated Tracking and Segmentation of Similar Instances. ICANN (3) 2021: 507-518 - 2020
- [c3]Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz:
Multi Object Tracking for Similar Instances: A Hybrid Architecture. ICONIP (1) 2020: 436-447
2010 – 2019
- 2019
- [c2]Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz:
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. IJCNN 2019: 1-7 - [c1]László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz:
Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. IJCNN 2019: 1-7
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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