Vlad-Cristian Miclea

My name is Vlad-Cristian Miclea and I am a Senior Lecturer at Technical University of Cluj-Napoca in the Computer Science Department.

I have studied at the Faculty of Automation and Computer Science, TUCN, between 2009 and 2013. In 2013, I have graduated as a Diploma Engineer in Computer Science, with the thesis "Cryptography on Reconfigurable Hardware", under the supervision of Prof. Dr. Eng. Octavian Cret.

In 2014 I received a MSc diploma in Fundamental Informatics, graduating from the Computer Science Department at Ecole Normale Superieure, Lyon, France. My diploma thesis "ProCoJuRi - A Processor Computing Just Right" was done under the supervision of Prof. Dr. Florent de Dinechin.

In 2021 I received the PhD degree in computer scence (title "Summa cum laude"). My thesis "Real-time Depth Perception Techniques using Machine Learning" was conducted under the supervision of Prof. Dr. Ing. Sergiu Nedevschi.

Since 2014 I'm a member of the Image Processing and Pattern Recognition Research Center (IPPRRC), where my main research topics are related to depth perception improvement by means of machiene learning and especially deep learning.

Since 2021 I am a Senior Lecturer at the Computer Science Department at TUCN, teaching subjects related to reconfigurable hardware: Logic Design, Digital System Design, Computer Architecture and Structure of Computing Systems. I have previously been an Assistant Professor (2019-2021) and a Teaching Assistent (2014-2019) for all these subjects.

ISI Journal Articles

• V. Miclea and S. Nedevschi, "Monocular Depth Estimation With Improved Long-Range Accuracy for UAV Environment Perception" in IEEE Transactions on Geoscience and Remote Sensing, Early Access, March 2021. I.F.: 5.855
• V. Miclea and S. Nedevschi, "Real-Time Semantic Segmentation-Based Stereo Reconstruction" in IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 4, pp. 1514-1524, April 2020. I.F.: 6.319

Awarded Articles

• V. Miclea and S. Nedevschi, "Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning" 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, 2018, pp. 300-306. Best Applicative Paper Award

ISI Proceedings Conference Articles

• V. Miclea and S. Nedevschi, "SGM-MDE: Semi-global optimization for classification-based monocular depth estimation" 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 10489-10496, Rank A conference.
• V. Miclea and S. Nedevschi, "A unified method for improving long-range accuracy of stereo and monocular depth estimation algorithms" 2020 IEEE Intelligent Vehicles Symposium (IV), Las Vegas, NV, USA, 2020, pp. 1234-1241.
• V. Miclea, L. Miclea and S. Nedevschi, "Real-time Stereo Reconstruction Failure Detection and Correction using Deep Learning" 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, 2018, pp. 1095-1102.
• C. Timbus, V. Miclea and C. Lemnaru, "Semantic segmentation-based traffic sign detection and recognition using deep learning techniques" 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, 2018, pp. 325-331.
• V. Miclea and S. Nedevschi, "Semantic segmentation-based stereo reconstruction with statistically improved long range accuracy" 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, 2017, pp. 1795-1802.
• V. Miclea and S. Nedevschi, "Optimizing Census-based Semi Global Matching by genetic algorithms" 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, 2016, pp. 193-198.
• C. Vancea, V. Miclea and S. Nedevschi, "Improving stereo reconstruction by sub-pixel correction using histogram matching" 2016 IEEE Intelligent Vehicles Symposium (IV), Gothenburg, 2016, pp. 335-341.
• V. Miclea, C. Vancea and S. Nedevschi, "New sub-pixel interpolation functions for accurate real-time stereo-matching algorithms" 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, 2015.
• V. Miclea, "Speeding-up polynomial multiplication on Virtex FPGAs: Finding the best addition method" 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, Cluj-Napoca, 2014, pp. 1-5

Workshop Articles at ISI Conferences

• V. Miclea, L. Miclea and S. Nedevschi, "Increasing the Robustness of Camera-based Depth Perception Methods for Objects at Large Distances" Fourth IEEE International Workshop on Automotive Reliability and Test (ART19), International Test Conference (ITC19), November 2019.
• V. Miclea and S. Nedevschi, "Real-time Simultaneous Object Detection and Depth Estimation" 3D Scene Understanding for Vision, Graphics, and Robotics Workshop, IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW), 2019 (rank A* conference).
• V. Miclea, L. Miclea and S. Nedevschi, "Increasing dependability of stereo reconstruction through deep learning" Third IEEE International Workshop on Automotive Reliability and Test (ART18), International Test Conference (ITC19), October 2018.