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02/03/2022
Deep Surface Reconstruction from Point Clouds with Visibility Information
Most current neural networks for reconstructing surfaces from point clou...
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01/20/2022
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
We propose a new deep learning-based method for estimating the occupancy...
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12/27/2021
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
We propose a new deep learning-based method for estimating the occupancy...
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12/14/2021
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series
Optical and radar satellite time series are synergetic: optical images c...
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10/15/2021
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series
While annual crop rotations play a crucial role for agricultural optimiz...
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09/03/2021
Representing Shape Collections with Alignment-Aware Linear Models
In this paper, we revisit the classical representation of 3D point cloud...
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07/16/2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Unprecedented access to multi-temporal satellite imagery has opened new ...
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07/13/2021
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
We introduce a novel learning-based, visibility-aware, surface reconstru...
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10/09/2020
Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds
We introduce Torch-Points3D, an open-source framework designed to facili...
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07/06/2020
Metric-Guided Prototype Learning
Not all errors are created equal. This is especially true for many key m...
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07/01/2020
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
The increasing accessibility and precision of Earth observation satellit...
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11/18/2019
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Satellite image time series, bolstered by their growing availability, ar...
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05/10/2019
Supervized Segmentation with Graph-Structured Deep Metric Learning
We present a fully-supervized method for learning to segment data struct...
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05/07/2019
Parallel Cut Pursuit For Minimization of the Graph Total Variation
We present a parallel version of the cut-pursuit algorithm for minimizin...
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04/03/2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
We propose a new supervized learning framework for oversegmenting 3D poi...
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01/29/2019
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
In this article, we investigate several structured deep learning models ...
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11/27/2017
