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Zoltan Toser
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2010 – 2019
- 2018
- [j1]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski
, Andras Sarkany, Zoltan Toser:
Towards reasoning based representations: Deep Consistence Seeking Machine. Cogn. Syst. Res. 47: 92-108 (2018) - 2016
- [c8]András Lörincz
Estimating Cartesian Compression via Deep Learning. AGI 2016: 294-304 - [c7]Zoltán Tosér, László A. Jeni, András Lörincz
Deep Learning for Facial Action Unit Detection Under Large Head Poses. ECCV Workshops (3) 2016: 359-371 - [c6]Richárd Bellon, Younggeon Choi, Nikoletta Ekker, Vincent Lepetit, L. Mike Olasz, Daniel Sonntag, Zoltán Tosér, Kyounghwan Yoo, András Lörincz
Model Based Augmentation and Testing of an Annotated Hand Pose Dataset. KI 2016: 17-29 - [c5]Zoltán Tosér, Róbert Adrian Rill
Personalization of Gaze Direction Estimation with Deep Learning. KI 2016: 200-207 - [i1]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér:
Cognitive Deep Machine Can Train Itself. CoRR abs/1612.00745 (2016) - 2015
- [c4]Zoltan Toser, András Lörincz
The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification. AGI 2015: 373-383 - [c3]András Sárkány, Zoltán Tosér, Anita L. Vero, András Lörincz
Maintain and Improve Mental Health by Smart Virtual Reality Serious Games. MindCare 2015: 220-229 - [c2]Andras Mihaly, Zoltán Ádám Milacski
Cost and risk sensitive decision making and control for highway overtaking maneuver. MT-ITS 2015: 87-92 - 2014
- [c1]Zsolt Palotai, Miklos Lang, Andras Sarkany, Zoltan Toser, Daniel Sonntag, Takumi Toyama, András Lörincz
LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos. CBMI 2014: 1-4
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