| Radar-based 2D car detection using deep neural networks M Dreher, E Erçelik, T Bänziger, A Knoll 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 43 | 2020 |
| 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone E Erçelik, E Yurtsever, M Liu, Z Yang, H Zhang, P Topçam, M Listl, ... European Conference on Computer Vision 2022, 247--265, 2022 | 32 | 2022 |
| A survey of robust 3d object detection methods in point clouds W Zimmer, E Ercelik, X Zhou, XJD Ortiz, A Knoll arXiv preprint arXiv:2204.00106, 2022 | 28 | 2022 |
| A novel approach to neural network-based motion cueing algorithm for a driving simulator AB Koyuncu, E Erçelik, E Comulada-Simpson, J Venrooij, M Kaboli, ... 2020 IEEE Intelligent Vehicles Symposium (IV), 2118-2125, 2020 | 16 | 2020 |
| ToF/Radar early feature-based fusion system for human detection and tracking F Zoghlami, OK Sen, H Heinrich, G Schneider, E Ercelik, A Knoll, ... 2021 22nd IEEE International Conference on Industrial Technology (ICIT) 1 …, 2021 | 13 | 2021 |
| Decoding of motor imagery movements from EEG signals using SpiNNaker neuromorphic hardware Z Tayeb, E Erçelik, J Conradt 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 263-266, 2017 | 13 | 2017 |
| A neurocomputational model implemented on humanoid robot for learning action selection E Erçelik, NS Şengör 2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015 | 12 | 2015 |
| 3d object detection with multi-frame rgb-lidar feature alignment E Erçelik, E Yurtsever, A Knoll IEEE Access 9, 143138-143149, 2021 | 8 | 2021 |
| Temp-frustum net: 3d object detection with temporal fusion E Erçelik, E Yurtsever, A Knoll 2021 IEEE Intelligent Vehicles Symposium (IV), 1095-1101, 2021 | 8 | 2021 |
| AerialMPTNet: Multi-pedestrian tracking in aerial imagery using temporal and graphical features M Kraus, SM Azimi, E Ercelik, R Bahmanyar, P Reinartz, A Knoll 2020 25th International Conference on Pattern Recognition (ICPR), 2454-2461, 2021 | 8 | 2021 |
| A model on building and modifying the stimulus action association in the brain E Erçelik, R Elibol, NS Şengör 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 6 | 2015 |
| A survey of robust 3d object detection methods in point clouds. arXiv 2022 W Zimmer, E Ercelik, X Zhou, XJD Ortiz, A Knoll arXiv preprint arXiv:2204.00106, 0 | 5 | |
| Recognition & Evaluation of Additional Traffic Signs on the example of’80 km/h when wet’ T Weber, E Ercelik, M Ebert, A Knoll 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4134-4139, 2019 | 2 | 2019 |
| Implementation of Matching Stimulus-Movement Experiment on a Humanoid Robot E Erçelik, NS Şengör International Workshop on Autonomous Cognitive Robotics., Stirling, Scotland, 2014 | 2 | 2014 |
| Real Time Learning of Rearranging Associations on a Humanoid Robot E Erçelik, NS Şengör Bernstein Conference, 2014 | 2 | 2014 |
| Temporal Data Processing for 3D Object Detection in Autonomous Driving E Erçelik Technische Universität München, 2022 | 1 | 2022 |
| A Survey of Robust LiDAR-based 3D Object Detection Methods for Autonomous Driving W Zimmer, E Erçelik, X Zhou, XJ Diaz Ortiz, AC Knoll arxiv, 2022 | | 2022 |
| Seminar WS20/21-Multimodal Temporal Data Processing in Autonomous Driving E Erçelik | | 2020 |
| Seminar SS2020-Visual Feature Learning in Autonomous Driving E Erçelik | | 2020 |
| Realization of Visual Representation Task on a Humanoid Robot E Erçelik | | 2016 |
