| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1238 | 2017 |
| Empowering and engaging industrial workers with Operator 4.0 solutions E Kaasinen, F Schmalfuß, C Özturk, S Aromaa, M Boubekeur, J Heilala, ... Computers & Industrial Engineering 139, 105678, 2020 | 195 | 2020 |
| Dominant rotated local binary patterns (DRLBP) for texture classification R Mehta, K Egiazarian Pattern Recognition Letters 71, 16-22, 2016 | 194 | 2016 |
| Texture classification using dense micro-block difference R Mehta, K Egiazarian IEEE Transactions on Image Processing 25 (4), 1604-1616, 2016 | 89 | 2016 |
| Single image super-resolution based on Wiener filter in similarity domain C Cruz, R Mehta, V Katkovnik, KO Egiazarian IEEE Transactions on Image Processing 27 (3), 1376-1389, 2017 | 77 | 2017 |
| Rotated Local Binary Pattern (RLBP) - Rotation Invariant Texture Descriptor. R Mehta, K Egiazarian In Proceedings of International Conference on Pattern Recognition …, 2013 | 54 | 2013 |
| Face recognition using scale-adaptive directional and textural features R Mehta, J Yuan, K Egiazarian Pattern Recognition 47 (5), 1846-1858, 2014 | 53 | 2014 |
| Object detection at 200 frames per second R Mehta, C Ozturk Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 43 | 2018 |
| Object detection at 200 frames per second R Mehta, C Ozturk Computer Vision–ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 …, 2019 | 16 | 2019 |
| Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation I Ruiz, B Raducanu, R Mehta, J Amores Engineering Applications of Artificial Intelligence 87, 103309, 2020 | 10 | 2020 |
| Rotation invariant texture description using symmetric dense microblock difference R Mehta, K Egiazarian IEEE Signal Processing Letters 23 (6), 833-837, 2016 | 7 | 2016 |
| Local polynomial approximation-local binary pattern (LPA-LBP) based face classification R Mehta, J Yuan, K Egiazarian Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms …, 2011 | 5 | 2011 |
| Gender classification by LUT based boosting of overlapping block patterns R Mehta, M Günther, S Marcel Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015 | 2 | 2015 |
| Towards visual words to words R Mehta, O Chum, J Matas 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 1 | 2015 |
| Texture Classification Using Local Discriminative Features and Fisher Encoding R Mehta, K Egiazarian In Proceedings of Image and Vision Computing New Zealand, 2013 | 1 | 2013 |
| Systems and methods for image super-resolution using iterative collaborative filtering R Mehta, K Egiazarian US Patent 11,403,733, 2022 | | 2022 |
| Efficient Feature Extraction for Person Re-Identification via Distillation F Salgado, R Mehta, PL Correia 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | | 2019 |
| Improving detection speed in video by exploiting frame correlation R Mehta, J Amores Pattern Recognition Letters 112, 303-309, 2018 | | 2018 |
| Single Image Super-Resolution based on Wiener Filter in Similarity Domain C Antunes Cruz, R Mehta, K Egiazarian, V Katkovnik | | 2018 |
| Towards Robust Local Descriptors for Texture Classification R Mehta Tampere University of Technology, 2016 | | 2016 |
Karen Egiazarian (Eguiazarian)Professor, Computational Imaging Group, Tampere UniversityVerified email at tuni.fi
