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Journal Articles
- 2022
[j5]Sorin Valcan, Mihail Gaianu:
CUDA Implementation For Eye Location On Infrared Images. Scalable Comput. Pract. Exp. 23(1): 1-8 (2022)- 2021
- [j4]Sorin Valcan
, Mihail Gaianu:
Ground Truth Data Generator for Eye Location on Infrared Driver Recordings. J. Imaging 7(9): 162 (2021) - 2016
- [j3]Pedro Real, Darian M. Onchis, Helena Molina-Abril, Mihail Gaianu:
Special issue on GeToHa. Pattern Recognit. Lett. 83: 1-2 (2016) - 2014
- [j2]Mihail Gaianu, Darian M. Onchis:
Face and marker detection using Gabor frames on GPUs. Signal Process. 96: 90-93 (2014) - 2013
- [j1]Mihail Gaianu, Gabriela Cristescu, Darian M. Onchis:
Erosion based Method for Quantification of Facial Palsy. Int. J. Comput. Commun. Control 8(3): 416-424 (2013)
Conference and Workshop Papers
- 2024
- [c15]Sorin Valcan, Mihail Gaianu:
Complete Convolutional Neural Networks Environment for Computer Vision Problems With Nvidia Drive AGX Xavier. ICCCI (CCIS Volume 1) 2024: 83-93 - 2023
- [c14]Alexandru Ionascu, Sebastian Stefaniga, Mihail Gaianu:
Synthetic Football Sprite Animations Learned Across the Pitch. ICCCI (CCIS Volume) 2023: 610-618 - [c13]Sorin Valcan, Mihail Gaianu:
Ground Truth Data Generator in Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations. ICCCI (CCIS Volume) 2023: 632-644 - [c12]Sorin Valcan, Mihail Gaianu:
Convolutional Neural Networks For Eye Detection Trained With Manually And Automatically Generated Ground Truth Data. SYNASC 2023: 230-235 - [c11]Marius-Mihai Budurean, Danut Rotar, Sorin Valcan, Mihail Gaianu:
LLVM RISC-V Target Backend Instruction for Reshape Operator. SYNASC 2023: 241-245 - [c10]Dávid Nevezi-Strango, Danut Rotar, Sorin Valcan, Mihail Gaianu:
Maxpool operator for RISC-V processor. SYNASC 2023: 246-250 - 2022
- [c9]Sorin Valcan, Mihail Gaianu:
Nostrils and Mouth Detection for Drivers Using Convolutional Neural Networks with Automatically Generated Ground Truth Data. CSCI 2022: 1497-1503 - [c8]Sorin Valcan, Mihail Gaianu:
Eye Detection For Drivers Using Convolutional Neural Networks With Automatically Generated Ground Truth Data. SYNASC 2022: 239-244 - 2020
- [c7]Sorin Valcan, Mihail Gaianu:
Lung Tumor Segmentation Accelerated by CUDA. SYNASC 2020: 246-250 - [c6]Ionut-Adrian Tarba, Mihail Gaianu, Sebastian-Aurelian Stefaniga:
The Driver's Attention Level. SYNASC 2020: 251-258 - 2019
- [c5]Debora Gil, Antonio Esteban-Lansaque, Sebastian Stefaniga, Mihail Gaianu, Carles Sánchez:
Data Augmentation from Sketch. UNSURE/CLIP@MICCAI 2019: 155-162 - [c4]Sebastian-Aurelian Stefaniga, Mihail Gaianu:
An Approach of Segmentation Method Using Deep Learning for CT Medical Images. SYNASC 2019: 273-279 - 2018
- [c3]Sebastian-Aurelian Stefaniga, Mihail Gaianu:
Face Detection and Recognition Methods using Deep Learning in Autonomous Driving. SYNASC 2018: 347-354 - 2017
- [c2]Sebastian-Aurelian Stefaniga, Mihail Gaianu:
Performance Analysis of Morphological Operation in CPU and GPU for Medical Images. SYNASC 2017: 377-384 - 2014
- [c1]Darian M. Onchis, Doina Frunzaverde, Mihail Gaianu, Relu Ciubotariu:
Multi-phase Identification in Microstructures Images Using a GPU Accelerated Fuzzy C-Means Segmentation. SYNASC 2014: 602-607
Coauthor Index
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last updated on 2024-10-23 21:21 CEST by the dblp team
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