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Personal profile
Research profile
Egor Bondarev is an Assistant Professor in the Video Coding and Architectures group of TU/e, focusing on research areas such as multi-modal sensor fusion, smart surveillance with multi-camera systems and photorealistic 3D reconstruction of environments.
Bondarev leads an internal research cluster on real-time data fusion from multi-modal sensors, integrating thermal, depth, laser and RGB information. This research cluster currently consists of five PhD students and a number of MSc students. Egor Bondarev is also involved in several European research projects and is currently a TU/e project leader in the large international projects PaSSANT, PS-CRIMSON and APPS. These projects all address the challenges of multi-modal multi-camera smart surveillance.
Bondarev is strongly focused on valorization and exploitation of the algorithms developed in the VCA group. He initiated and organized deployment of the developed vision technologies to ST Microelectronics (France), ViNotion (Netherlands), INRIA (France) and ProDrive (Netherlands).
As a lecturer, Bondarev responsible for the master’s degree course on Computer Vision and 3D Data Processing and also teaches the bachelor’s degree course Computation I. He has written and co-authored over 50 publications on real-time computer vision and image/3D processing algorithms.
Academic background
Egor Bondarev received his MSc degree in robotics and informatics from the State Polytechnic University (Belarus Republic) in 1997. In the four years after, he worked as an engineer at the Invention Machine Corp. In 2009, Bondarev obtained his PhD degree in Computer Science from Eindhoven University of Technology (TU/e). He then took on the position of Assistant Professor in the Video Coding Architectures (VCA) group at TU/e.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SMART ITEA191001: Spatial Modelling Analytics & Real-time Tracking
de With, P. H. N., Bondarau, E., Imbriaco, R., van der Hagen, D., Groot, H. G. J., D'Amicantonio, G., Liu, X. & Akdag, E.
1/01/20 → 30/10/23
Project: Research direct
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Interreg: PlAtform for innovative Security Solutions hArbours & Terminals
de With, P. H. N., Alkanat, T., Ghahremani, A. & Bondarau, E.
1/01/18 → 31/07/22
Project: Research direct
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Public Safety and Crisis Management Service Orchestration
de With, P. H. N., Imbriaco, R., Groot, H. G. J., Bondarau, E. & Willems, F. M. J.
1/09/16 → 31/03/20
Project: Research direct
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APPS
de With, P. H. N., Bondarau, E., Ghahremani, A. & Bergmans, J. W. M.
1/09/14 → 31/12/17
Project: Research direct
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Panorama
de With, P. H. N., Bondarau, E., van der Sommen, F., Zinger, S., Dubbelman, G. & Javan Hemmat, H.
1/04/12 → 31/12/15
Project: Research direct
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ARTS: An adaptive regularization training schedule for activation sparsity exploration
Zhu, Z., Pourtaherian, A., Waeijen, L., Bamberg, L., Bondarev, E. & Moreira, O., 4 Jan 2023, Proceedings - 2022 25th Euromicro Conference on Digital System Design, DSD 2022. Fabelo, H., Ortega, S. & Skavhaug, A. (eds.). Institute of Electrical and Electronics Engineers, p. 415-422 8 p. 9996686Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)1 Downloads (Pure) -
ARTS: An adaptive regularization training schedule for activation sparsity exploration
Zhu, Z., Pourtaherian, A., Waeijen, L. J. W., Bondarau, E. & Moreira, O., 1 Sept 2022. 8 p.Research output: Contribution to conference › Paper › Academic
Open AccessFile175 Downloads (Pure) -
Critical Vehicle Detection for Intelligent Transportation Systems
Akdag, E., Bondarau, E. & de With, P. N., Jan 2022, Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2022. Ploeg, J., Helfert, M., Berns, K. & Gusikhin, O. (eds.). SciTePress Digital Library, p. 165-171 7 p. (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Density-Guided Label Smoothing for Temporal Localization of Driving Actions
Alkanat, T., Akdag, E., Bondarau, E. & de With, P. H. N., 23 Aug 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022. Institute of Electrical and Electronics Engineers, p. 3173-3181 9 p. 9857209Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access1 Citation (Scopus) -
Floor-plan Generation from Noisy Point Clouds
Liu, X., Bondarau, E. & de With, P. H. N., 2022, (Accepted/In press) 2022 The 15th International Conference on Machine Vision (ICMV 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Prizes
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Best Lecturer EE department award 2017
Bondarau, Egor (Recipient), 2017
Prize: TU/e › Other › Scientific
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ITEA Award of Excellence 2020
Bondarau, Egor (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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15th International Conference on Machine Vision, ICMV 2022
Egor Bondarau (Organiser)
18 Nov 2022 → 20 Nov 2022Activity: Participating in or organising an event types › Conference › Scientific
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Innovation In Defence day: Enabling Navigation with Indoor Guidance using Map-based Awareness
Egor Bondarau (Speaker)
12 Apr 2022Activity: Talk or presentation types › Poster presentation › Professional
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Future of Harbour surveillance with Computer Vision
Egor Bondarau (Speaker)
23 Apr 2021Activity: Talk or presentation types › Invited talk › Professional
Courses
Press/Media
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Stereo camera makes soldier’s life safer
3/02/22
1 Media contribution
Press/Media: Public Engagement Activities
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Tracking down smugglers and refugees with ‘smart’ cameras
4/10/18
1 Media contribution
Press/Media: Expert Comment