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Raluca Brehar
Titlu
Citat de
Citat de
Anul
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
532020
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
332011
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
222014
Pedestrian detection in infrared images using aggregated channel features
R Brehar, C Vancea, S Nedevschi
2014 IEEE 10th International Conference on Intelligent Computer …, 2014
222014
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
212021
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
182013
An offline system for handwritten signature recognition
I Barbantan, C Vidrighin, R Borca
2009 IEEE 5th International Conference on Intelligent Computer Communication …, 2009
172009
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
122019
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
122019
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
122012
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
112014
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
112011
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
82015
Local information statistics of lbp and hog for pedestrian detection
R Brehar, S Nedevschi
2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013
82013
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
72013
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
72011
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
62016
Pillars detection for side viewed vehicles
R Brehar, S Nedevschi, L Dăian
Proceedings of the 2010 IEEE 6th International Conference on Intelligent …, 2010
52010
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
42018
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
42011
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