Jan Dirk Wegner

Orcid: 0000-0002-0290-6901

Affiliations:
  • University of Zurich, Switzerland
  • ETH Zürich, Switzerland (former)


According to our database1, Jan Dirk Wegner authored at least 89 papers between 2010 and 2024.

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Bibliography

2024
Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models.
CoRR, 2024

The unrealized potential of agroforestry for an emissions-intensive agricultural commodity.
CoRR, 2024

AGBD: A Global-scale Biomass Dataset.
CoRR, 2024

An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series.
CoRR, 2024

Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds.
CoRR, 2024

Recognition of Unseen Bird Species by Learning from Field Guides.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution.
CoRR, 2023

Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain.
CoRR, 2023

Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems.
CoRR, 2023

An evaluation of deep learning models for predicting water depth evolution in urban floods.
CoRR, 2023

Automatic Image Compositing and Snow Segmentation for Alpine Snow Cover Monitoring.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

BiasBed - Rigorous Texture Bias Evaluation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations.
IEEE Trans. Geosci. Remote. Sens., 2022

Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach.
Remote. Sens., 2022

Gating Revisited: Deep Multi-Layer RNNs That can be Trained.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Tetrahedral Diffusion Models for 3D Shape Generation.
CoRR, 2022

Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana.
CoRR, 2022

Zero-Shot Bird Species Recognition by Learning from Field Guides.
CoRR, 2022

A high-resolution canopy height model of the Earth.
CoRR, 2022

A Deep Learning Approach for Digital ColorReconstruction of Lenticular Films.
CoRR, 2022

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Graph Regularisation for Guided Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery.
Dataset, October, 2021

Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery.
Remote. Sens., 2021

Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa.
ISPRS Int. J. Geo Inf., 2021

Deep Learning and Earth Observation to Support the Sustainable Development Goals.
CoRR, 2021

Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning.
CoRR, 2021

High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR.
CoRR, 2021

Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs.
CoRR, 2021

Mapping oil palm density at country scale: An active learning approach.
CoRR, 2021

Towards a Collective Agenda on AI for Earth Science Data Analysis.
CoRR, 2021

Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning.
CoRR, 2021

Crop mapping from image time series: deep learning with multi-scale label hierarchies.
CoRR, 2021

The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo.
CoRR, 2021

PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds.
Proceedings of the 9th International Conference on Learning Representations, 2021

In the Light of Feature Distributions: Moment Matching for Neural Style Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multi-View Instance Matching with Learned Geometric Soft-Constraints.
ISPRS Int. J. Geo Inf., 2020

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs.
Int. J. Comput. Vis., 2020

Water level prediction from social media images with a multi-task ranking approach.
CoRR, 2020

GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end.
CoRR, 2020

Privileged Pooling: Supervised attention-based pooling for compensating dataset bias.
CoRR, 2020

Geocoding of trees from street addresses and street-level images.
CoRR, 2020

HistoNet: Predicting size histograms of object instances.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Deep Active Learning in Remote Sensing for data efficient Change Detection.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

Tropospheric delays derived from ground meteorological parameters: comparison between machine learning and empirical model approaches.
Proceedings of the European Navigation Conference, 2020

GeoGraph: Graph-Based Multi-view Object Detection with Geometric Cues End-to-End.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multiview 3D Point Cloud Registration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
From Google Maps to a Fine-Grained Catalog of Street trees.
CoRR, 2019

Country-wide high-resolution vegetation height mapping with Sentinel-2.
CoRR, 2019

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation.
CoRR, 2019

Learning geometric soft constraints for multi-view instance matching across street-level panoramas.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Guided Super-Resolution As Pixel-to-Pixel Transformation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Topological Map Extraction From Overhead Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

The Perfect Match: 3D Point Cloud Matching With Smoothed Densities.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis.
ISPRS Int. J. Geo Inf., 2018

PolyMapper: Extracting City Maps using Polygons.
CoRR, 2018

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks.
CoRR, 2018

Counting the Uncountable: Deep Semantic Density Estimation from Space.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
Learning Aerial Image Segmentation From Online Maps.
IEEE Trans. Geosci. Remote. Sens., 2017

Toward Seamless Multiview Scene Analysis From Satellite to Street Level.
Proc. IEEE, 2017

Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data.
CoRR, 2017

Towards seamless multi-view scene analysis from satellite to street-level.
CoRR, 2017

Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.
CoRR, 2017

Semantic segmentation of aerial images with explicit class-boundary modeling.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Semantically Informed Multiview Surface Refinement.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Foreword to the Special Issue on "GeoVision: Computer Vision for Geospatial Applications".
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection.
CoRR, 2016

Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Contour Detection in Unstructured 3D Point Clouds.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2015

On the evaluation of higher-order cliques for road network extraction.
Proceedings of the Joint Urban Remote Sensing Event, 2015

2014
Combining High-Resolution Optical and InSAR Features for Height Estimation of Buildings With Flat Roofs.
IEEE Trans. Geosci. Remote. Sens., 2014

Mind the Gap: Modeling Local and Global Context in (Road) Networks.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013
Fusion of Building Information and Range Imaging for Autonomous Location Estimation in Indoor Environments.
Sensors, 2013

A Higher-Order CRF Model for Road Network Extraction.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011

Segmentation and Classification of Objects with Implicit Scene Context.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets.
Proceedings of the Photogrammetric Image Analysis - ISPRS Conference, 2011

Conditional Random Fields for Urban Scene Classification with Full Waveform LiDAR Data.
Proceedings of the Photogrammetric Image Analysis - ISPRS Conference, 2011

Segment-based building detection with conditional random fields.
Proceedings of the Joint Urban Remote Sensing Event, 2011

A contextual approach to building extraction combining highre-solution InSAR and optical data.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Implicit Scene Context for Object Segmentation and Classification.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010
Building detection and height estimation from high-resolution insar and optical data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


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