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Sorin Valcan
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2020 – today
- 2024
- [c10]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 - [c9]Dávid Nevezi-Strango, Daniel Grosu, Sorin Valcan:
The Development of an Application-Specific Instruction Set Processor Specialized on a Convolutional Neural Network Trained on MNIST. ICCCI (CCIS Volume 1) 2024: 94-105 - 2023
- [c8]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 - [c7]Sorin Valcan, Mihail Gaianu:
Convolutional Neural Networks For Eye Detection Trained With Manually And Automatically Generated Ground Truth Data. SYNASC 2023: 230-235 - [c6]Marius-Mihai Budurean, Danut Rotar, Sorin Valcan, Mihail Gaianu:
LLVM RISC-V Target Backend Instruction for Reshape Operator. SYNASC 2023: 241-245 - [c5]Dávid Nevezi-Strango, Danut Rotar, Sorin Valcan, Mihail Gaianu:
Maxpool operator for RISC-V processor. SYNASC 2023: 246-250 - 2022
- [j2]Sorin Valcan, Mihail Gaianu:
CUDA Implementation For Eye Location On Infrared Images. Scalable Comput. Pract. Exp. 23(1): 1-8 (2022) - [c4]Sorin Valcan, Mihail Gaianu:
Nostrils and Mouth Detection for Drivers Using Convolutional Neural Networks with Automatically Generated Ground Truth Data. CSCI 2022: 1497-1503 - [c3]Sorin Valcan, Mihail Gaianu:
Eye Detection For Drivers Using Convolutional Neural Networks With Automatically Generated Ground Truth Data. SYNASC 2022: 239-244 - 2021
- [j1]Sorin Valcan, Mihail Gaianu:
Ground Truth Data Generator for Eye Location on Infrared Driver Recordings. J. Imaging 7(9): 162 (2021) - [c2]Sorin Valcan:
Convolutional Neural Network Training System For Eye Location On Infrared Driver Recordings Using Automatically Generated Ground Truth Data. SYNASC 2021: 222-226 - 2020
- [c1]Sorin Valcan, Mihail Gaianu:
Lung Tumor Segmentation Accelerated by CUDA. SYNASC 2020: 246-250
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last updated on 2024-11-07 21:34 CET by the dblp team
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