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08/28/2023
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
In stark contrast to the case of images, finding a concise, learnable di...
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07/08/2023
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
This paper proposes BPNet, a novel end-to-end deep learning framework to...
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05/13/2020
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images
The domain adaptation of satellite images has recently gained an increas...
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04/14/2020
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
Domain adaptation for semantic segmentation has recently been actively s...
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02/14/2020
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
Although convolutional neural networks have been proven to be an effecti...
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07/30/2019
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Due to the various reasons such as atmospheric effects and differences i...
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05/27/2019
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria
Software is a fundamental pillar of modern scientiic research, not only ...
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10/29/2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
In spite of remarkable success of the convolutional neural networks on s...
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11/07/2016
Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement
The typical goal of surface remeshing consists in finding a mesh that is...
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11/07/2016
High-Resolution Semantic Labeling with Convolutional Neural Networks
Convolutional neural networks (CNNs) have received increasing attention ...
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08/11/2016
