Vlad-Cristian Miclea

Orcid: 0000-0002-5781-5433

Affiliations:
  • Technical University of Cluj-Napoca, Department of Computer Science, Romania


According to our database1, Vlad-Cristian Miclea authored at least 20 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
AI-Powered Smart Cart: Enhancing Retail Efficiency with Deep Learning and Edge Computing.
Proceedings of the 2025 5th International Conference on Electrical, 2025

Semantic Reconstruction and Infrared Anomaly Detection in ADAS Perception Systems.
Proceedings of the 21st IEEE International Conference on Intelligent Computer Communication and Processing, 2025

Face Recognition System using Fully Homomorphic Encryption.
Proceedings of the 21st IEEE International Conference on Intelligent Computer Communication and Processing, 2025

2024
Dynamic Semantically Guided Monocular Depth Estimation for UAV Environment Perception.
IEEE Trans. Geosci. Remote. Sens., 2024

Depth-Aware Panoptic Segmentation with Mask Transformers and Panoptic Bins for Autonomous Driving.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

SemBins: Semantic Bins for Monocular Depth Estimation in Aerial Scenarios.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2022
Monocular Depth Estimation With Improved Long-Range Accuracy for UAV Environment Perception.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Approaching the Semantic Segmentation in Medical Problems: A Solution for Pneumothorax Detection.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

WildUAV: Monocular UAV Dataset for Depth Estimation Tasks.
Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

2020
Real-Time Semantic Segmentation-Based Stereo Reconstruction.
IEEE Trans. Intell. Transp. Syst., 2020

A unified method for improving long-range accuracy of stereo and monocular depth estimation algorithms.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

SGM-MDE: Semi-global optimization for classification-based monocular depth estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018
Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Real-time Stereo Reconstruction Failure Detection and Correction using Deep Learning.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Semantic segmentation-based traffic sign detection and recognition using deep learning techniques.
Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018

2017
Semantic segmentation-based stereo reconstruction with statistically improved long range accuracy.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Improving stereo reconstruction by sub-pixel correction using histogram matching.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Optimizing Census-based Semi Global Matching by genetic algorithms.
Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

2015
New sub-pixel interpolation functions for accurate real-time stereo-matching algorithms.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

2014
Speeding-up polynomial multiplication on Virtex FPGAs: Finding the best addition method.
Proceedings of the IEEE International Conference on Automation, 2014


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