Super-resolution: a comprehensive survey K Nasrollahi, TB Moeslund Machine vision and applications 25 (6), 1423-1468, 2014 | 509 | 2014 |
Deep pain: Exploiting long short-term memory networks for facial expression classification P Rodriguez, G Cucurull, J Gonzŕlez, JM Gonfaus, K Nasrollahi, ... IEEE transactions on cybernetics, 2017 | 145 | 2017 |
An rgb-d database using microsoft's kinect for windows for face detection RI Hg, P Jasek, C Rofidal, K Nasrollahi, TB Moeslund, G Tranchet 2012 Eighth International Conference on Signal Image Technology and Internet …, 2012 | 98 | 2012 |
On soft biometrics MS Nixon, PL Correia, K Nasrollahi, TB Moeslund, A Hadid, M Tistarelli Pattern Recognition Letters 68, 218-230, 2015 | 82 | 2015 |
Face quality assessment system in video sequences K Nasrollahi, TB Moeslund European Workshop on Biometrics and Identity Management, 10-18, 2008 | 77 | 2008 |
Improved pulse detection from head motions using DCT R Irani, K Nasrollahi, TB Moeslund 2014 international conference on computer vision theory and applications …, 2014 | 69 | 2014 |
Evaluating state-of-the-art object detector on challenging traffic light data MB Jensen, K Nasrollahi, TB Moeslund Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 46 | 2017 |
Real-time barcode detection and classification using deep learning DK Hansen, K Nasrollahi, CB Rasmussen, TB Moeslund International Joint Conference on Computational Intelligence, 321-327, 2017 | 43 | 2017 |
Heartbeat rate measurement from facial video MA Haque, R Irani, K Nasrollahi, TB Moeslund IEEE Intelligent Systems 31 (3), 40-48, 2016 | 42 | 2016 |
Keep it accurate and diverse: Enhancing action recognition performance by ensemble learning M Bagheri, Q Gao, S Escalera, A Clapes, K Nasrollahi, MB Holte, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 40 | 2015 |
Spatio-temporal pain recognition in cnn-based super-resolved facial images M Bellantonio, MA Haque, P Rodriguez, K Nasrollahi, T Telve, S Escalera, ... Video Analytics. Face and Facial Expression Recognition and Audience …, 2016 | 37 | 2016 |
Extracting a good quality frontal face image from a low-resolution video sequence K Nasrollahi, TB Moeslund IEEE transactions on circuits and systems for video technology 21 (10), 1353 …, 2011 | 37 | 2011 |
Facial video-based detection of physical fatigue for maximal muscle activity MA Haque, R Irani, K Nasrollahi, TB Moeslund IET Computer Vision 10 (4), 323-330, 2016 | 32 | 2016 |
Deep learning based super-resolution for improved action recognition K Nasrollahi, S Escalera, P Rasti, G Anbarjafari, X Baro, HJ Escalante, ... 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 32 | 2015 |
Fast Fingerprint Classification with Deep Neural Networks. D Michelsanti, AD Ene, Y Guichi, R Stef, K Nasrollahi, TB Moeslund VISIGRAPP (5: VISAPP), 202-209, 2017 | 30 | 2017 |
Extremal regions detection guided by maxima of gradient magnitude M Faraji, J Shanbehzadeh, K Nasrollahi, TB Moeslund IEEE Transactions on Image Processing 24 (12), 5401-5415, 2015 | 29 | 2015 |
Pain recognition using spatiotemporal oriented energy of facial muscles R Irani, K Nasrollahi, TB Moeslund Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 28 | 2015 |
Improved RGB-DT based face recognition MO Simón, C Corneanu, K Nasrollahi, O Nikisins, S Escalera, Y Sun, H Li, ... Iet Biometrics 5 (4), 297-303, 2016 | 27 | 2016 |
Complete face logs for video sequences using face quality measures K Nasrollahi, TB Moeslund IET signal processing 3 (4), 289-300, 2009 | 26 | 2009 |
Thermal super-pixels for bimodal stress recognition R Irani, K Nasrollahi, A Dhall, TB Moeslund, T Gedeon 2016 Sixth International Conference on Image Processing Theory, Tools and …, 2016 | 24 | 2016 |