Comparison of deep-learning and conventional machine-learning methods for the automatic recognition of the hepatocellular carcinoma areas from ultrasound images R Brehar, DA Mitrea, F Vancea, T Marita, S Nedevschi, M Lupsor-Platon, ... Sensors 20 (11), 3085, 2020 | 53 | 2020 |
The influence of hubness on nearest-neighbor methods in object recognition N Tomačev, R Brehar, D Mladeniæ, S Nedevschi 2011 IEEE 7th International Conference on Intelligent Computer Communication …, 2011 | 33 | 2011 |
Pedestrian detection in infrared images using HOG, LBP, gradient magnitude and intensity feature channels R Brehar, S Nedevschi 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 22 | 2014 |
Pedestrian detection in infrared images using aggregated channel features R Brehar, C Vancea, S Nedevschi 2014 IEEE 10th International Conference on Intelligent Computer …, 2014 | 22 | 2014 |
Pedestrian street-cross action recognition in monocular far infrared sequences RD Brehar, MP Muresan, T Marița, CC Vancea, M Negru, S Nedevschi IEEE Access 9, 74302-74324, 2021 | 21 | 2021 |
Pedestrians detection using a cascade of LBP and HOG classifiers C Cosma, R Brehar, S Nedevschi 2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013 | 18 | 2013 |
An offline system for handwritten signature recognition I Barbantan, C Vidrighin, R Borca 2009 IEEE 5th International Conference on Intelligent Computer Communication …, 2009 | 17 | 2009 |
Understanding pedestrian behaviour with pose estimation and recurrent networks A Marginean, R Brehar, M Negru 2019 6th International Symposium on Electrical and Electronics Engineering …, 2019 | 12 | 2019 |
Hepatocellular carcinoma recognition in ultrasound images using textural descriptors and classical machine learning R Brehar, D Mitrea, S Nedevschi, MP Lupsor, M Rotaru, R Badea 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 12 | 2019 |
Part-based pedestrian detection using HoG features and vertical symmetry AC Cosma, R Brehar, S Nedevschi 2012 IEEE 8th International Conference on Intelligent Computer Communication …, 2012 | 12 | 2012 |
Scan window based pedestrian recognition methods improvement by search space and scale reduction R Brehar, S Nedevschi 2014 IEEE Intelligent Vehicles Symposium Proceedings, 529-534, 2014 | 11 | 2014 |
Spatio-temporal reasoning for traffic scene understanding R Brehar, C Fortuna, S Bota, D Mladenic, S Nedevschi 2011 IEEE 7th International Conference on Intelligent Computer Communication …, 2011 | 11 | 2011 |
Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors R Brehar, C Vancea, T Marița, I Giosan, S Nedevschi 2015 IEEE International Conference on Intelligent Computer Communication and …, 2015 | 8 | 2015 |
Local information statistics of lbp and hog for pedestrian detection R Brehar, S Nedevschi 2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013 | 8 | 2013 |
Object recognition in WIKImage data based on local invariant image features N Tomačev, D Pracner, R Brehar, M Radovanoviæ, D Mladeniæ, ... 2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013 | 7 | 2013 |
A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features R Brehar, S Nedevschi 2011 IEEE 7th International Conference on Intelligent Computer Communication …, 2011 | 7 | 2011 |
A study of the impact of HOG and LBP based temporal association on far infrared pedestrian detection R Brehar, C Vancea, F Oniga, M Negru, S Nedevschi 2016 IEEE 12th International Conference on Intelligent Computer …, 2016 | 6 | 2016 |
Pillars detection for side viewed vehicles R Brehar, S Nedevschi, L Dăian Proceedings of the 2010 IEEE 6th International Conference on Intelligent …, 2010 | 5 | 2010 |
A deep learning approach for pedestrian segmentation in infrared images R Brehar, F Vancea, T Marița, S Nedevschi 2018 IEEE 14th International Conference on Intelligent Computer …, 2018 | 4 | 2018 |
SIM, a Semantic Instrumentation and Monitoring solution for large scale reasoning systems I Toma, M Chezan, R Brehar, S Nedevschi, D Fensel Intelligent Computer Communication and Processing (ICCP), 151-156, 2011 | 4 | 2011 |