activity
20182022
most citedSUM: A Benchmark Dataset of Semantic Urban Meshes

82 citations · 138 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 1 cited

PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes

Weixiao Gao, Liangliang Nan, Bas Boom +1

We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. Based on the observation that object boundaries typically align with…

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.CV2021★ 82 cited

SUM: A Benchmark Dataset of Semantic Urban Meshes

Weixiao Gao, Liangliang Nan, Bas Boom +1

Recent developments in data acquisition technology allow us to collect 3D texture meshes quickly. Those can help us understand and analyse the urban environment, and as a consequen…

cs.CV2019★ 54 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.CV2019★ 1 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…