Publications
Books
2023
S. Nedevschi, T. Marita, Radu Danescu, F. Oniga, R. Brehar, I. Giosan, C. Vancea, R. Varga, Image Processing – Laboratory Works, UT Press, Cluj-Napoca, 2023, ISBN 978-606-737-626-5
S. Nedevschi, R. Varga, F. Oniga, R. Brehar, I. Giosan, A. Petrovai, Pattern Recognition Systems - Laboratory Works, UT Press, Cluj-Napoca, 2023, ISBN 978-606-737-637-1
Papers in ISI Journals
2023
Dan-Sebastian Bacea and Florin Oniga, "Single Stage Architecture for Improved Accuracy Real-Time Object Detection on Mobile Devices", published in Image and Vision Computing, Vol 130, 2023, FEB
V.C. Miclea, S. Nedevschi, ”Dynamic Semantically Guided Monocular Depth Estimation for UAV Environment Perception”, accepted at TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023 DEC
V. Chiciudean, H. Florea, Z. Blaga, F. Oniga, S. Nedevschi, “Data Augmentation for Environment Perception with Unmanned Aerial Vehicles”, submittted to IEEE Transactions on Intelligent Vehicles
S. Deac, S. Nedevschi, “C3AFnet: Improving Anchor Free 3d Object Detection through additional Objects’ Center Context and Class-aware Attention”, submitted to Image and Vision Computing.
2022
Dan-Sebastian Bacea and Florin Oniga, "Single Stage Architecture for Improved Accuracy Real-Time Object Detection on Mobile Devices", submitted to Image and Vision Computing, 2023
Conference Papers
2023
A. Petrovai, S. Nedevschi, “MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation”, Proceedings of 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, pp. 3076-3085
M.P. Muresan, R. Danescu, S. Nedevschi, “Multi-Object Tracking, Segmentation and Validation in Thermal Images”, Proceedings of IEEE Intelligent Vehicles Symposium, Anchorage, Alaska, SUA, 04-07 June, 2023
V. Chiciudean, R. Beche, Z. Blaga, F. Oniga and S. Nedevschi, “Static Mesh Enrichment with Dynamic Entities for Training Sets Generation”, Proceedings of 19th 2023 IEEE ICCP, 24-26 October, 2023
P. Cobarzan, C. Golban, S. Nedevschi, “Accuracy vs speed trade-offs in multi-frame LiDAR-based linear correction for visual odometry”, Proceedings of 19th 2023 IEEE ICCP, 24-26 October, 2023
S. Bacea, FR. Oniga, “Road Marking Real-Time Detection with a Single Stage Object Detector”, Proceedings of 19th 2023 IEEE ICCP, 24-26 October, 2023
2022
A.Petrovai, S. Nedevschi, “MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation”, accepted at Winter Conference on Applications of Computer Vision 2023,
A. Petrovai, S. Nedevschi, “Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June 19-24, 2022, pp. 1578-1588
C.P. Cobarzan, C.C. Golban, S. Nedevschi, “Noise tolerance of linear vs non-linear LiDAR based ego-motion drift correction methods”, Proceedings of 2022 IEEE ICCP, 22-24 September, 2022, pp. 183-188
B. Maxim, S. Nedevschi, “aSDF: Reconstructing Real-Time Signed Distance Fields with Enhanced Attention”, Proceedings of 2022 IEEE ICCP, 22-24 September, 2022, pp. 189-207
H. Florea, S. Nedevschi, “Survey on Monocular Depth Estimation for Unmanned Aerial Vehicles using Deep Learning”, Proceedings of 2022 IEEE ICCP, 22-24 September, 2022, pp. 319-326
Vlad-Cristian Miclea, Sergiu Nedevschi, Temporal Attention for Monocular Depth Estimation in Aerial Scenarios, Proc. of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 16-18 November 2022, Maldives