| Motion fused frames: Data level fusion strategy for hand gesture recognition O Kopuklu, N Kose, G Rigoll Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 36 | 2018 |
| Real-time hand gesture detection and classification using convolutional neural networks O Köpüklü, A Gunduz, N Kose, G Rigoll 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 30 | 2019 |
| Resource efficient 3d convolutional neural networks O Köpüklü, N Kose, A Gunduz, G Rigoll 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 14 | 2019 |
| Convolutional neural networks with layer reuse O Köpüklü, M Babaee, S Hörmann, G Rigoll 2019 IEEE International Conference on Image Processing (ICIP), 345-349, 2019 | 6 | 2019 |
| Analysis on Temporal Dimension of Inputs for 3D Convolutional Neural Networks O Köpüklü, G Rigoll IEEE International Conference on Image Processing, Applications and Systems …, 2018 | 6 | 2018 |
| Outlier-Robust Neural Aggregation Network for Video Face Identification S Hörmann, M Knoche, M Babaee, O Köpüklü, G Rigoll 2019 IEEE International Conference on Image Processing (ICIP), 1675-1679, 2019 | 1 | 2019 |
| You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization O Köpüklü, X Wei, G Rigoll | 1 | 2019 |
| Talking with your hands: Scaling hand gestures and recognition with cnns O Kopuklu, Y Rong, G Rigoll Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 1 | 2019 |
| DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework O Köpüklü, T Ledwon, Y Rong, N Kose, G Rigoll arXiv preprint arXiv:2003.00951, 2020 | | 2020 |
| Online Dynamic Hand Gesture Recognition Including Efficiency Analysis O Köpüklü, A Gunduz, N Kose, G Rigoll IEEE Transactions on Biometrics, Behavior, and Identity Science 2 (2), 85-97, 2020 | | 2020 |
| Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments M Kayhan, O Köpüklü, MH Sarhan, M Yigitsoy, A Eslami, G Rigoll arXiv preprint arXiv:1912.04618, 2019 | | 2019 |
| Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams Y Feng, S Wu, O Köpüklü, X Kang, F Tombari arXiv preprint arXiv:1911.08995, 2019 | | 2019 |
| Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach* N Kose, O Kopuklu, A Unnervik, G Rigoll 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3236-3242, 2019 | | 2019 |
| Gait Energy Image Restoration Using Generative Adversarial Networks M Babaee, Y Zhu, O Köpüklü, S Hörmann, G Rigoll 2019 IEEE International Conference on Image Processing (ICIP), 2596-2600, 2019 | | 2019 |
| Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos O Köpüklü, F Herzog, G Rigoll arXiv preprint arXiv:1909.05165, 2019 | | 2019 |
Gerhard RigollProfessor for Human-Machine Communication, TU MünchenVerified email at gerhard-rigoll.de
