Köpüklü, O.; Gunduz, A.; Köse, N.; Rigoll, G.Online Dynamic Hand Gesture Recognition Including Efficiency AnalysisIEEE Transactions on Biometrics, Behavior, and Identity Science2020Vol. 2, Issue 2pp. 85-97
Köpüklü, O.; Gunduz, A.; Köse, N.; Rigoll, G.Real-time Hand Gesture Detection and Classification Using Convolutional Neural NetworksProc. IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)2019
Köpüklü, O.; Köse, N.; Rigoll, G.Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognitionpp. 2216-2224Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops2018
Köpüklü, O.; Ledwon, T.; Rong, Y.; Köse, N.; Rigoll, G.DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Frameworkpp. 275-28215th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)2020
Köpüklü, Okan; Ledwon, Thomas; Rong, Yao; Köse, Neslihan; Rigoll, GerhardDriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)2020
Köpüklü, Okan;Gunduz, Ahmet;Köse, Neslihan;Rigoll, GerhardOnline dynamic hand gesture recognition including efficiency analysisIEEE Transactions on Biometrics, Behavior, and Identity Science202022Apr85--97
Köse, N.; Babaee, M.; Rigoll, G.Multi-view Human Activity Recognition using Motion Frequencyarticle 1871-17Proc. International Conference on Image Processing (ICIP)2017
Köse, Neslihan;Köpüklü, Okan;Unnervik, Alexander;Rigoll, GerhardReal-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach2019 IEEE Intelligent Transportation Systems Conference (ITSC)3236--32422019
Köpüklü, O.; Köse, N.; Gunduz, A.; Rigoll, G.Resource Efficient 3D Convolutional Neural Networks2019