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Emil Slusanschi
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Creating roadmaps in aerial images with generative adversarial networks and smoothing-based optimization
D Costea, A Marcu, E Slusanschi, M Leordeanu
Proceedings of the IEEE International Conference on Computer Vision …, 2017
592017
SafeUAV: Learning to estimate depth and safe landing areas for UAVs from synthetic data
A Marcu, D Costea, V Licaret, M Pîrvu, E Slusanschi, M Leordeanu
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
582018
Automatic differentiation of the general-purpose computational fluid dynamics package FLUENT
CH Bischof, HM Bücker, A Rasch, E Slusanschi, B Lang
362007
A multi-stage multi-task neural network for aerial scene interpretation and geolocalization
A Marcu, D Costea, E Slusanschi, M Leordeanu
arXiv preprint arXiv:1804.01322, 2018
312018
Efficient and accurate derivatives for a software process chain in airfoil shape optimization
CH Bischof, HM Bücker, B Lang, A Rasch, E Slusanschi
Future Generation Computer Systems 21 (8), 1333-1344, 2005
242005
Bounds for kullback-leibler divergence
PG Popescu, SS Dragomir, EI Sluşanschi, ON Stănăşilă
Electronic Journal of Differential Equations 2016, 2016
212016
Data hiding using steganography
MA Dagadita, EI Slusanschi, R Dobre
2013 IEEE 12th international symposium on parallel and distributed computing …, 2013
212013
Mapping data mining algorithms on a GPU architecture: a study
A Gainaru, E Slusanschi, S Trausan-Matu
Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011 …, 2011
202011
Sensitivity-based analysis of the k–ε model for the turbulent flow between two plates
A Bardow, CH Bischof, HM Bücker, G Dietze, R Kneer, A Leefken, ...
Chemical Engineering Science 63 (19), 4763-4775, 2008
192008
Practical shape optimization of a levitation device for single droplets
E Groß-Hardt, E Slusanschi, HM Bücker, A Pfennig, CH Bischof
Optimization and Engineering 9, 179-199, 2008
192008
Molecular Dynamics Simulations of DNA Adsorption on Graphene Oxide and Reduced Graphene Oxide-PEG-NH2 in the Presence of Mg2+ and Cl ions
S Muraru, CG Samoila, EI Slusanschi, JS Burns, M Ionita
Coatings 10 (3), 289, 2020
132020
Algorithmic differentiation of Java programs
EI Slusanschi
Aachen, Techn. Hochsch., Diss., 2008, 2008
132008
Semi-supervised learning for multi-task scene understanding by neural graph consensus
M Leordeanu, MC Pîrvu, D Costea, AE Marcu, E Slusanschi, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 1882-1892, 2021
112021
Roadmap generation using a multi-stage ensemble of deep neural networks with smoothing-based optimization
D Costea, A Marcu, E Slusanschi, M Leordeanu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
112018
ADiJaC--Automatic differentiation of Java classfiles
EI Sluşanschi, V Dumitrel
ACM Transactions on Mathematical Software (TOMS) 43 (2), 1-33, 2016
112016
A new upper bound for Shannon entropy. A novel approach in modeling of Big Data applications
PG Popescu, EI Sluşanschi, V Iancu, F Pop
Concurrency and Computation: Practice and Experience 28 (2), 351-359, 2016
112016
Delayed propagation of derivatives in a two-dimensional aircraft design optimization problem
HM Bücker, A Rasch, E Slusanschi, CH Bischof
Proceedings of the 17th Annual International Symposium on High Performance …, 2003
112003
A multi-stage multi-task neural network for aerial scene interpretation and geolocalization. arXiv 2018
A Marcu, D Costea, E Slusanschi, M Leordeanu
arXiv preprint arXiv:1804.01322, 2020
102020
Using the integrated gpu to improve cpu sort performance
G Lupescu, EI Sluşanschi, N Tăpuş
2017 46th International Conference on Parallel Processing Workshops (ICPPW …, 2017
92017
Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep learning
M Pirvu, V Robu, V Licaret, D Costea, A Marcu, E Slusanschi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
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