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ORCIDEgor Bondarev
Egor R. V. Bondarev
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2020 – today
- 2024
[c60]Zeqi Zhu
, Alberto García-Ortiz, Luc Waeijen, Egor Bondarev, Arash Pourtaherian, Orlando Moreira:
ELSE: Efficient Deep Neural Network Inference Through Line-Based Sparsity Exploration. ECCV (11) 2024: 412-431- [c59]D. Scholte, T. T. G. Urselmann, Matthijs H. Zwemer, Egor Bondarev, Peter H. N. de With:
Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models. VISIGRAPP (3): VISAPP 2024: 350-358 - [c58]Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. de With:
Automated Camera Calibration via Homography Estimation with GNNs. WACV 2024: 5864-5471 - [c57]Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Ibrahim Batuhan Akkaya, Egor Bondarev, Orlando Moreira:
CATS: Combined Activation and Temporal Suppression for Efficient Network Inference. WACV 2024: 8151-8160 - [i12]Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Detection of Object Throwing Behavior in Surveillance Videos. CoRR abs/2403.06552 (2024) - [i11]Erkut Akdag, Zeqi Zhu, Egor Bondarev, Peter H. N. de With:
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition. CoRR abs/2403.06577 (2024) - [i10]Tunç Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Density-Guided Label Smoothing for Temporal Localization of Driving Actions. CoRR abs/2403.06616 (2024) - [i9]Yiling Zhang, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos. CoRR abs/2410.05900 (2024) - 2023
- [c56]Xin Liu, Egor Bondarev, Peter H. N. de With:
DL-based floorplan generation from noisy point clouds. 3DIA 2023: 1-6 - [c55]Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Egor Bondarev, Orlando Moreira:
STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. CVPR Workshops 2023: 4554-4563 - [c54]Erkut Akdag, Zeqi Zhu, Egor Bondarev, Peter H. N. de With:
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition. CVPR Workshops 2023: 5453-5462 - [c53]Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Detection of object throwing behavior in surveillance videos. Image Processing: Algorithms and Systems 2023: 1-9 - [i8]Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. de With:
Automated Camera Calibration via Homography Estimation with GNNs. CoRR abs/2311.02598 (2023) - 2022
- [j8]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Toward Multilabel Image Retrieval for Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c52]Tunç Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Density-Guided Label Smoothing for Temporal Localization of Driving Actions. CVPR Workshops 2022: 3173-3181 - [c51]Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Lennart Bamberg, Egor Bondarev, Orlando Moreira:
ARTS: An adaptive regularization training schedule for activation sparsity exploration. DSD 2022: 415-422 - [c50]Sara Esam Azmi, Chris Bartels, Zill-e Hussnain, J. A. P. Guelen, Egor Bondarev:
Detection and correction of image distortions induced by parasitic light sensitivity using deep learning methods. ICMV 2022 - [c49]Xin Liu, Egor Bondarev, Peter H. N. de With:
Floor-plan generation from noisy point clouds. ICMV 2022 - [c48]Herman G. J. Groot, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Optimizing Train-Test Data for Person Re-Identification in Real-World Applications. ICMVA 2022: 67-75 - [c47]Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Critical Vehicle Detection for Intelligent Transportation Systems. VEHITS 2022: 165-171 - 2021
- [j7]Amir Ghahremani, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Maritime vessel re-identification: novel VR-VCA dataset and a multi-branch architecture MVR-net. Mach. Vis. Appl. 32(3): 71 (2021) - [j6]Matthijs H. Zwemer, Herman G. J. Groot, Rob G. J. Wijnhoven, Egor Bondarev, Peter H. N. de With:
Multi-Camera Vessel-Speed Enforcement by Enhancing Detection and Re-Identification Techniques. Sensors 21(14): 4659 (2021) - [c46]Xin Liu, Egor Bondarev, Sander R. Klomp, Joury Zimmerman, Peter H. N. de With:
Semantic 3D Indoor Reconstruction with Stereo Camera Imaging. 3D Imaging and Applications 2021: 1-7 - [c45]Tunç Alkanat, Herman G. J. Groot, Matthijs H. Zwemer, Egor Bondarev, Peter H. N. de With:
Towards Scalable Abnormal Behavior Detection in Automated Surveillance. AI4I 2021: 21-24 - [c44]Clint Sebastian, Raffaele Imbriaco, Panagiotis Meletis, Gijs Dubbelman, Egor Bondarev, Peter H. N. de With:
TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval. CVPR Workshops 2021: 4138-4146 - [c43]Oliver Tamas Kocsis, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Real-Time Vehicle Orientation Classification and Viewpoint-Aware Vehicle Re-Identification. Image Processing: Algorithms and Systems 2021 - 2020
- [j5]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Toward robust multitype and orientation detection of vessels in maritime surveillance. J. Electronic Imaging 29(3): 033015 (2020) - [c42]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Dual Embedding Expansion for Vehicle Re-identification. CVPR Workshops 2020: 2475-2484 - [c41]Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Multiscale Convolutional Descriptor Aggregation for Visual Place Recognition. Image Processing: Algorithms and Systems 2020 - [c40]Xin Liu, Herman G. J. Groot, Egor Bondarev, Peter H. N. de With:
Introducing Scene Understanding to Person Re-Identification using a Spatio-Temporal Multi-Camera Model. Image Processing: Algorithms and Systems 2020 - [c39]Raffaele Imbriaco, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Multi-Branch Convolutional Descriptors for Content-based Remote Sensing Image Retrieval. VISIGRAPP (5: VISAPP) 2020: 242-249 - [i7]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Adversarial Loss for Semantic Segmentation of Aerial Imagery. CoRR abs/2001.04269 (2020) - [i6]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery. CoRR abs/2004.07018 (2020) - [i5]Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Dual Embedding Expansion for Vehicle Re-identification. CoRR abs/2004.08665 (2020)
2010 – 2019
- 2019
- [j4]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Aggregated Deep Local Features for Remote Sensing Image Retrieval. Remote. Sens. 11(5): 493 (2019) - [c38]Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With:
Towards Parameter-Optimized Vessel Re-identification Based on IORnet. ICCS (5) 2019: 125-136 - [c37]Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Improving open-set person re-identification by statistics-driven gallery refinement. ICMV 2019: 114330V - [c36]Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With:
Multi-Class detection and orientation recognition of vessels in maritime surveillance. Image Processing: Algorithms and Systems 2019 - [c35]Herman G. J. Groot, Egor Bondarev, Peter H. N. de With:
Improving person re-identification performance by customized dataset and person detection. Image Processing: Algorithms and Systems 2019 - [c34]Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With:
LiDAR assisted large-scale privacy protection in street view cycloramas. Image Processing: Algorithms and Systems 2019 - [i4]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Towards Accurate Camera Geopositioning by Image Matching. CoRR abs/1903.05454 (2019) - [i3]Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With:
LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas. CoRR abs/1903.05598 (2019) - [i2]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Aggregated Deep Local Features for Remote Sensing Image Retrieval. CoRR abs/1903.09469 (2019) - 2018
- [c33]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Multi-Class Recognition using Noisy Training Data with a Self-Learning Approach. DICTA 2018: 1-8 - [c32]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Towards multi-class detection: a self-learning approach to reduce inter-class noise from training dataset. ICMV 2018: 110411M - [c31]Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Towards accurate camera geopositioning by image matching. ICMV 2018: 110411C - [c30]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Cascaded CNN Method for Far Object Detection in Outdoor Surveillance. SITIS 2018: 40-47 - [i1]Clint Sebastian, Bas Boom, Thijs van Lankveld, Egor Bondarev, Peter H. N. de With:
Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery. CoRR abs/1810.03570 (2018) - 2017
- [c29]Amir Ghahremani, Egor Bondarev, Peter H. N. de With:
Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features. Image Processing: Algorithms and Systems 2017: 78-86 - [c28]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Camera-to-Model Back-Raycasting for Extraction of RGB-D Images from Pointclouds. Image Processing: Algorithms and Systems 2017: 117-124 - 2016
- [j3]Konstantinos Triantafyllidis, Waqar Aslam, Egor Bondarev, Johan J. Lukkien, Peter H. N. de With:
ProMARTES: Accurate network and computation delay prediction for component-based distributed systems. J. Syst. Softw. 117: 450-470 (2016) - [c27]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
R3P: Real-time RGB-D Registration Pipeline. ACIVS 2016: 385-397 - 2015
- [j2]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Real-time planar segmentation of depth images: from three-dimensional edges to segmented planes. J. Electronic Imaging 24(5): 051008 (2015) - [j1]Thomas Whelan, Lingni Ma, Egor Bondarev, Peter H. N. de With, John McDonald:
Incremental and batch planar simplification of dense point cloud maps. Robotics Auton. Syst. 69: 3-14 (2015) - [c26]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Solidarity Filter for Noise Reduction of 3D Edges in Depth Images. ACIVS 2015: 625-636 - [c25]Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With:
Guided Rule-Based Multi-objective Optimization for Real-Time Distributed Systems. EUROMICRO-SEAA 2015: 224-232 - [c24]Egor Bondarev:
On detailed 3D reconstruction of large indoor environments. Image Processing: Algorithms and Systems 2015: 93990G - [c23]Hani Javan Hemmat, Arash Pourtaherian, Egor Bondarev, Peter H. N. de With:
Fast planar segmentation of depth images. Image Processing: Algorithms and Systems 2015: 93990I - [c22]Lingni Ma, Egor Bondarev, Peter H. N. de With:
Multi-volume mapping and tracking for real-time RGB-D sensing. Image Processing: Algorithms and Systems 2015: 939918 - 2014
- [c21]Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With:
Exploring Distance-Aware Weighting Strategies for Accurate Reconstruction of Voxel-Based 3D Synthetic Models. MMM (1) 2014: 412-423 - [c20]Hani Javan Hemmat, Egor Bondarev, Gijs Dubbelman, Peter H. N. de With:
Improved ICP-based Pose Estimation by Distance-aware 3D Mapping. VISAPP (3) 2014: 360-367 - [c19]Luat Do, Lingni Ma, Egor Bondarev, Peter H. N. de With:
On Multi-view Texture Mapping of Indoor Environments using Kinect Depth Sensors. VISAPP (2) 2014: 739-745 - [c18]Hani Javan Hemmat, Egor Bondarev, Gijs Dubbelman, Peter H. N. de With:
Evaluation of Distance-Aware KinFu Algorithm for Stereo Outdoor Data. VISAPP (2) 2014: 746-751 - 2013
- [c17]Lingni Ma, Raphael Favier, Luat Do, Egor R. V. Bondarev, Peter H. N. de With:
Plane segmentation and decimation of point clouds for 3D environment reconstruction. CCNC 2013: 43-49 - [c16]Egor Bondarev, Francisco Heredia, Rafael Favier, Lingni Ma, Peter H. N. de With:
On photo-realistic 3D reconstruction of large-scale and arbitrary-shaped environments. CCNC 2013: 621-624 - [c15]Lingni Ma, Thomas Whelan, Egor Bondarev, Peter H. N. de With, John McDonald:
Planar simplification and texturing of dense point cloud maps. ECMR 2013: 164-171 - [c14]Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With:
Performance analysis method for RT systems: Promartes for autonomous robot. FDL 2013: 1-8 - [c13]Lingni Ma, Luat Do, Egor Bondarev, Peter H. N. de With:
3D colored model generation based on multiview textures and triangular mesh. ICDSC 2013: 1-6 - 2012
- [c12]Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With:
Low-Level Profiling and MARTE-Compatible Modeling of Software Components for Real-Time Systems. EUROMICRO-SEAA 2012: 216-223
2000 – 2009
- 2007
- [c11]Egor R. V. Bondarev, Michel R. V. Chaudron, Peter H. N. de With:
CARAT: a toolkit for design and performance analysis of component-based embedded systems. DATE 2007: 1024-1029 - [c10]Ferdi Maswar, Michel R. V. Chaudron, Igor Radovanovic, Egor Bondarev:
Improving Architectural Quality Properties Through Model Transformations. Software Engineering Research and Practice 2007: 687-693 - [c9]Egor Bondarev, Michel R. V. Chaudron, Erwin A. de Kock:
Exploring performance trade-offs of a JPEG decoder using the deepcompass framework. WOSP 2007: 153-163 - 2006
- [c8]Egor Bondarev, Michel R. V. Chaudron, Peter H. N. de With:
A Process for Resolving Performance Trade-Offs in Component-Based Architectures. CBSE 2006: 254-269 - [c7]Egor Bondarev, Michel R. V. Chaudron, Peter H. N. de With:
Compositional Performance Analysis of Component-Based Systems on Heterogeneous Multiprocessor Platforms. EUROMICRO-SEAA 2006: 81-91 - [c6]Heorhiy Byelas, Egor Bondarev, Alexandru C. Telea:
Visualization of Areas of Interest in Component-Based System Architectures. EUROMICRO-SEAA 2006: 160-169 - [c5]Lars Grunske, Peter A. Lindsay, Egor Bondarev, Yiannis Papadopoulos, David Parker:
An Outline of an Architecture-Based Method for Optimizing Dependability Attributes of Software-Intensive Systems. WADS 2006: 188-209 - [c4]Egor Bondarev, Michel R. V. Chaudron, Heorhiy Byelas, Peter H. N. de With:
A Toolkit for Design and Performance Analysis of Real-Time Component-Based Software Systems. ICSEA 2006: 4 - 2005
- [c3]Egor Bondarev, Peter H. N. de With, Michel R. V. Chaudron, Johan Muskens:
Modelling of Input-Parameter Dependency for Performance Predictions of Component-Based Embedded Systems. EUROMICRO-SEAA 2005: 36-43 - 2004
- [c2]Egor Bondarev, Johan Muskens, Peter H. N. de With, Michel R. V. Chaudron, Johan Lukkien:
Predicting Real-Time Properties of Component Assemblies: A Scenario-Simulation Approach. EUROMICRO 2004: 40-47 - [c1]Egor Bondarev, Peter H. N. de With, Michel R. V. Chaudron:
Towards Predicting Real-Time Properties of a Component Assembly. EUROMICRO 2004: 601-610
Coauthor Index
[c59] [c58] [i12] [i11] [i10] [i9] [c56] [c54] [c53] [i8] [j8] [c52] [c49] [c48] [c47] [j7] [j6] [c46] [c45] [c44] [c43] [j5] [c42] [c41] [c40] [c39] [i7] [i6] [i5] [j4] [c38] [c37] [c36] [c35] [c34] [i4] [i3] [i2] [c33] [c32] [c31] [c30] [i1] [c29] [c28] [j3] [c27] [j2] [j1] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c8] [c7] [c4] [c3] [c2] [c1]
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last updated on 2024-12-02 22:35 CET by the dblp team
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