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Köpüklü, O.; Babaee, M.; Hörmann, S.; Rigoll, G.
Convolutional Neural Networks with Layer Reuse
Proc. 26th IEEE International Conference on Image Processing (ICIP 2019)
2019
Köpüklü, O.; Gunduz, A.; Köse, N.; Rigoll, G.
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
Proc. IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)
2019
Köpüklü, O.; Rigoll, G.
Analysis on Temporal Dimension of Inputs for 3D Convolutional Neural Networks
Proc. Conference on Image Processing, Applications and Systems (IPAS 2018)
2018
Startsev, M.; Agtzidis,I.; Dorr, M.
1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits
Behavior Research Methods
2018
Nov
pp. 1-17
Babaee, Ma.; Li, L.; Rigoll, G.
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network
2018
Babaee, Ma.; Li, L.; Rigoll, G.
Gait Recognition from Incomplete Gait Cycle
pp. 768-772
Proc. 25th IEEE International Conference on Image Processing (ICIP)
2018
Babaee, Ma.; Li, Z.; Rigoll, G.
Occlusion Handling in Tracking Multiple People Using RNN
pp. 2715-2719
Proc. 25th IEEE International Conference on Image Processing (ICIP)
2018
Lindemann, P.; Lee, T.-Y.; Rigoll, G.
Catch My Drift: Elevating Situation Awareness for Highly Automated Driving with an Explanatory Windshield Display User Interface
Multimodal Technologies and Interaction
2018
Vol. 2, No. 4
Article No. 71
Fastl, H.; Patsouras, D.; Franosch, M.; van Hemmen, L.
Zwicker-tones for pure tone plus bandlimited noise
67-74
proceedings of the 12th International Symposium on Hearing, Physiological and Psychophysical Bases of Auditory
Shaker Publishing
2001
Startsev, M.; Agtzidis,I.; Dorr, M.
Deep learning vs. manual annotation of eye movements
Article No. 101
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA 18)
2018
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