Picture of Okan Köpüklü

M.Sc. Okan Köpüklü

Technical University of Munich

Chair of Human-Machine Communication (Prof. Rigoll)

Postal address

Arcisstr. 21
80333 München

Research Areas


Okan Köpüklü, Neslihan Köse, Ahmed Gunduz and Gerhard Rigoll: "Resource Efficient 3D Convolutional Neural Networks". arXiv preprint arXiv:1904.02422, 2019. Preprint version

Okan Köpüklü, Maryam Babaee, Stefan Hörmann and Gerhard Rigoll: "Convolutional Neural Networks with Layer Reuse". arXiv preprint arXiv:1901.09615, 2019. Preprint version

Okan Köpüklü, Ahmed Gunduz, Neslihan Köse and Gerhard Rigoll: "Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks". Proc. IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), IEEE, 2019. arXiv preprint arXiv:1901.10323

Okan Köpüklü and Gerhard Rigoll: "Analysis on Temporal Dimension of Inputs for 3D Convolutional Neural Networks". Proc. Conference on Image Processing, Applications and Systems (IPAS 2018), IEEE, 2018.
Preprint version

Okan Köpüklü, Neslihan Köse, and Gerhard Rigoll: "Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition".  Proc. Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE/CVV, 2018. Preprint version