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Publicatii

Books

2024

 

S. Nedevschi, D. Mitrea (Eds.), “Deep Learning for Pathology Detection and Diagnosis in Medical Imaging”, A special issue of Sensors (ISSN 1424-8220), MDPI, 2024, ISBN 973-3-7258-2041-2

 

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

 

S. Nedevschi, R. Potolea, R. Slavescu (Eds), 2023 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING, Publisher IEEE, 2023, 979-8-3503-7035-5

 

2022
S. Nedevschi, R. Potolea, R. Slavescu (Eds), 2022 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING, Publisher IEEE, 2022, ISBN 978-1-6654-6437-6

Papers in ISI Journals

2024

V. C. Miclea, S. Nedevschi, “Dynamic Semantically Guided Monocular Depth Estimation for UAV Environment Perception”, IEEE Transactions on Geoscience and Remote Sensing, 62,5605111, pp. 1-11, 2024

 

V. Chiciudean, H. Flora, Z. Blaga, R. Beche, F. Oniga, S. Nedevschi, Data Augmentation for Environment Perception with Unmanned Aerial Vehicles, IEEE Transactions on Intelligent Vehicles, 2024


Z. Blaga, S. Nedevschi, “Semantic Segmentation of Remote Sensing Images with Transformer-Based U-Net and Guided Focal-Axial Attention”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024


H. Florea, S. Nedevschi, “TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs”, submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024


Z. Blaga, S. Nedevschi, “Improving Counting Accuracy in Post-Disaster Visual Question Answering for Remote Sensing”, submitted to IEEE Transactions on Geoscience and Remote Sensing, 2024


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

 

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

2024

Andra Petrovai, Vlad-Cristian Miclea, Sergiu Nedevschi, “Depth-aware Panoptic Segmentation with Mask Transformers and Panoptic Bins for Autonomous Driving”, Proceedings of 2024 IEEE ITSC, Edmonton, Canada September 24-27, 2024.

 

Vlad-Cristian Miclea, Andra Petrovai, Sergiu Nedevschi, “SemBins: Semantic Bins for Monocular Depth Estimation in Aerial Scenarios”, Proceedings of 2024 IEEE ITSC, Edmonton, Canada September 24-27, 2024.


V. Chiciudean, H. Florea, F. Oniga and S. Nedevschi, “Localization and Change Detection Through Aerial Environment Perception”, Proceedings of 2024 IEEE ICCP, October 17-19, 2024.


Z. Blaga, S. Nedevschi, “Improving VQA Counting Accuracy for Post-Flood Damage Assessment”, Proceedings of 2024 IEEE ICCP, October 17-19, 2024.


O. Morar, A. Petrovai, ”Training-free Open-vocabulary Segmentation of Aerial Drone Images using Foundation Models”, Proceedings of 2024 IEEE ICCP, October 17-19, 2024.


D.S. Bacea, F. Oniga, ECF-YOLOv7-tiny: Improving feature fusion and the receptive field for lightweight object detectors, acceptat la Winter Conference on Applications of Computer Vision (WACV), Feb 28 – Mar 4 Tucson, Arizona, 2025 (conferinta de tip A) 

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