| 2025 | ACIVS | Unmasking Performance Gaps: A Comparative Study of Human Anonymization and Its Effects on Video Anomaly Detection. | Sara Abdulaziz, Egor Bondarev |
| 2025 | CVPR | 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, Franois Brmond |
| 2025 | CVPR | Near-incident detection in railroad environments: lateral distance estimation from train-mounted monocular camera. | Yilei Wang, Giacomo D'Amicantonio, Egor Bondarev |
| 2025 | CVPR | MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks. | Zeqi Zhu, Ibrahim Batuhan Akkaya, Luc Waeijen, Egor Bondarev, Arash Pourtaherian, Orlando Moreira |
| 2025 | ICCV | Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset. | Sara Abdulaziz, Giacomo D'Amicantonio, Egor Bondarev |
| 2025 | ICCV | 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, Franois Brmond, Egor Bondarev |
| 2025 | ICIAP | Accelerating YOLO with EOBranch: An Early Exit Approach for Adaptive Object Detection. | Dick Scholte, Matthijs H. Zwemer, Egor Bondarev |
| 2025 | ICIAP | Automated Instance Label Generation for Traffic Domain to Enhance YOLACT-YOLO. | Dick Scholte, Matthijs H. Zwemer, Peter H. N. de With, Egor Bondarev |
| 2024 | ECCV | ELSE: Efficient Deep Neural Network Inference Through Line-Based Sparsity Exploration. | Zeqi Zhu, Alberto Garca-Ortiz, Luc Waeijen, Egor Bondarev, Arash Pourtaherian, Orlando Moreira |
| 2024 | WACV | Automated Camera Calibration via Homography Estimation with GNNs. | Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. de With |
| 2024 | WACV | CATS: Combined Activation and Temporal Suppression for Efficient Network Inference. | Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Ibrahim Batuhan Akkaya, Egor Bondarev, Orlando Moreira |
| 2024 | VCIP | TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance. | Erkut Akdag, Egor Bondarev, Peter H. N. de With |
| 2024 | VISIGRAPP | Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models. | Dick Scholte, T. T. G. Urselmann, Matthijs H. Zwemer, Egor Bondarev, Peter H. N. de With |
| 2023 | CVPR | 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 |
| 2023 | CVPR | STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. | Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Egor Bondarev, Orlando Moreira |
| 2023 | IPAS | Detection of object throwing behavior in surveillance videos. | Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev, Peter H. N. de With |
| 2022 | CVPR | Density-Guided Label Smoothing for Temporal Localization of Driving Actions. | Tun Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With |
| 2022 | DSD | ARTS: An adaptive regularization training schedule for activation sparsity exploration. | Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Lennart Bamberg, Egor Bondarev, Orlando Moreira |
| 2022 | ICMV | 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 |
| 2022 | ICMV | Floor-plan generation from noisy point clouds. | Xin Liu, Egor Bondarev, Peter H. N. de With |
| 2022 | VEHITS | Critical Vehicle Detection for Intelligent Transportation Systems. | Erkut Akdag, Egor Bondarev, Peter H. N. de With |
| 2021 | CVPR | 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 |
| 2021 | IPAS | Real-Time Vehicle Orientation Classification and Viewpoint-Aware Vehicle Re-Identification. | Oliver Tamas Kocsis, Tun Alkanat, Egor Bondarev, Peter H. N. de With |
| 2020 | CVPR | Dual Embedding Expansion for Vehicle Re-identification. | Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With |
| 2020 | IPAS | Multiscale Convolutional Descriptor Aggregation for Visual Place Recognition. | Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With |
| 2020 | IPAS | 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 |
| 2019 | ICCS | Towards Parameter-Optimized Vessel Re-identification Based on IORnet. | Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With |
| 2019 | ICMV | Improving open-set person re-identification by statistics-driven gallery refinement. | Tun Alkanat, Egor Bondarev, Peter H. N. de With |
| 2019 | IPAS | Multi-Class detection and orientation recognition of vessels in maritime surveillance. | Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With |
| 2019 | IPAS | Improving person re-identification performance by customized dataset and person detection. | Herman G. J. Groot, Egor Bondarev, Peter H. N. de With |
| 2019 | IPAS | LiDAR assisted large-scale privacy protection in street view cycloramas. | Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With |
| 2018 | DICTA | Multi-Class Recognition using Noisy Training Data with a Self-Learning Approach. | Amir Ghahremani, Egor Bondarev, Peter H. N. de With |
| 2018 | ICMV | 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 |
| 2018 | ICMV | Towards accurate camera geopositioning by image matching. | Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With |
| 2017 | IPAS | Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features. | Amir Ghahremani, Egor Bondarev, Peter H. N. de With |
| 2017 | IPAS | Camera-to-Model Back-Raycasting for Extraction of RGB-D Images from Pointclouds. | Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With |
| 2016 | ACIVS | R | Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With |
| 2015 | ACIVS | Solidarity Filter for Noise Reduction of 3D Edges in Depth Images. | Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With |
| 2015 | IPAS | On detailed 3D reconstruction of large indoor environments. | Egor Bondarev |
| 2015 | IPAS | Fast planar segmentation of depth images. | Hani Javan Hemmat, Arash Pourtaherian, Egor Bondarev, Peter H. N. de With |
| 2015 | IPAS | Multi-volume mapping and tracking for real-time RGB-D sensing. | Lingni Ma, Egor Bondarev, Peter H. N. de With |
| 2014 | MMM | Exploring Distance-Aware Weighting Strategies for Accurate Reconstruction of Voxel-Based 3D Synthetic Models. | Hani Javan Hemmat, Egor Bondarev, Peter H. N. de With |
| 2013 | FDL | Performance analysis method for RT systems: Promartes for autonomous robot. | Konstantinos Triantafyllidis, Egor Bondarev, Peter H. N. de With |
| 2006 | ICSE | 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 |
| 2006 | ICSEA | 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 |