Super-resolution: a comprehensive survey K Nasrollahi, TB Moeslund Machine vision and applications 25, 1423-1468, 2014 | 817 | 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 | 327 | 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 | 236 | 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 | 156 | 2021 |
On soft biometrics MS Nixon, PL Correia, K Nasrollahi, TB Moeslund, A Hadid, M Tistarelli Pattern Recognition Letters 68, 218-230, 2015 | 129 | 2015 |
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 | 121 | 2023 |
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 | 117 | 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 | 103 | 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 | 102 | 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 | 98 | 2017 |
Face quality assessment system in video sequences K Nasrollahi, TB Moeslund Biometrics and Identity Management: First European Workshop, BIOID 2008 …, 2008 | 95 | 2008 |
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 | 92 | 2018 |
Heartbeat rate measurement from facial video MA Haque, R Irani, K Nasrollahi, TB Moeslund IEEE Intelligent Systems 31 (3), 40-48, 2016 | 79 | 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 | 69 | 2023 |
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 | 67 | 2017 |
Self-supervised masked convolutional transformer block for anomaly detection N Madan, NC Ristea, RT Ionescu, K Nasrollahi, FS Khan, TB Moeslund, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 65 | 2023 |
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 | 61 | 2017 |
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 | 59 | 2016 |
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 | 58 | 2016 |
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 | 52 | 2016 |