Publication list of Csaba Benedek

    Copyright note: Genuine version of the articles can be downloaded from the publisher sites, such as IEEE Xploreor ScienceDirect . Author manuscripts are partially available at the SZTAKI Publication Repository .

    Book

    Journal papers

    • [J25]L. Kovács, B.M. Bódis and Cs. Benedek: ”LidPose: Real-Time 3D Human Pose Estimation in Sparse Lidar Point Clouds with Non-Repetitive Circular Scanning Pattern,” Sensors, vol. 25, no. 11, article 3427, 2024, IF: 3.4*, SJR Q1* Open Access

    • [J24]Y. Ibrahim and Cs. Benedek: ”MVPCC-Net: Multi-View Based Point Cloud Completion Network for MLS Data,” Image and Vision Computing, Elsevier, vol. 134, article 104675, 2023, IF: 4.2, SJR Q1 Open Access

    • [J23]Ö. Zováthi, B. Pálffy, Zs. Jankó and Cs. Benedek: ”ST-DepthNet: A spatio-temporal deep network for depth completion using a single non-repetitive circular scanning Lidar,” IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3270-3277, 2023, IF: 4.6, SJR D1 Open Access

    • [J22]Ö. Zováthi, B. Nagy and Cs. Benedek: ”Point Cloud Registration and Change Detection in Urban Environment Using an Onboard Lidar Sensor and MLS Reference Data,” International Journal of Applied Earth Observation and Geoinformation, Elsevier, vol. 110, article 102767, 2022, IF: 7.5, SJR D1 Open Access

    • [J21]Cs. Benedek, A. Majdik, B. Nagy, Z. Rózsa and T. Szirányi: ”Positioning and Perception in LIDAR point clouds,” Digital Signal Processing: A Review Journal, Elsevier, vol. 119, article 103193, 2021, IF: 2.920, SJR Q1 Open Access

    • [J20]B. Nagy, L. Kovács and Cs. Benedek: ”ChangeGAN: A deep network for change detection in coarsely registered point clouds,” IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8277 - 8284, 2021, IF: 4.321, SJR D1 Open Access

    • [J19] Y. Ibrahim, B. Nagy and Cs. Benedek: ”Deep Learning-based Masonry Wall Image analysis,” Remote Sensing, vol. 12, no. 23, article 3918, 2020, IF: 4.848, SJR Q1 Open Access

    • [J18] S. Taoufiq, B. Nagy and Cs. Benedek: ”HierarchyNet: Hierarchical CNN-based Urban Building Classification,” Remote Sensing, vol. 12, no. 22, article 3794, 2020, IF: 4.848, SJR Q1 Open Access

    • [J17] B. Nagy and Cs. Benedek: ”On-the-Fly Camera and Lidar Calibration,” Remote Sensing, vol 12, no. 7, article 1137, 2020, IF: 4.848, SJR Q1 Open Access

    • [J16] B. Nagy and Cs. Benedek: ”3D CNN Based Semantic Labeling Approach for Mobile Laser Scanning Data,” IEEE Sensors Journal, vol. 19, no. 21, pp. 10034 - 10045, 2019, IF: 3.073, SJR Q1 Open Access

    • [J15] Cs. Benedek, B. Gálai, B. Nagy and Z. Jankó: ”Lidar-based Gait Analysis and Activity Recognition in a 4D Surveillance System,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 101-113, 2018, IF: 4.046, SJR D1

    • [J14] Cs. Benedek: "An Embedded Marked Point Process Framework for Three-Level Object Population Analysis", IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4430-4445, 2017, IF: 5.071

    • [J13] A. Börcs, B. Nagy and Cs. Benedek: "Instant Object Detection in Lidar Point Clouds", IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 7, pp. 992 - 996, 2017, IF: 2.892

    • [J12] Cs. Benedek, M. Shadaydeh, Z. Kato, T. Szirányi and J. Zerubia, ”Multilayer Markov Random Field Models for Change Detection in Optical Remote Sensing Images,” ISPRS Journal of Photogrammetry and Remote Sensing vol. 107, pp. 22-37, 2015, IF: 4.188 -

    • [J11] A. Börcs and Cs. Benedek, ”Extraction of Vehicle Groups in Airborne Lidar Point Clouds with Two-Level Point Processes,” IEEE Trans. on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1475-1489, 2015, IF: 3.360

    • [J10] Cs. Benedek, ”3D People Surveillance on Range Data Sequences of a Rotating Lidar,” Pattern Recognition Letters, Special Issue on Depth Image Analysis, vol. 50, pp. 149–158, 2014, IF: 1.551

    • [J9] Cs. Benedek and M. Martorella, ”Moving Target Analysis in ISAR Image Sequences with a Multiframe Marked Point Process Model,” IEEE Trans. on Geoscience and Remote Sensing, vol. 52, no. 4, pp. 2234 - 2246, 2014, IF: 3.514

    • [J8] Cs. Benedek, O. Krammer, M. Janóczki and L. Jakab: ”Solder Paste Scooping Detection by Multi-Level Visual Inspection of Printed Circuit Boards”, IEEE Trans. on Industrial Electronics, vol. 60, no. 6, pp. 2318 - 2331, 2013, IF: 6.500 -

    • [J7] Á. Utasi and Cs. Benedek, ”A Bayesian Approach on People Localization in Multi-Camera Systems,” IEEE Trans. on Circuits and Systems for Video Technology, vol 23, no. 1, pp. 105-115, 2013, IF: 2.259

    • [J6] Cs. Benedek, X. Descombes and J. Zerubia: ”Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics”, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 34, no. 1, pp. 33-50, 2012, IF: 4.795 spotlight paper of the issue

    • [J5] Cs. Benedek, ”Detection of Soldering Defects in Printed Circuit Boards with Hierarchical Marked Point Processes,” Pattern Recognition Letters, vol. 32, no. 13, pp. 1535-1543, 2011, IF: 1.034

    • [J4] Cs. Benedek, T. Szirányi, Z. Kato and J. Zerubia: ”Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model”, IEEE Trans. on Image Processing, vol. 18, no. 10, pp. 2303-2315, 2009, IF: 2.848

    • [J3] Cs. Benedek and T. Szirányi: ”Change Detection in Optical Aerial Images by a Multi-Layer Conditional Mixed Markov Model”, IEEE Trans. on Geoscience and Remote Sensing, vol. 47, no. 10, pp. 3416-3430, 2009, IF: 2.234

    • [J2] Cs. Benedek and T. Szirányi: ”Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos”, IEEE Trans. on Image Processing, vol. 17, no. 4, pp. 608-621, 2008, IF: 3.315

    • [J1] Cs. Benedek and T. Szirányi: ”Study on Color Space Selection for Detecting Cast Shadows in Video Surveillance”, International Journal of Imaging Systems and Technology, Special Issue on Applied Color Image Processing, vol. 17, no. 3, pp. 190-201, Wiley, 2007, IF: 0.482

Book Chapters

In Conference Proceedings

Patent

Theses

Internal reports

    • [R5] Cs. Benedek, Zs. Jankó, D. Molnár, Cs. Horváth, D. Chetverikov and T. Szirányi: "4D Scene Reconstruction in Multi-Target Scenarios," MTA SZTAKI Research Report, No. i4D-3, January 2013

    • [R4] A. Börcs and Cs. Benedek: "Urban Traffic Monitoring from LIDAR Data with a Two-Level Marked Point Process Model," MTA SZTAKI Research Report, No. i4D-2, January 2013

    • [R3] O. Józsa and Cs. Benedek: "Reconstruction of 3D Urban Scenes Based with a Moving Lidar Sensor," MTA SZTAKI Research Report, No. i4D-2, January 2013

    • [R2] Cs. Benedek, X. Descombes and J. Zerubia, ”Building extraction and change detection in multitemporal aerial and satellite images in a joint stochastic approach”, Research Report 7143, INRIA Sophia Antipolis, France, December 2009

    • [R1] Cs. Benedek, T. Szirányi, Z . Kato and J. Zerubia , A three-layer MRF model for object motion detection in airborne images”, Research Report 6208 , INRIA Sophia Antipolis, France, June 2007

Miscellaneous (national conferences, abstracts, demo handouts)