Kamal Nasrollahi
Kamal Nasrollahi
Aalborg University/ Milestone Systems
Verified email at create.aau.dk
Cited by
Cited by
Super-resolution: a comprehensive survey
K Nasrollahi, TB Moeslund
Machine vision and applications 25 (6), 1423-1468, 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
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
On soft biometrics
MS Nixon, PL Correia, K Nasrollahi, TB Moeslund, A Hadid, M Tistarelli
Pattern Recognition Letters 68, 218-230, 2015
Face quality assessment system in video sequences
K Nasrollahi, TB Moeslund
European Workshop on Biometrics and Identity Management, 10-18, 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
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
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
Heartbeat rate measurement from facial video
MA Haque, R Irani, K Nasrollahi, TB Moeslund
IEEE Intelligent Systems 31 (3), 40-48, 2016
Real-Time Barcode Detection and Classification using Deep Learning.
DK Hansen, K Nasrollahi, CB Rasmussen, TB Moeslund
IJCCI 1, 321-327, 2017
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
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
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
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
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
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
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
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
Complete face logs for video sequences using face quality measures
K Nasrollahi, TB Moeslund
IET signal processing 3 (4), 289-300, 2009
Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera
MA Haque, K Nasrollahi, TB Moeslund
2013 10th IEEE International Conference on Advanced Video and Signal Based …, 2013
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