76 citations · 174 across the 18 of their papers we have counts for
20 papers
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance
Erkut Akdag, Egor Bondarev, Peter H. N. De With
Anomaly detection in video surveillance has recently gained interest from the research community. Temporal duration of anomalies vary within video streams, leading to complications…
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
Yiling Zhang, Erkut Akdag, Egor Bondarev +1
Detection of anomaly events is relevant for public safety and requires a combination of fine-grained motion information and contextual events at variable time-scales. To this end,…
Density-Guided Label Smoothing for Temporal Localization of Driving Actions
Tunc Alkanat, Erkut Akdag, Egor Bondarev +1
Temporal localization of driving actions plays a crucial role in advanced driver-assistance systems and naturalistic driving studies. However, this is a challenging task due to str…
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition
Erkut Akdag, Zeqi Zhu, Egor Bondarev +1
Classification and localization of driving actions over time is important for advanced driver-assistance systems and naturalistic driving studies. Temporal localization is challeng…
Detection of Object Throwing Behavior in Surveillance Videos
Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev +1
Anomalous behavior detection is a challenging research area within computer vision. Progress in this area enables automated detection of dangerous behavior using surveillance camer…
Automated Camera Calibration via Homography Estimation with GNNs
Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. De With
Over the past few decades, a significant rise of camera-based applications for traffic monitoring has occurred. Governments and local administrations are increasingly relying on th…
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray
Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova +2
Deep learning-based pose estimation algorithms can successfully estimate the pose of objects in an image, especially in the field of color images. 6D Object pose estimation based o…
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows
M. M. A. Valiuddin, C. G. A. Viviers, R. J. G. van Sloun +2
Quantifying uncertainty in medical image segmentation applications is essential, as it is often connected to vital decision-making. Compelling attempts have been made in quantifyin…
Medical Instrument Detection in Ultrasound-Guided Interventions: A Review
Hongxu Yang, Caifeng Shan, Alexander F. Kolen +1
Medical instrument detection is essential for computer-assisted interventions since it would facilitate the surgeons to find the instrument efficiently with a better interpretation…
Dual Embedding Expansion for Vehicle Re-identification
Clint Sebastian, Raffaele Imbriaco, Egor Bondarev +1
Vehicle re-identification plays a crucial role in the management of transportation infrastructure and traffic flow. However, this is a challenging task due to the large view-point…
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery
Clint Sebastian, Raffaele Imbriaco, Egor Bondarev +1
Building extraction from aerial images has several applications in problems such as urban planning, change detection, and disaster management. With the increasing availability of d…
Adversarial Loss for Semantic Segmentation of Aerial Imagery
Clint Sebastian, Raffaele Imbriaco, Egor Bondarev +1
Automatic building extraction from aerial imagery has several applications in urban planning, disaster management, and change detection. In recent years, several works have adopted…
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation
Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino +2
Current prognostic risk scores in cardiac surgery are based on statistics and do not yet benefit from machine learning. Statistical predictors are not robust enough to correctly id…
Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery
Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg +3
The current paradigm in privacy protection in street-view images is to detect and blur sensitive information. In this paper, we propose a framework that is an alternative to blurri…
Aggregated Deep Local Features for Remote Sensing Image Retrieval
Raffaele Imbriaco, Clint Sebastian, Egor Bondarev +1
Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing Imagery. Such images contain various different semantic objects, which clearl…
LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas
Clint Sebastian, Bas Boom, Egor Bondarev +1
Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive…
Towards Accurate Camera Geopositioning by Image Matching
Raffaele Imbriaco, Clint Sebastian, Egor Bondarev +1
In this work, we present a camera geopositioning system based on matching a query image against a database with panoramic images. For matching, our system uses memory vectors aggre…
Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FCN
Hongxu Yang, Caifeng Shan, Alexander F. Kolen +1
Fast and accurate catheter detection in cardiac catheterization using harmless 3D ultrasound (US) can improve the efficiency and outcome of the intervention. However, the low image…
Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery
Clint Sebastian, Bas Boom, Thijs van Lankveld +2
Detection of buildings and other objects from aerial images has various applications in urban planning and map making. Automated building detection from aerial imagery is a challen…
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications
Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane +31
The 10th Asia-Europe workshop in "Concepts in Information Theory and Communications" AEW10 was held in Boppard, Germany on June 21-23, 2017. It is based on a longstanding cooperati…