Artykuły udostępnione publicznie: - George BebisWięcej informacji
Dostępne w jakimś miejscu: 26
Informative joints based human action recognition using skeleton contexts
M Jiang, J Kong, G Bebis, H Huo
Signal Processing: Image Communication 33, 29-40, 2015
Upoważnienia: National Natural Science Foundation of China
Automatic crater detection using convex grouping and convolutional neural networks
E Emami, G Bebis, A Nefian, T Fong
Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015
Upoważnienia: US National Aeronautics and Space Administration
Low-resolution face recognition with single sample per person
Y Chu, T Ahmad, G Bebis, L Zhao
Signal Processing 141, 144-157, 2017
Upoważnienia: National Natural Science Foundation of China
An edge-less approach to horizon line detection
T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong
2015 IEEE 14th international conference on machine learning and applications …, 2015
Upoważnienia: US National Aeronautics and Space Administration
Iterative tensor voting for perceptual grouping of ill-defined curvilinear structures
LA Loss, G Bebis, B Parvin
IEEE Transactions on Medical Imaging 30 (8), 1503-1513, 2011
Upoważnienia: US National Institutes of Health
Crater detection using unsupervised algorithms and convolutional neural networks
E Emami, T Ahmad, G Bebis, A Nefian, T Fong
IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5373-5383, 2019
Upoważnienia: US National Aeronautics and Space Administration
Genetic feature selection for gait recognition
F Tafazzoli, G Bebis, S Louis, M Hussain
Journal of Electronic Imaging 24 (1), 013036-013036, 2015
Upoważnienia: US National Aeronautics and Space Administration
Symbolic road marking recognition using convolutional neural networks
T Ahmad, D Ilstrup, E Emami, G Bebis
2017 IEEE intelligent vehicles symposium (IV), 1428-1433, 2017
Upoważnienia: US National Science Foundation, US National Aeronautics and Space Administration
Comparison of semantic segmentation approaches for horizon/sky line detection
T Ahmad, P Campr, M Čadik, G Bebis
2017 International joint conference on neural networks (IJCNN), 4436-4443, 2017
Upoważnienia: US National Science Foundation, US National Aeronautics and Space …
A novel method for cancer subtyping and risk prediction using consensus factor analysis
D Tran, H Nguyen, U Le, G Bebis, HN Luu, T Nguyen
Frontiers in Oncology 10, 1052, 2020
Upoważnienia: US National Institutes of Health, US National Aeronautics and Space …
Algebraic iterative reconstruction-reprojection (AIRR) method for high performance sparse-view CT reconstruction
AP Yazdanpanah, EE Regentova, G Bebis
Appl. Math 10 (6), 1-8, 2016
Upoważnienia: US National Aeronautics and Space Administration
Fusion of edge-less and edge-based approaches for horizon line detection
T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong
2015 6th International conference on information, intelligence, systems and …, 2015
Upoważnienia: US National Aeronautics and Space Administration
A compact task representation for hierarchical robot control
L Fraser, B Rekabdar, M Nicolescu, M Nicolescu, D Feil-Seifer, G Bebis
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
Upoważnienia: US National Aeronautics and Space Administration
Effective face recognition using bag of features with additive kernels
S Yang, G Bebis, Y Chu, L Zhao
Journal of Electronic Imaging 25 (1), 013025-013025, 2016
Upoważnienia: National Natural Science Foundation of China
Real-time horizon line detection based on fusion of classification and clustering
AP Yazdanpanah, EE Regentova, V Muthukumar, G Bebis
International Journal of Computer Applications 121 (10), 2015
Upoważnienia: US National Aeronautics and Space Administration
Automatic segmentation and quantification of filamentous structures in electron tomography
LA Loss, G Bebis, H Chang, M Auer, P Sarkar, B Parvin
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
Upoważnienia: US National Institutes of Health
Horizon line detection using supervised learning and edge cues
T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong
Computer Vision and Image Understanding 191, 102879, 2020
Upoważnienia: US National Science Foundation, US National Aeronautics and Space Administration
Coupling dynamic programming with machine learning for horizon line detection
T Ahmad, G Bebis, E Regentova, A Nefian, T Fong
International Journal on Artificial Intelligence Tools 24 (4), 1540018, 2015
Upoważnienia: US National Aeronautics and Space Administration
Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries using VIIRS Satellite Data
M Badhan, K Shamsaei, H Ebrahimian, G Bebis, NP Lareau, E Rowell
Remote Sensing 16 (4), 715, 2024
Upoważnienia: US National Science Foundation
On crater verification using mislocalized crater regions
E Emami, G Bebis, A Nefian, T Fong
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1098-1104, 2017
Upoważnienia: US National Aeronautics and Space Administration
Informacje na temat publikacji i finansowania automatycznie określa program komputerowy