| 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 | 288 | 2019 |
| Resource efficient 3d convolutional neural networks O Kopuklu, N Kose, A Gunduz, G Rigoll Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 254 | 2019 |
| You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization O Köpüklü, X Wei, G Rigoll | 158 | 2019 |
| Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognitiontle. IEEE O Köpüklü, N Kose, G Rigoll CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2018 | 151* | 2018 |
| Driver Anomaly Detection: A Dataset and Contrastive Learning Approach O Kopuklu, J Zheng, H Xu, G Rigoll Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 85 | 2021 |
| 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 | 56 | 2020 |
| 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 | 52 | 2019 |
| How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild O Köpüklü, M Taseska, G Rigoll Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 46 | 2021 |
| 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 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 29 | 2020 |
| 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 | 28 | 2019 |
| From anomaly detection to open set recognition: Bridging the gap H Cevikalp, B Uzun, Y Salk, H Saribas, O Köpüklü Pattern Recognition 138, 109385, 2023 | 27 | 2023 |
| Deep compact polyhedral conic classifier for open and closed set recognition H Cevikalp, B Uzun, O Köpüklü, G Ozturk Pattern Recognition 119, 108080, 2021 | 24 | 2021 |
| 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 | 23 | 2019 |
| TRAT: Tracking by attention using spatio-temporal features H Saribas, H Cevikalp, O Köpüklü, B Uzun Neurocomputing 492, 150-161, 2022 | 22 | 2022 |
| Dissected 3D CNNs: Temporal skip connections for efficient online video processing O Köpüklü, S Hörmann, F Herzog, H Cevikalp, G Rigoll Computer Vision and Image Understanding 215, 103318, 2022 | 14 | 2022 |
| Talking with your hands: Scaling hand gestures and recognition with cnns O Kopuklu, Y Rong, G Rigoll Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 8 | 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 | 8 | 2018 |
| U-Net based Zero-hour Defect Inspection of Electronic Components and Semiconductors. F Kälber, O Köpüklü, NH Lehment, G Rigoll VISIGRAPP (5: VISAPP), 593-601, 2021 | 7 | 2021 |
| Comparative analysis of cnn-based spatiotemporal reasoning in videos O Köpüklü, F Herzog, G Rigoll Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 7 | 2021 |
| ResectNet: An Efficient Architecture for Voice Activity Detection on Mobile Devices O Köpüklü, M Taseska Proc. Interspeech 2022, 5363-5367, 2022 | 6 | 2022 |
Gerhard RigollProfessor for Human-Machine Communication, TU MünchenVerified email at gerhard-rigoll.de
