Clint Sebastian | DeepAI

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Featured Co-authors

Peter H. N. de With
23 publications
Bas Boom
8 publications
Dariu M. Gavrila
8 publications
Egor Bondarev
7 publications
Raffaele Imbriaco
5 publications
Ries Uittenbogaard
2 publications
Julien Vijverberg
2 publications
Thijs van Lankveld
1 publication
Peter de With
1 publication

∙ 04/18/2020

Dual Embedding Expansion for Vehicle Re-identification

Vehicle re-identification plays a crucial role in the management of tran...

10 Clint Sebastian, et al. ∙

∙ 04/15/2020

Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery

Building extraction from aerial images has several applications in probl...

12 Clint Sebastian, et al. ∙

∙ 01/13/2020

Adversarial Loss for Semantic Segmentation of Aerial Imagery

Automatic building extraction from aerial imagery has several applicatio...

0 Clint Sebastian, et al. ∙

∙ 03/27/2019

Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery

The current paradigm in privacy protection in street-view images is to d...

0 Ries Uittenbogaard, et al. ∙

∙ 03/22/2019

Aggregated Deep Local Features for Remote Sensing Image Retrieval

Remote Sensing Image Retrieval remains a challenging topic due to the sp...

0 Raffaele Imbriaco, et al. ∙

∙ 03/13/2019

LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas

Recently, privacy has a growing importance in several domains, especiall...

0 Clint Sebastian, et al. ∙

∙ 03/13/2019

Towards Accurate Camera Geopositioning by Image Matching

In this work, we present a camera geopositioning system based on matchin...

0 Raffaele Imbriaco, et al. ∙

∙ 10/08/2018

Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery

Detection of buildings and other objects from aerial images has various ...

0 Clint Sebastian, et al. ∙

∙ 09/05/2018

Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery

Object detection and classification of traffic signs in street-view imag...

0 Clint Sebastian, et al. ∙

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