| FPGA-based real-time pedestrian detection on high-resolution images M Hahnle, F Saxen, M Hisung, U Brunsmann, K Doll Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 144 | 2013 |
| Face attribute detection with mobilenetv2 and nasnet-mobile F Saxen, P Werner, S Handrich, E Othman, L Dinges, A Al-Hamadi 2019 11th international symposium on image and signal processing and …, 2019 | 88 | 2019 |
| Color-based skin segmentation: An evaluation of the state of the art F Saxen, A Al-Hamadi 2014 IEEE International Conference on Image Processing (ICIP), 4467-4471, 2014 | 29 | 2014 |
| Cross-database evaluation of pain recognition from facial video E Othman, P Werner, F Saxen, A Al-Hamadi, S Walter 2019 11th international symposium on image and signal processing and …, 2019 | 25 | 2019 |
| Landmark based head pose estimation benchmark and method P Werner, F Saxen, A Al-Hamadi 2017 IEEE international conference on image processing (ICIP), 3909-3913, 2017 | 25 | 2017 |
| Handling Data Imbalance in Automatic Facial Action Intensity Estimation P Werner, F Saxen, A Al-Hamadi British Machine Vision Conference (BMVC), 12, 2015 | 24 | 2015 |
| Automatic vs. human recognition of pain intensity from facial expression on the X-ITE pain database E Othman, P Werner, F Saxen, A Al-Hamadi, S Gruss, S Walter Sensors 21 (9), 3273, 2021 | 21 | 2021 |
| How the region of interest impacts contact free heart rate estimation algorithms M Rapczynski, P Werner, F Saxen, A Al-Hamadi 2018 25th IEEE International Conference on Image Processing (ICIP), 2027-2031, 2018 | 18 | 2018 |
| Real vs. fake emotion challenge: Learning to rank authenticity from facial activity descriptors F Saxen, P Werner, A Al-Hamadi Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 17 | 2017 |
| Predicting group contribution behaviour in a public goods game from face-to-face communication E Othman, F Saxen, D Bershadskyy, P Werner, A Al-Hamadi, J Weimann Sensors 19 (12), 2786, 2019 | 11 | 2019 |
| An automatic system for continuous pain intensity monitoring based on analyzing data from uni-, bi-, and multi-modality E Othman, P Werner, F Saxen, MA Fiedler, A Al-Hamadi Sensors 22 (13), 4992, 2022 | 9 | 2022 |
| Generalizing to unseen head poses in facial expression recognition and action unit intensity estimation P Werner, F Saxen, A Al-Hamadi, H Yu 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 9 | 2019 |
| Classification networks for continuous automatic pain intensity monitoring in video using facial expression on the X-ITE Pain Database E Othman, P Werner, F Saxen, A Al-Hamadi, S Gruss, S Walter Journal of Visual Communication and Image Representation 91, 103743, 2023 | 8 | 2023 |
| Superpixels for skin segmentation F Saxen, A Al-Hamadi Proc. Workshop Farbbildeerarbeitung, 153-159, 2014 | 8 | 2014 |
| Facial action unit recognition in the wild with multi-task CNN self-training for the EmotioNet challenge P Werner, F Saxen, A Al-Hamadi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 7 | 2020 |
| Detecting arbitrarily rotated faces for face analysis F Saxen, S Handrich, P Werner, E Othman, A Al-Hamadi 2019 IEEE International Conference on Image Processing (ICIP), 3945-3949, 2019 | 7 | 2019 |
| Simultaneous prediction of valence/arousal and emotion categories in real-time S Handrich, L Dinges, F Saxen, A Al-Hamadi, S Wachmuth 2019 IEEE International Conference on Signal and Image Processing …, 2019 | 7 | 2019 |
| Simultaneous prediction of valence/arousal and emotion categories and its application in an HRC scenario S Handrich, L Dinges, A Al-Hamadi, P Werner, F Saxen, Z Al Aghbari Journal of Ambient Intelligence and Humanized Computing 12, 57-73, 2021 | 5 | 2021 |
| Investigation of an augmented reality-based machine operator assistance-system F Saxen, A Köpsel, S Adler, R Mecke, A Al-Hamadi, J Tümler, A Huckauf Companion technology: A paradigm shift in human-technology interaction, 471-483, 2017 | 5 | 2017 |
| Image-based methods for interaction with head-worn worker-assistance systems F Saxen, O Rashid, A Al-Hamadi, S Adler, A Kernchen, R Mecke Journal of Intelligent Learning Systems and Applications 2014, 2014 | 5 | 2014 |
Ayoub Al-HamadiProfessor of Neuro-Information Technology (NIT)Adresse e-mail validée de ovgu.de
