76 citations · 139 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
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…