GeoComp publications

Book

[B1] Cs. Benedek: ”Multi-level Bayesian Models for Environment Perception,” Springer International Publishing, 202 pages, ISBN 978-3-030-83654-2, 2022

Scientific journals

[J14] 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: 3.860* Open Access

[J13] 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: 4.321* Open Access

[J12] 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, paper no. 102767, 2022, IF: 7.672 Open Access

[J11] 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, paper no. 103193, 2021, IF: 2.920 Open Access

[J10] 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 Open Access

[J9] 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 Open Access

[J8] 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 Open Access

[J7] B. Nagy and Cs. Benedek: ”On-the-Fly Camera and Lidar Calibration,” Remote Sensing, vol 12, no. 7, article 1137, 2020, IF: 4.848 Open Access

[J6] 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, Open Access

[J5] 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

[J4] 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

[J3] 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

[J2] 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

[J1] 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

Book chapters

[B2] Cs. Benedek: "Multi-sensorial Environment Perception in Urban Environment," Robotics, Computer Vision and Intelligent Systems, Volume 1667 of the series Communications in Computer and Information Science, Springer pp. 1-24, 2022 Keynote talk paper at ROBOVIS 2020

[B1] A. Börcs, B. Nagy and Cs. Benedek: "Dynamic Environment Perception and 4D reconstruction using a Mobile Rotating Multi-beam Lidar sensor," Handling Uncertainty and Networked Structure in Robot Control, Volume 42 of the series Studies in Systems, Decision and Control, Springer, pp 153-180

International scientific conferences

[C34] Ö. Zováthi, B. Pálffy and Cs. Benedek: "Real-Time Vehicle Localization and Pose Tracking in High-Resolution 3D Maps", European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, Aug. 29 - Sept. 2, 2022

[C33] Y. Ibrahim, B. Nagy and Cs. Benedek: "Multi-view Based 3D Point Cloud Completion Algorithm for Vehicles", International Conference on Pattern Recognition (ICPR), Montreal, Canada, August 22-25, 2022

[C32] Y. Ibrahim, P. Szulovszky and Cs. Benedek: "Masonry Structure Analysis, Completion and Style Transfer Using a Deep Neural Network", International Workshop on Pattern Recognition for Cultural Heritage, Montreal, Canada, August 21, 2022, Lecture Notes in Computer Science

[C31] L. Kovács, M. Kégl and Cs. Benedek: "Real-Time Foreground Segmentation for Surveillance Applications in NRCS Lidar Sequences," XXIV ISPRS Congress, Nice, France, June 6-11, 2022, published by The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLIII-B1-2022, pp. 45–51

[C30] Y. Ibrahim, B. Nagy and Cs. Benedek: "A GAN-based Blind Inpainting Method for Masonry Wall Images", International Conference on Pattern Recognition (ICPR), Milan, Italy (virtual conference), 10-15 January 2021

[C29] Zs. Németh and Cs. Benedek: ”Automatic tumuli detection in LiDAR based digital elevation maps,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Proceedings of the XXIV ISPRS Congress, volume 2020,

[C28] Ö. Zováthi, B. Nagy and Cs. Benedek: "Exploitation of Dense MLS City Maps for 3D Object Detection", International Conference on Image Analysis and Recognition (ICIAR), Póvoa de Varzim, Portugal, (virtual conference), June 24-26, 2020, Lecture Notes in Computer Science, Springer, 2020

[C27] Ö. Zováthi, Lóránt Kovács, B. Nagy and Cs. Benedek: "Multi-object Detection in Urban Scenes Utilizing 3D Background Maps and Tracking", International Conference on Control, Artificial Intelligence, Robotics and Optimization (ICCAIRO), Athens, Greece, December 8-10, 2019, IEEE

[C26] B. Nagy, L.A. Kovács and Cs. Benedek: "SFM and Semantic Information Based Online Targetless Camera-Lidar Self-Calibration", IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September, 2019

[C25]] Y. Ibrahim, B. Nagy and Cs. Benedek: "CNN-based Watershed Marker Extraction for Brick Segmentation in Masonry Walls", International Conference on Image Analysis and Recognition (ICIAR), Waterloo, Canada, August 27-29, 2019, Lecture Notes in Computer Science, Springer, 2019

[C24] B. Nagy, L.A. Kovács and Cs. Benedek: "Online Targetless End-to-End Camera-LIDAR Self-calibration", International Conference on Machine Vision Applications (MVA), Tokyo, Japan, 27-31 May, 2019

[C23] B. Nagy and Cs. Benedek: "Real-Time Point Cloud Alignment for Vehicle Localization in a High Resolution 3D Map," Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving at ECCV, Munich, Germany, September 2018, vol. 11129 of Lecture Notes in Computer Science, pp. 226-239, Springer 2019

[C22] B. Gálai, and Cs. Benedek: "Change Detection in Urban Streets by a Real Time Lidar Scanner and MLS Reference data", International Conference on Image Analysis and Recognition (ICIAR), Montreal, Canada, July 5-7, 2017, vol. 10317 of Lecture Notes in Computer Science, pp. 210-220, Springer, 2017

[C21] B. Nagy, and Cs. Benedek: "3D CNN Based Phantom Object Removing from Mobile Laser Scanning Data", International Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska, USA, 14-19 May, 2017

[C20] B. Gálai, and Cs. Benedek: "Gait Recognition with Compact Lidar Sensors", International Conference on Computer Vision Theory and Applications (VISAPP), Porto, Portugal, 27 February - 1 March, 2017

[C19] B. Gálai, B. Nagy and C. Benedek: ”Crossmodal Point Cloud Registration in the Hough Space for Mobile Laser Scanning Data", International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016

[C18] B. Gálai and Cs. Benedek: "Feature selection for Lidar-based gait recognition", International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), Prague, Czech Republic, October 29-30, 2015

[C17] Cs. Benedek, B. Nagy, B. Gálai and Z. Jankó: "Lidar-based Gait Analysis in People Tracking and 4D Visualization", European Signal Processing Conference (EUSIPCO), Nice, France, August 31-September 4, 2015

[C16] A. Börcs, B. Nagy, M. Baticz and Cs. Benedek: "A Model-based Approach for Fast Vehicle Detection in Continuously Streamed Urban LIDAR Point Clouds," Workshop on Scene Understanding for Autonomous Systemsat ACCV, Singapore, November 2014, vol. 9008 of Lecture Notes in Computer Science, pp 413-425, Springer 2015

[C15] A. Börcs, B. Nagy and Cs. Benedek: "Fast 3-D Urban Object Detection on Streaming Point Clouds," Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving at ECCV, Zürich, Switzerland, September 2014, vol. 8926 of Lecture Notes in Computer Science, pp. 628-639, Springer 2015

[C14] Cs. Benedek, Z. Jankó, O. Józsa, I. Eichhardt, A. Börcs, D. Chetverikov and T. Szirányi:  "Mixed Reality using a Lidar and a 4D Studio," IEEE International Conference on Cognitive Infocommunications, Budapest, Hungary 2013

[C13] A. Börcs, B. Nagy and Cs. Benedek "On board 3D Object Perception in Dynamic Urban Scenes," IEEE International Conference on Cognitive Infocommunications, Budapest, Hungary 2013

[C12] D. Chetverikov , O. Józsa, and I. Eichhardt „ Automatic Alignment of Large 3D Data Sets for Facade Reconstruction from Car-Mounted LIDAR Measurements,” IEEE International Conference on Cognitive Infocommunications, Budapest, Hungary 2013

[C11] Cs. Benedek (as presenter): ”A Lidar-based 4D scene reconstruction system,” (abstract & lecture) SPAR Europe and European LiDAR Mapping Forum (ELMF), Amsterdam, The Netherlands, 2013

[C10] Cs. Benedek, Z. Jankó, Cs. Horváth, D. Molnár, D. Chetverikov and T. Szirányi: ”An Integrated 4D Vision and Visualisation System,” International Conference on Computer Vision Systems, St. Petersburg, Russia, vol. 7963 of Lecture Notes in Computers Science, pp. 21-30, Springer, 2013

[C9] A. Börcs, O. Józsa and Cs. Benedek: ”Object Extraction in Urban Environments from Large-Scale Dynamic Point Cloud Dataset,” IEEE International Workshop on Content-Based Multimedia Indexing (CBMI), Veszprém, Hungary, June 17-19, 2013

[C8] O. Józsa, A. Börcs and Cs. Benedek: ”Towards 4D Virtual City Reconstruction From Lidar Point Cloud Sequences,” ISPRS Workshop on 3D Virtual City Modeling, Regina, Saskatchewan, Canada, May 28-31, 2013, vol. II-3/W1 of ISPRS Annals of Photogrammetry, Remote Sensing and the Spatial Information Sciences pp. 15-20, 2013

[C7] Cs. Benedek, D. Molnár and T. Szirányi: ”A Dynamic MRF Model for Foreground Detection on Range Data Sequences of Rotating Multi-Beam Lidar,” International Workshop on Depth Image Analysis, Tsukuba City, Japan, November 2012, vol. 7854 Lecture Notes in Computers Science, pp. 87-96, Springer, 2013

[C6] J. Hapák, Z. Jankó, D. Chetverikov. GPU-Based Real-Time Spatio-Temporal Reconstruction Studio. In Proc. 28th Spring Conference on Computer Graphics, ACM, Smolenice, Slovakia, pp. 164-169, 2012.

[C5] J. Hapák, Z. Jankó, D. Chetverikov, "Real-Time 4D Reconstruction of Human Motion", Proc. 7th International Conference on Articulated Motion and Deformable Objects (AMDO 2012), Mallorca, Spain, vol. 7378 of Lecture Notes in Computer Science, Springer, pp. 250-259, 2012.

[C4] A. Börcs, Cs. Benedek: ”Urban traffic monitoring from aerial Lidar data with a Two-Level Marked Point Process Model, International Conference on Pattern Recognition (ICPR), Tsukuba City, Japan, 2012

[C3] C. Blajovici, D. Chetverikov, Z. Jankó, ”4D Studio for Future Internet: Improving Foreground-Background Segmentation”, IEEE International Conference on Cognitive Infocommunications, Kosice, Slovakia, 2012

[C2] D. Chetverikov, L. Hajder, Z. Jankó, C. Kazó, J. Hapák ”Multiview 3D-4D Reconstruction at MTA SZTAKI”, IEEE International Conference on Cognitive Infocommunications, Kosice, Slovakia, 2012

[C1] A. Börcs, Cs. Benedek: A Marked Point Process Model for Vehicle Detection in Aerial Lidar Point Clouds, XXII ISPRS Congress, Melbourne, Australia, 2012, Volume I-3 of ISPRS Annals of Photogrammetry, Remote Sensing and the Spatial Information Sciences, pp. 93-98

Patent

[P1-US] Cs. Benedek, Z. Jankó, T. Szirányi, D. Csetverikov, O. Józsa, A. Börcs and I. Eichardt, "Method And System For Generating A Three-Dimensional Model", US Patent, No. US20160093101 A1, March 31, 2016

International public press

[S1] Cs. Benedek, Zs. Jankó, D. Chetverikov and T. Szirányi, "Mixed Reality by Understanding and Integrating Spatio-Temporal Data of a LIDAR and a 4D Studio", ERCIM News, no 95, pp 27-28

Internal research reports

[R5] Gy. Horváth and Cs. Benedek "Szenzorfúziós és objektumkövető eljárások Lidar méréssorozatok felhasználásával" SZTAKI Technical Report, 2020

[R4] Gy. Horváth and Cs. Benedek "Környezetelemzés kompakt lézerszkennerekkel" SZTAKI Technical Report, 2018

[R3] Cs. Benedek, Z. Jankó, D. Molnár, Cs. Horváth, D. Chetverikov and T. Szirányi: "4D Scene Reconstruction in Multi-Target Scenarios," MTA SZTAKI Research Report, No. i4D-3, June 2013

[R2] 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

[R1] O. Józsa and Cs. Benedek: "Reconstruction of 3D Urban Scenes Based on a Moving Lidar Sensor," MTA SZTAKI Research Report, No. i4D-1, January 2013

In Hungarian scientific conferences

[H12] B. Gálai and Cs. Benedek: "Járás alapú személyazonosítás és cselekvésfelismerés LiDAR szenzorokkal" Conference of Hungarian Association for Image Analysis and Pattern Recognititon, Sovata, Romania, January 2017. Note: in Hungarian

[H11] B. Nagy, B. Gálai and Cs. Benedek: "Multimodális pontfelhőregisztráció Hough tér alapú előillesztéssel" Conference of Hungarian Association for Image Analysis and Pattern Recognititon, Sovata, Romania, January 2017. Note: in Hungarian

[H10] A. Börcs, B. Nagy and Cs. Benedek: "Utcai objektumok gyors osztályozása LIDAR pontfelhősorozatokon" Conference of Hungarian Association for Image Analysis and Pattern Recognititon, Sovata, Romania, January 2017. Note: in Hungarian

[H9] A. Börcs, B. Nagy and Cs. Benedek:  "Valós idejű járműdetekció LIDAR pontfelhő sorozatokon (Real time vehicle detection in LIDAR point cloud sequences)," Conference of Hungarian Association for Image Analysis and Pattern Recognititon, Kerekegyháza, Hungary, January 2015. Note: in Hungarian, received Kuba Attila prize

[H8] Cs. Benedek:  "Hierarchikus jelölt pontfolyamat modell objektumpopulációk többszintű elemzéséhez (Hierarchical marked point process model for multi-level object population analysis)," Conference of Hungarian Association for Image Analysis and Pattern Recognititon, Kerekegyháza, Hungary, January 2015. Note: in Hungarian

[H7] B. Nagy, Cs. Benedek and Z. Jankó:  "Mozgó személyek követése és 4D vizualizációja Lidar alapú járáselemzéssel (Moving people tracking and 4D visualization through Lidar-based gait analysis)," Conference of Hungarian Association for Image Analysis and Pattern Recognititon, Kerekegyháza, Hungary, January 2015. Note: in Hungarian

[H6] P. Polcz and Cs. Benedek:  "3D mesh generation from aerial LiDAR point cloud data," Hungarian Computer Graphics and Geometry Conference (GRAFGEO), Budapest, Hungary 2014

[H5] C. Blajovici, D. Chetverikov, Z. Jankó, "Enhanced Object Segmentation in a 4D Studio", Conference of Hungarian Association for Image Analysis and Pattern Recognititon (KÉPAF) , Bakonybél, Hungary, 2013

[H4] Börcs A. és Benedek Cs. "Városi forgalomfelügyelet kétszintű jelölt pontfolyamat modellel légi LiDAR felvételeken", Conference of Hungarian Association for Image Analysis and Pattern Recognititon (KÉPAF), Bakonybél, Hungary, 2013, in Hungarian

[H3] Horváth Cs., Molnár D., Benedek Cs. és Szirányi T. "MRF alapú előtérdetekció és objektumkövetés Lidar pontfelhőszekvenciákon" Conference of Hungarian Association for Image Analysis and Pattern Recognititon (KÉPAF), Bakonybél, Hungary, 2013 in Hungarian

[H2] O. Józsa and Cs. Benedek, "Analysis of 3D Dynamic Urban Scenes Based on LiDAR Point Cloud Sequences", Conference of Hungarian Association for Image Analysis and Pattern Recognititon (KÉPAF), Bakonybél, Hungary, 2013

[H1] Z. Jankó, D. Chetverikov and J. Hapák, ”4D Reconstruction Studio: Creating dynamic 3D models of moving actors”, Hungarian Computer Graphics and Geometry Conference (GRAFGEO) , Budapest, Hungary, 2012