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Agtzidis, Ioannis;Startsev, Mikhail;Dorr, Michael
Two hours in Hollywood: A manually annotated ground truth data set of eye movements during movie clip watching
Journal of Eye Movement Research
2020
13
4
Oct.
Andronic, Iustina;Kürzinger, Ludwig;Chavez Rosas, Edgar Ricardo;Rigoll, Gerhard;Seeber, Bernhard U.
MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition
Speech and Computer
Springer International Publishing
2020
Hiller, M., Kürzinger, L.; Sigl, G.
Review of error correction for PUFs and evaluation on state-of-the-art FPGAs
Journal of Cryptographic Engineering
2020
May
Hörmann, S.; Knoche, M.; Rigoll, G.
A Multi-Task Comparator Framework for Kinship Verification
pp. 863-867
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
2020
Hörmann, S.; Moiz, A.; Knoche, M.; Rigoll, G.
Attention Fusion for Audio-Visual Person Verification Using Multi-Scale Features
pp. 281-285
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
2020
Kayhan, Mert;Köpüklü, Okan;Sarhan, Mhd Hasan;Yigitsoy, Mehmet;Eslami, Abouzar;Rigoll, Gerhard
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
Artificial Intelligence for Healthcare Applications Workshop at International Conference on Pattern Recognition
2021
Köpüklü, O.; Gunduz, A.; Köse, N.; Rigoll, G.
Online Dynamic Hand Gesture Recognition Including Efficiency Analysis
IEEE Transactions on Biometrics, Behavior, and Identity Science
2020
Vol. 2, Issue 2
pp. 85-97
Köpüklü, Okan;Gunduz, Ahmet;Köse, Neslihan;Rigoll, Gerhard
Online dynamic hand gesture recognition including efficiency analysis
IEEE Transactions on Biometrics, Behavior, and Identity Science
2020
2
2
Apr
85--97
Köpüklü, Okan;Herzog, Fabian;Rigoll, Gerhard
Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos
Deep Learning for Human-Centric Activity Understanding Workshop at International Conference on Pattern Recognition
2021
Köpüklü, Okan; Ledwon, Thomas; Rong, Yao; Köse, Neslihan; Rigoll, Gerhard
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
2020
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