Publications
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
D.S. Bacea and F. 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
D.S. Bacea and F. Oniga, "Single Stage Architecture for Improved Accuracy Real-Time Object Detection on Mobile Devices", submitted to Image and Vision Computing, 2023
Conference Papers
2024
A. Petrovai, V.C. Miclea, S. 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.
V.C. Miclea, A. Petrovai, S. 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.
V.-C. Miclea, S. Nedevschi, "SemanticAdaBins - Using Semantics to Improve Depth Estimation based on Adaptive Bins in Aerial Scenarios", Proceedings of 2024 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Noe. 4-6, 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, F. 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
Workshops
Semantic and Geometric Perception and Understanding (2024 IEEE ICCP Workshop)
A. Petrovai, S. Nedevschi, “Simultaneous Panoptic Segmentation and Monocular Depth Estimation for Automotive Applications”
H. Florea, S. Nedevschi, “Towards Metric Monocular Depth Estimation using Relative Models”
R. Beche, S. Nedevschi, “Urban Scene Reconstruction Using Neural Representations”
C. Budiul, S. Nedevschi, “Active Learning for 3D Object Detection: A Comparative Study”
D. Serban, T. Berinde, S. Grumazescu, A. Chiorean, "Video Perception for Online Map Generation"
O.A. Aldea, B. Vulsan "Enhanced Monocular Visual Odometry Through Self-Supervised Multi-Task Learning for Keypoints and Depth Estimation"
D. Bacea, F. Oniga, “Tiny Models, Big Impact: Real-time perception of the environment with lightweight object detectors”
Semantic and Geometric Visual Perception (2023 IEEE ICCP Workshop):
Vlad Cristian Miclea, Improving Supervised Monocular Depth Estimation for Aerial Scenarios
Lukács Elekes and Mihai Negru, Self-Supervised Keypoint Features Learning for Autonomous Driving Tasks
Horatiu Florea, Current Trends in Self-Supervised Monocular Depth Estimation
Radu Beche, Neural Radiance Fields in Environment Representation
Semantic and Geometric Perception and Understanding (2022 IEEE ICCP Workshop):
Semantic Understanding in Multitask Learning for Home Appliances
Authors: Vlad Negru, Robert Vacareanu, Camelia Lemnaru, Mihaela Dînşoreanu, Rodica Potolea
Towards Vision Intelligent Control: Approaches For Image Classification Based On Spatio-temporal Semantics
Authors: Raluca Brehar, Cristian Cosmin Vancea, Rodica Potolea, Sergiu Nedevschi
Semantic Learning From Business Process Data
Authors: Anca Mărginean
Review of Multi-Object Tracking Methods for Autonomous Systems
Authors: Mircea Paul Mureşan, Sergiu Nedevschi