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20182021
most citedPrivacy Protection in Street-View Panoramas using Depth and Multi-View Imagery

54 citations · 55 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021

Incremental Few-Shot Instance Segmentation

Dan Andrei Ganea, Bas Boom, Ronald Poppe

Few-shot instance segmentation methods are promising when labeled training data for novel classes is scarce. However, current approaches do not facilitate flexible addition of nove…

cs.CV201954 cited

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…

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.CV2018

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…

cs.CV2018

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…