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09/04/2023
Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain
Monitoring and understanding forest dynamics is essential for environmen...
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11/23/2022
Tetrahedral Diffusion Models for 3D Shape Generation
Recently, probabilistic denoising diffusion models (DDMs) have greatly a...
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11/23/2022
BiasBed – Rigorous Texture Bias Evaluation
The well-documented presence of texture bias in modern convolutional neu...
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06/13/2022
Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana
Côte d'Ivoire and Ghana, the world's largest producers of cocoa, account...
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06/03/2022
Zero-Shot Bird Species Recognition by Learning from Field Guides
We exploit field guides to learn bird species recognition, in particular...
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03/27/2022
Learning Graph Regularisation for Guided Super-Resolution
We introduce a novel formulation for guided super-resolution. Its core i...
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06/07/2021
Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs
Automatic identification of plant specimens from amateur photographs cou...
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05/24/2021
Mapping oil palm density at country scale: An active learning approach
Accurate mapping of oil palm is important for understanding its past and...
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03/23/2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
In this paper we propose an end-to-end learnable approach that detects s...
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01/15/2020
Learning multiview 3D point cloud registration
We present a novel, end-to-end learnable, multiview 3D point cloud regis...
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07/25/2019
Simultaneous multi-view instance detection with learned geometric soft-constraints
We propose to jointly learn multi-view geometry and warping between view...
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11/16/2018
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
We propose 3DSmoothNet, a full workflow to match 3D point clouds with a ...
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09/19/2018
Counting the uncountable: deep semantic density estimation from Space
We propose a new method to count objects of specific categories that are...
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01/31/2018
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
While CNNs naturally lend themselves to densely sampled data, and sophis...
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06/26/2017
Semantically Informed Multiview Surface Refinement
We present a method to jointly refine the geometry and semantic segmenta...
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04/12/2017