most citedAggregated Deep Local Features for Remote Sensing Image Retrieval

76 citations · 85 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2020

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…

cs.CV2020

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…

eess.IV20208 cited

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…

cs.CV201976 cited

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…

cs.CV20191 cited

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…

cs.CV2019

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…