Kamal Nasrollahi
Kamal Nasrollahi
Aalborg University/ Milestone Systems
Verified email at
Cited by
Cited by
Super-resolution: a comprehensive survey
K Nasrollahi, TB Moeslund
Machine vision and applications 25, 1423-1468, 2014
Deep pain: Exploiting long short-term memory networks for facial expression classification
P Rodriguez, G Cucurull, J Gonzàlez, JM Gonfaus, K Nasrollahi, ...
IEEE transactions on cybernetics 52 (5), 3314-3324, 2017
Self-supervised predictive convolutional attentive block for anomaly detection
NC Ristea, N Madan, RT Ionescu, K Nasrollahi, FS Khan, TB Moeslund, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos
A Deliege, A Cioppa, S Giancola, MJ Seikavandi, JV Dueholm, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
On soft biometrics
MS Nixon, PL Correia, K Nasrollahi, TB Moeslund, A Hadid, M Tistarelli
Pattern Recognition Letters 68, 218-230, 2015
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
Improved pulse detection from head motions using DCT
R Irani, K Nasrollahi, TB Moeslund
2014 international conference on computer vision theory and applications …, 2014
Video transformers: A survey
J Selva, AS Johansen, S Escalera, K Nasrollahi, TB Moeslund, A Clapés
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2023
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
Face quality assessment system in video sequences
K Nasrollahi, TB Moeslund
Biometrics and Identity Management: First European Workshop, BIOID 2008 …, 2008
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
Deep multimodal pain recognition: a database and comparison of spatio-temporal visual modalities
MA Haque, RB Bautista, F Noroozi, K Kulkarni, CB Laursen, R Irani, ...
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
Heartbeat rate measurement from facial video
MA Haque, R Irani, K Nasrollahi, TB Moeslund
IEEE Intelligent Systems 31 (3), 40-48, 2016
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 …, 2017
Fast fingerprint classification with deep neural networks
D Michelsanti, AD Ene, Y Guichi, R Stef, K Nasrollahi, TB Moeslund
International Conference on Computer Vision Theory and Applications 6, 202-209, 2017
Improved RGB‐D‐T based face recognition
MO Simón, C Corneanu, K Nasrollahi, O Nikisins, S Escalera, Y Sun, H Li, ...
Iet Biometrics 5 (4), 297-303, 2016
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection
A Barbalau, RT Ionescu, MI Georgescu, J Dueholm, B Ramachandra, ...
Computer Vision and Image Understanding 229, 103656, 2023
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
Spatiotemporal analysis of RGB-DT facial images for multimodal pain level recognition
R Irani, K Nasrollahi, MO Simon, CA Corneanu, S Escalera, C Bahnsen, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
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
The system can't perform the operation now. Try again later.
Articles 1–20