76 citations · 139 across the 7 of their papers we have counts for
9 papers
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…
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…
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…
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery
Clint Sebastian, Ries Uittenbogaard, Julien Vijverberg +2
Object detection and classification of traffic signs in street-view imagery is an essential element for asset management, map making and autonomous driving. However, some traffic s…