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2020 – today
- 2021
[c6]Selma Deac, Flaviu Ionut Vancea, Sergiu Nedevschi:
MVGNet: 3D object detection using Multi-Volume Grid representation in urban traffic scenarios. ICCP 2021: 101-108- 2020
- [j1]Raluca Brehar
, Delia Alexandrina Mitrea, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor Platon, Magda Rotaru, Radu Badea:
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors 20(11): 3085 (2020)
2010 – 2019
- 2019
- [c5]Raluca Brehar, Flaviu Ionut Vancea, Tiberiu Marita, Cristian Vancea, Sergiu Nedevschi:
Object Detection in Monocular Infrared Images Using Classification - Regresion Deep Learning Architectures. ICCP 2019: 207-212 - [c4]Flaviu Ionut Vancea, Delia Mitrea, Sergiu Nedevschi, Magda Rotaru, Horia Stefanescu, Radu Badea:
Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks. ICCP 2019: 483-490 - 2018
- [c3]Raluca Brehar, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi:
A Deep Learning Approach For Pedestrian Segmentation In Infrared Images. ICCP 2018: 253-258 - [c2]Flaviu Ionut Vancea, Sergiu Nedevschi:
Semantic information based vehicle relative orientation and taillight detection. ICCP 2018: 259-264 - 2017
- [c1]Flaviu Ionut Vancea, Arthur Daniel Costea, Sergiu Nedevschi:
Vehicle taillight detection and tracking using deep learning and thresholding for candidate generation. ICCP 2017: 267-272
Coauthor Index
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