Predicting Real-Time Properties of Component Assemblies: A Scenario-Simulation Approach. - Egor Bondarev; Johan Muskens; Peter H. N. de With; Michel R. V. Chaudron; Johan Lukkien (EUROMICRO, 2004)

Towards Predicting Real-Time Properties of a Component Assembly. - Egor Bondarev; Peter H. N. de With; Michel R. V. Chaudron (EUROMICRO, 2004)

Modelling of Input-Parameter Dependency for Performance Predictions of Component-Based Embedded Systems. - Egor Bondarev; Peter H. N. de With; Michel R. V. Chaudron; Johan Muskens (EUROMICRO-SEAA, 2005)

A Process for Resolving Performance Trade-Offs in Component-Based Architectures. - Egor Bondarev; Michel R. V. Chaudron; Peter H. N. de With (CBSE, 2006)

Compositional Performance Analysis of Component-Based Systems on Heterogeneous Multiprocessor Platforms. - Egor Bondarev; Michel R. V. Chaudron; Peter H. N. de With (EUROMICRO-SEAA, 2006)

Visualization of Areas of Interest in Component-Based System Architectures. - Heorhiy Byelas; Egor Bondarev; Alexandru C. Telea (EUROMICRO-SEAA, 2006)

An Outline of an Architecture-Based Method for Optimizing Dependability Attributes of Software-Intensive Systems. - Lars Grunske; Peter A. Lindsay; Egor Bondarev; Yiannis Papadopoulos; David Parker 002 (WADS, 2006)

A Toolkit for Design and Performance Analysis of Real-Time Component-Based Software Systems. - Egor Bondarev; Michel R. V. Chaudron; Heorhiy Byelas; Peter H. N. de With (ICSEA, 2006)

CARAT: a toolkit for design and performance analysis of component-based embedded systems. - Egor R. V. Bondarev; Michel R. V. Chaudron; Peter H. N. de With (DATE, 2007)

Improving Architectural Quality Properties Through Model Transformations. - Ferdi Maswar; Michel R. V. Chaudron; Igor Radovanovic; Egor Bondarev (Software Engineering Research and Practice, 2007)

Exploring performance trade-offs of a JPEG decoder using the deepcompass framework. - Egor Bondarev; Michel R. V. Chaudron; Erwin A. de Kock (WOSP, 2007)

Low-Level Profiling and MARTE-Compatible Modeling of Software Components for Real-Time Systems. - Konstantinos Triantafyllidis; Egor Bondarev; Peter H. N. de With (EUROMICRO-SEAA, 2012)

On photo-realistic 3D reconstruction of large-scale and arbitrary-shaped environments. - Egor Bondarev; Francisco Heredia; Rafael Favier; Lingni Ma; Peter H. N. de With (CCNC, 2013)

Plane segmentation and decimation of point clouds for 3D environment reconstruction. - Lingni Ma; Raphael Favier; Luat Do; Egor R. V. Bondarev; Peter H. N. de With (CCNC, 2013)

Planar simplification and texturing of dense point cloud maps. - Lingni Ma; Thomas Whelan; Egor Bondarev; Peter H. N. de With; John McDonald 001 (ECMR, 2013)

Performance analysis method for RT systems: Promartes for autonomous robot. - Konstantinos Triantafyllidis; Egor Bondarev; Peter H. N. de With (FDL, 2013)

3D colored model generation based on multiview textures and triangular mesh. - Lingni Ma; Luat Do; Egor Bondarev; Peter H. N. de With (ICDSC, 2013)

Exploring Distance-Aware Weighting Strategies for Accurate Reconstruction of Voxel-Based 3D Synthetic Models. - Hani Javan Hemmat; Egor Bondarev; Peter H. N. de With (MMM (1), 2014)

On Multi-view Texture Mapping of Indoor Environments using Kinect Depth Sensors. - Luat Do; Lingni Ma; Egor Bondarev; Peter H. N. de With (VISAPP (2), 2014)

Evaluation of Distance-Aware KinFu Algorithm for Stereo Outdoor Data. - Hani Javan Hemmat; Egor Bondarev; Gijs Dubbelman; Peter H. N. de With (VISAPP (2), 2014)

Improved ICP-based Pose Estimation by Distance-aware 3D Mapping. - Hani Javan Hemmat; Egor Bondarev; Gijs Dubbelman; Peter H. N. de With (VISAPP (3), 2014)

Solidarity Filter for Noise Reduction of 3D Edges in Depth Images. - Hani Javan Hemmat; Egor Bondarev; Peter H. N. de With (ACIVS, 2015)

Guided Rule-Based Multi-objective Optimization for Real-Time Distributed Systems. - Konstantinos Triantafyllidis; Egor Bondarev; Peter H. N. de With (EUROMICRO-SEAA, 2015)

On detailed 3D reconstruction of large indoor environments. - Egor Bondarev (Image Processing: Algorithms and Systems, 2015)

Fast planar segmentation of depth images. - Hani Javan Hemmat; Arash Pourtaherian; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2015)

Multi-volume mapping and tracking for real-time RGB-D sensing. - Lingni Ma; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2015)

Real-time planar segmentation of depth images: from three-dimensional edges to segmented planes. - Hani Javan Hemmat; Egor Bondarev; Peter H. N. de With (J. Electronic Imaging, 2015)

Incremental and batch planar simplification of dense point cloud maps. - Thomas Whelan; Lingni Ma; Egor Bondarev; Peter H. N. de With; John McDonald 001 (Robotics Auton. Syst., 2015)

R3P: Real-time RGB-D Registration Pipeline. - Hani Javan Hemmat; Egor Bondarev; Peter H. N. de With (ACIVS, 2016)

ProMARTES: Accurate network and computation delay prediction for component-based distributed systems. - Konstantinos Triantafyllidis; Waqar Aslam; Egor Bondarev; Johan J. Lukkien; Peter H. N. de With (J. Syst. Softw., 2016)

Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features. - Amir Ghahremani; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2017)

Camera-to-Model Back-Raycasting for Extraction of RGB-D Images from Pointclouds. - Hani Javan Hemmat; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2017)

Multi-Class Recognition using Noisy Training Data with a Self-Learning Approach. - Amir Ghahremani; Egor Bondarev; Peter H. N. de With (DICTA, 2018)

Towards multi-class detection: a self-learning approach to reduce inter-class noise from training dataset. - Amir Ghahremani; Egor Bondarev; Peter H. N. de With (ICMV, 2018)

Towards accurate camera geopositioning by image matching. - Raffaele Imbriaco; Clint Sebastian; Egor Bondarev; Peter H. N. de With (ICMV, 2018)

Cascaded CNN Method for Far Object Detection in Outdoor Surveillance. - Amir Ghahremani; Egor Bondarev; Peter H. N. de With (SITIS, 2018)

Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery. - Clint Sebastian; Bas Boom; Thijs van Lankveld; Egor Bondarev; Peter H. N. de With (CoRR, 2018)

Towards Parameter-Optimized Vessel Re-identification Based on IORnet. - Amir Ghahremani; Yitian Kong; Egor Bondarev; Peter H. N. de With (ICCS (5), 2019)

Improving open-set person re-identification by statistics-driven gallery refinement. - Tunç Alkanat; Egor Bondarev; Peter H. N. de With (ICMV, 2019)

Multi-Class detection and orientation recognition of vessels in maritime surveillance. - Amir Ghahremani; Yitian Kong; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2019)

Improving person re-identification performance by customized dataset and person detection. - Herman G. J. Groot; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2019)

LiDAR assisted large-scale privacy protection in street view cycloramas. - Clint Sebastian; Bas Boom; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2019)

Aggregated Deep Local Features for Remote Sensing Image Retrieval. - Raffaele Imbriaco; Clint Sebastian; Egor Bondarev; Peter H. N. de With (Remote. Sens., 2019)

Dual Embedding Expansion for Vehicle Re-identification. - Clint Sebastian; Raffaele Imbriaco; Egor Bondarev; Peter H. N. de With (CVPR Workshops, 2020)

Multiscale Convolutional Descriptor Aggregation for Visual Place Recognition. - Raffaele Imbriaco; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2020)

Introducing Scene Understanding to Person Re-Identification using a Spatio-Temporal Multi-Camera Model. - Xin Liu; Herman G. J. Groot; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2020)

Multi-Branch Convolutional Descriptors for Content-based Remote Sensing Image Retrieval. - Raffaele Imbriaco; Tunç Alkanat; Egor Bondarev; Peter H. N. de With (VISIGRAPP (5: VISAPP), 2020)

Adversarial Loss for Semantic Segmentation of Aerial Imagery. - Clint Sebastian; Raffaele Imbriaco; Egor Bondarev; Peter H. N. de With (CoRR, 2020)

Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery. - Clint Sebastian; Raffaele Imbriaco; Egor Bondarev; Peter H. N. de With (CoRR, 2020)

Toward robust multitype and orientation detection of vessels in maritime surveillance. - Amir Ghahremani; Egor Bondarev; Peter H. N. de With (J. Electronic Imaging, 2020)

Semantic 3D Indoor Reconstruction with Stereo Camera Imaging. - Xin Liu; Egor Bondarev; Sander R. Klomp; Joury Zimmerman; Peter H. N. de With (3D Imaging and Applications, 2021)

Towards Scalable Abnormal Behavior Detection in Automated Surveillance. - Tunç Alkanat; Herman G. J. Groot; Matthijs H. Zwemer; Egor Bondarev; Peter H. N. de With (AI4I, 2021)

TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval. - Clint Sebastian; Raffaele Imbriaco; Panagiotis Meletis; Gijs Dubbelman; Egor Bondarev; Peter H. N. de With (CVPR Workshops, 2021)

Real-Time Vehicle Orientation Classification and Viewpoint-Aware Vehicle Re-Identification. - Oliver Tamas Kocsis; Tunç Alkanat; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2021)

Maritime vessel re-identification: novel VR-VCA dataset and a multi-branch architecture MVR-net. - Amir Ghahremani; Tunç Alkanat; Egor Bondarev; Peter H. N. de With (Mach. Vis. Appl., 2021)

Multi-Camera Vessel-Speed Enforcement by Enhancing Detection and Re-Identification Techniques. - Matthijs H. Zwemer; Herman G. J. Groot; Rob G. J. Wijnhoven; Egor Bondarev; Peter H. N. de With (Sensors, 2021)

Density-Guided Label Smoothing for Temporal Localization of Driving Actions. - Tunç Alkanat; Erkut Akdag; Egor Bondarev; Peter H. N. de With (CVPR Workshops, 2022)

ARTS: An adaptive regularization training schedule for activation sparsity exploration. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Lennart Bamberg; Egor Bondarev; Orlando Moreira (DSD, 2022)

Detection and correction of image distortions induced by parasitic light sensitivity using deep learning methods. - Sara Esam Azmi; Chris Bartels; Zill-e Hussnain; J. A. P. Guelen; Egor Bondarev (ICMV, 2022)

Floor-plan generation from noisy point clouds. - Xin Liu; Egor Bondarev; Peter H. N. de With (ICMV, 2022)

Optimizing Train-Test Data for Person Re-Identification in Real-World Applications. - Herman G. J. Groot; Tunç Alkanat; Egor Bondarev; Peter H. N. de With (ICMVA, 2022)

Critical Vehicle Detection for Intelligent Transportation Systems. - Erkut Akdag; Egor Bondarev; Peter H. N. de With (VEHITS, 2022)

Toward Multilabel Image Retrieval for Remote Sensing. - Raffaele Imbriaco; Clint Sebastian; Egor Bondarev; Peter H. N. de With (IEEE Trans. Geosci. Remote. Sens., 2022)

DL-based floorplan generation from noisy point clouds. - Xin Liu; Egor Bondarev; Peter H. N. de With (3DIA, 2023)

Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition. - Erkut Akdag; Zeqi Zhu; Egor Bondarev; Peter H. N. de With (CVPR Workshops, 2023)

STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Egor Bondarev; Orlando Moreira (CVPR Workshops, 2023)

Detection of object throwing behavior in surveillance videos. - Ivo P. C. Kersten; Erkut Akdag; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2023)

ELSE: Efficient Deep Neural Network Inference Through Line-Based Sparsity Exploration. - Zeqi Zhu; Alberto García-Ortiz; Luc Waeijen; Egor Bondarev; Arash Pourtaherian; Orlando Moreira (ECCV (11), 2024)

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance. - Erkut Akdag; Egor Bondarev; Peter H. N. de With (VCIP, 2024)

Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models. - D. Scholte; T. T. G. Urselmann; Matthijs H. Zwemer; Egor Bondarev; Peter H. N. de With (VISIGRAPP (3): VISAPP, 2024)

Automated Camera Calibration via Homography Estimation with GNNs. - Giacomo D'Amicantonio; Egor Bondarev; Peter H. N. de With (WACV, 2024)

CATS: Combined Activation and Temporal Suppression for Efficient Network Inference. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Ibrahim Batuhan Akkaya; Egor Bondarev; Orlando Moreira (WACV, 2024)

MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos. - Yiling Zhang; Erkut Akdag; Egor Bondarev; Peter H. N. de With (CoRR, 2024)

Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection. - Snehashis Majhi; Giacomo D'Amicantonio; Antitza Dantcheva; Quan Kong; Lorenzo Garattoni; Gianpiero Francesca; Egor Bondarev; François Brémond (CVPR, 2025)

Near-incident detection in railroad environments: lateral distance estimation from train-mounted monocular camera. - Yilei Wang; Giacomo D'Amicantonio; Egor Bondarev (CVPR Workshops, 2025)

MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks. - Zeqi Zhu; Ibrahim Batuhan Akkaya; Luc Waeijen; Egor Bondarev; Arash Pourtaherian; Orlando Moreira (CVPR, 2025)

Just Dance with π! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection. - Snehashis Majhi; Giacomo D'Amicantonio; Antitza Dantcheva; Quan Kong; Lorenzo Garattoni; Gianpiero Francesca; Egor Bondarev; François Brémond (CoRR, 2025)

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset. - Sara Abdulaziz; Giacomo D'Amicantonio; Egor Bondarev (CoRR, 2025)

Unmasking Performance Gaps: A Comparative Study of Human Anonymization and Its Effects on Video Anomaly Detection. - Sara Abdulaziz; Egor Bondarev (CoRR, 2025)

Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection. - Giacomo D'Amicantonio; Snehashis Majhi; Quan Kong; Lorenzo Garattoni; Gianpiero Francesca; François Brémond; Egor Bondarev (CoRR, 2025)