| Cycle-dehaze: Enhanced cyclegan for single image dehazing D Engin, A Genç, H Kemal Ekenel Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 676 | 2018 |
| Funsd: A dataset for form understanding in noisy scanned documents G Jaume, HK Ekenel, JP Thiran 2019 International Conference on Document Analysis and Recognition Workshops …, 2019 | 427 | 2019 |
| Strengths and weaknesses of deep learning models for face recognition against image degradations K Grm, V Štruc, A Artiges, M Caron, HK Ekenel Iet Biometrics 7 (1), 81-89, 2018 | 247 | 2018 |
| Multiresolution face recognition HK Ekenel, B Sankur Image and vision computing 23 (5), 469-477, 2005 | 240 | 2005 |
| A comprehensive analysis of deep learning based representation for face recognition M Mehdipour Ghazi, H Kemal Ekenel Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 217 | 2016 |
| How image degradations affect deep CNN-based face recognition? S Karahan, MK Yildirum, K Kirtac, FS Rende, G Butun, HK Ekenel 2016 international conference of the biometrics special interest group …, 2016 | 183 | 2016 |
| Ntire 2018 challenge on image dehazing: Methods and results C Ancuti, CO Ancuti, R Timofte Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 182 | 2018 |
| Srobb: Targeted perceptual loss for single image super-resolution MS Rad, B Bozorgtabar, UV Marti, M Basler, HK Ekenel, JP Thiran Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 177 | 2019 |
| Local appearance based face recognition using discrete cosine transform HK Ekenel, R Stiefelhagen 2005 13th European Signal Processing Conference, 1-5, 2005 | 176 | 2005 |
| Video-based face recognition on real-world data J Stallkamp, HK Ekenel, R Stiefelhagen 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 171 | 2007 |
| Enabling multimodal human–robot interaction for the karlsruhe humanoid robot R Stiefelhagen, HK Ekenel, C Fugen, P Gieselmann, H Holzapfel, F Kraft, ... IEEE Transactions on Robotics 23 (5), 840-851, 2007 | 171 | 2007 |
| How transferable are CNN-based features for age and gender classification? G Ozbulak, Y Aytar, HK Ekenel 2016 International Conference of the Biometrics Special Interest Group …, 2016 | 143 | 2016 |
| Feature selection in the independent component subspace for face recognition HK Ekenel, B Sankur Pattern Recognition Letters 25 (12), 1377-1388, 2004 | 141 | 2004 |
| Vision-based fight detection from surveillance cameras Ş Aktı, GA Tataroğlu, HK Ekenel 2019 Ninth International Conference on Image Processing Theory, Tools and …, 2019 | 140 | 2019 |
| Analysis of local appearance-based face recognition: Effects of feature selection and feature normalization HK Ekenel, R Stiefelhagen 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW …, 2006 | 140 | 2006 |
| Why is facial occlusion a challenging problem? HK Ekenel, R Stiefelhagen Advances in Biometrics: Third International Conference, ICB 2009, Alghero …, 2009 | 119 | 2009 |
| A computer vision system to localize and classify wastes on the streets MS Rad, A von Kaenel, A Droux, F Tieche, N Ouerhani, HK Ekenel, ... International Conference on computer vision systems, 195-204, 2017 | 111 | 2017 |
| Domain adaptation for ear recognition using deep convolutional neural networks FI Eyiokur, D Yaman, HK Ekenel iet Biometrics 7 (3), 199-206, 2018 | 88 | 2018 |
| The unconstrained ear recognition challenge Ž Emeršič, D Štepec, V Štruc, P Peer, A George, A Ahmad, E Omar, ... 2017 IEEE international joint conference on biometrics (IJCB), 715-724, 2017 | 87 | 2017 |
| Emotion recognition in affective tutoring systems: Collection of ground-truth data S Petrovica, A Anohina-Naumeca, HK Ekenel Procedia Computer Science 104, 437-444, 2017 | 85 | 2017 |
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyE-mail megerősítve itt: kit.edu
