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Jan Dirk Wegner holds the "Data Science for Sciences" chair at the Department of Mathematical Modeling and Machine Learning at University of Zurich as an Associate Professor. Jan was PostDoc (2012-2016) and senior scientist (2017-2020) in the Photogrammetry and Remote Sensing group at ETH Zurich after completing his PhD (with distinction) at Leibniz Universität Hannover in 2011. His main research interests are at the frontier of machine learning, computer vision, and remote sensing to solve scientific questions in the environmental sciences and geosciences. Jan was granted multiple awards, among others an ETH Postdoctoral fellowship and the science award of the German Geodetic Commission. He was selected for the WEF Young Scientist Class 2020 as one of the 25 best researchers world-wide under the age of 40 committed to integrating scientific knowledge into society for the public good. Jan is vice-president of ISPRS Technical Commission II, associated faculty of the ETH AI Center, director of the PhD graduate school "Data Science" at University of Zurich, and his professorship is part of the Digital Society Initiative at University of Zurich. Together with colleagues, Jan is chairing the CVPR EarthVision workshops.
My team does research at the frontier of machine learning, computer vision, and remote sensing to solve scientific questions in the environmental sciences and geosciences. Its objective is to invent original, data-driven methods that analyze environmental data at very large scale automatically. We innovate on a very technical level and closely collaborate with our colleagues from, for example, ecology to jointly find new ways to protect our environment at global scale. Scientific projects include global mapping of vegetation parameters like canopy top height and carbon stocks at very high spatial and temporal resolution, monitoring of agricultural land, water-level prediction under flooding scenarios, or establishing a rapid-alert system that detects forest degradation. On the technical side, we investigate exciting topics like uncertainty quantification in deep learning, explainable and causal AI, graph neural networks, or time-series analysis with neural ordinary differential equations and transformers. We believe that interdisciplinary research is key to scientific breakthroughs and always aim at putting our research into practice by collaborating with NGOs, company's or public administration.
Research Field: Data Science, Geospatial Computer Vision, 3D Computer Vision
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Research Field: Data Science, Geospatial Computer Vision
contact
publications
Research Field: Data Science
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Research Field: Data Science
contact
Research Field: Data Science
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Research Field: Data Science, Comp.Vision, Deep Learning, Remote Sensing
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publications
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2024
Dollinger, J., Brun, P., Sainte Fare Garnot, V., Wegner, J. D.: SAT-SINR: HIGH-RESOLUTION SPECIES DISTRIBUTION MODELS THROUGH SATELLITE IMAGERY, 2024, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., accepted for publication
Becker, A., Caye Daudt, R., Metzger, N., Wegner, J.D., Schindler, K.: Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution, 2024, arxiv preprint, arxiv:2311.17643
Liu, Y., Obukhov, A., Wegner, J.D., Schindler, K.: Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds, 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted for publication [project website] [code]
Jiang, Y., Sainte Fare Garnot, V., Schindler, K., Wegner, J.D.: Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression, 2024, arxiv preprint, arxiv:2305.15178.
Brun, P., Karger, D.N., Zurell, D., Descombes, P., de Witte, L., de Lutio, R., Wegner, J.D., Zimmermann, N.E.: Multispecies deep learning using citizen science data produces more accurate plant community models, 2024, Nature Communications, accepted for publication
Kalischek, N., Peters, T., Wegner, J.D., Schindler, K.: TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation, 2023, arxiv preprint, arxiv:2211.13220. [project website] [code]
Liu, Y., Obukhov, A., Wegner, J.D., Schindler, K.: Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds, 2024, arxiv preprint, arXiv:2403.02136
2023
Karaman, K., Sainte Fare Garnot, V., and Wegner, J. D.: DEFORESTATION DETECTION IN THE AMAZON WITH SENTINEL-1 SAR IMAGE TIME SERIES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, pp. 835–842, doi: 10.5194/isprs-annals-X-1-W1-2023-835-2023. [code] [download data]
Rodriguez, A.C., D'Aronco, S., Caye Daudt, R., Wegner, J.D., Schindler, K.: Recognition of Unseen Bird Species by Learning from Field Guides, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, accepted for publication. [code]
Metzger, N., Türkoglu, M.Ö.., Daudt, R.C., Wegner, J.D., Schindler, K.: Urban Change Forecasting from Satellite Images, PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2023, doi: 10.1007/s41064-023-00258-8.
Rodriguez, A.C., D'Aronco, S., Schindler, K., Wegner, J.D.: Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, accepted for publication.
Lang, N., Jetz, W. Schindler, K., Wegner, J.D.: A high-resolution canopy height model of the Earth, Nature Ecology & Evolution, 2023, vol. 7, pp. 1778-1789, doi: 10.1038/s41559-023-02206-6. [project website] [explore maps] [download maps]
Jiang, Y., Rüetschi, M., Sainte Fare Garnot, V., Marty, M., Schindler, K., Ginzler, C., Wegner, J.D.: Accuracy and consistency of space-based vegetation height maps for forest dynamics in alpine terrain, Science of Remote Sensing, 2023, vol. 8, doi: 10.1016/j.srs.2023.100099. [code]
Katzenmaier, M., Sainte Fare Garnot, V., Björklund, J., Schneider, L., Wegner, J.D., von Arx, G.: Towards ROXAS AI: deep learning for faster and more accurate conifer cell analysis, Dendrochronologia, 2023, vol. 81, doi: 10.1016/j.dendro.2023.126126.
Hafner, E. D., Techel, F., Daudt, R. C., Wegner, J. D., Schindler, K., and Bühler, Y.: Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice, 2023, Natural Hazards and Earth System Sciences, vol. 23 (8), pp. 2895-2914, doi: 10.5194/nhess-23-2895-2023.
Sticher, V., Wegner, J.D., Pfeifle, B.:Toward the Remote Monitoring of Armed Conflicts, PNAS Nexus, 2023, vol. 2(6), pgad181, doi: 10.1093/pnasnexus/pgad181.
Kalischek, N., Lang, N., Renier, C., Caye Daudt, R., Addoah, T., Thompson, W., Blaser-Hart, W.J., Garrett, R., Schindler, K., Wegner, J.D.: Cocoa plantations are associated with deforestation in Côte d'Ivoire and Ghana, 2023, Nature Food, vol. 4, pp. 384-393, doi: 10.1038/s43016-023-00751-8. [explore maps], [code].
Ebel, P., Sainte Fare Garnot, V., Schmitt, M., Wegner, J.D., Zhu, X.X.: UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 2085-2095.
Kalischek, N., Caye Daudt, R., Peters, T., Furrer, R., Wegner, J.D., Schindler, K.: Biasbed - Rigorous Texture Bias Evaluation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 22221-22230. [code]
Caye Daudt, R., Wulf, H., Hafner, E.D., Bühler, Y., Schindler, K., Wegner, J.D.: Snow Depth Estimation at Country-Scale with High Spatial and Temporal Resolution, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 197, 2023, pp. 105-121, doi: 10.1016/j.isprsjprs.2023.01.017.
Becker, A., Russo, S., Puliti, S., Lang, N., Schindler, K., Wegner, J.D.: Country-wide retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 195, 2023, pp. 269-286, doi: 10.1016/j.isprsjprs.2022.11.011. [explore maps] [code]
Perich, G., Turkoglu, M.O., Wegner, J.D., Graf, L.V., Aasen, H., Walter, A., Liebisch, F.: Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks, Field Crops Research, vol. 292, 2023, doi: 10.1016/j.fcr.2023.108824.
Schmid, N., Bruderer, S., Paruzzo, F., Fischetti, G., Toscano, G., Graf, D., Fey, M., Henrici, A., Ziebart, V., Heitmann, B., Grabner, H., Wegner, J.D., Sigel, R.K.O, Wilhelm, D.: Deconvolution of 1D NMR Spectra: A Deep Learning-Based Approach, Journal of Magnetic Resonance, vol. 347, 2023, doi: 10.1016/j.jmr.2022.107357.
2022
Kalischek, N., Peters, T., Wegner, J.D., Schindler, K.: Tetrahedral Diffusion Models for 3D Shape Generation, 2022, arXiv:2211.13220
Shehaj, E., Miotti, L., Geiger, A., D'Aronco, S., Wegner, J.D., Moeller, G., Soja, B., Rothacher, M.: High-resolution tropospheric refractivity fields by combining machine learning and collocation methods to correct earth observation data, Acta Astronautica, 2022, doi: 10.1016/j.actaastro.2022.10.007.
Chaudhary, P., Leitão, J.P., Donauer, T., D'Aronco, S., Perraudin, N., Obozinski, G., Perez-Cruz, F., Schindler, K., Wegner, J.D., Russo, S.: Flood Uncertainty Estimation using Deep Ensembles, Water, vol. 14(19):2980, 2022, doi: 10.3390/w14192980.
Turkoglu, M.O., Becker, A., Gündüz, H.A., Rezaei, M., Bischl, B., Caye Daudt, R., D'Aronco, S., Wegner, J.D., Schindler, K.: FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation, Thirty-sixth Conference on Neural Information Processing Systems (NeuRIPS), 2022.
Turkoglu, M.O., D'Aronco, S., Wegner, J.D., Schindler, K.: Gating Revisited: Deep Multi-layer RNNs That Can Be Trained, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, vol. 44(8), pp. 4081-4092, doi: 10.1109/TPAMI.2021.3064878.
Hafner, E.D.., Barton, P., Caye Daudt, R., Wegner, J.D., Schindler, K., Bühler Y.: Automated avalanche mapping from SPOT 6/7 satellite imagery: results, evaluation, potential and limitations, 2022, The Cryosphere, vol. 16(9), pp. 3517-3530, doi: 10.5194/tc-16-3517-2022.
de Lutio*, R., Becker*, A., D'Aronco, S., Russo, S., Wegner, J.D., Schindler, K.: Learning Graph Regularisation for Guided Super-Resolution, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, accepted for publication. (* authors contributed equally to this publication)
D'Aronco, S., Trumpy, G., Pfluger, D., Wegner, J.D.: A Deep Learning Approach for Digital Color Reconstruction of Lenticular Films, 2022, arXiv:2202.05270
Metzger, N., Turkoglu, M.O., D'Aronco, S., Wegner, J.D., Schindler, K.: Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations, 2022, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, doi: 10.1109/TGRS.2021.3101965. [code]
Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, K. Wegner, J.D.: Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles, 2022, Remote Sensing of Environment, vol. 268, doi: 10.1016/j.rse.2021.112760. [code]
Persello, C., Wegner, J.D., Hänsch, R., Tuia, D., Ghamisi, P., Koeva, M., Camps-Vals, G.: Deep Learning and Earth Observation to Support the Sustainable Development Goals, 2022, IEEE Geoscience and Remote Sensing Magazine, pp. 2-30, doi: 10.1109/MGRS.2021.3136100.
de Lutio, R., Park, J.Y. Watson, K.A., D'Aronco, S., Wegner, J.D., Wieringa, J.J., Tulig, M., Pyle, R.L., Gallaher, T.J., Brown, G., Guymer, G., Franks, A., Ranatunga, D., Baba, Y., Belongie, S., Michelangeli, F.A., Ambrose, B.A., Little, D.P.: The Herbarium 2021 Half-Earth Dataset and Machine Learning Competition, 2022, Frontiers Plant Science, vol. 22, doi: 10.3389/fpls.2021.787127.
Ruttner, P., Hohensinn, R., D'Aronco, S., Wegner, J.D., Soja, B.: Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach, 2022, Remote Sensing, vol. 14(1):17, doi: 10.3390/rs14010017.
2021
Rodriguez, A.C., Caye Daudt, R., D'Aronco, S., Schindler, K., Wegner, J.D.: Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery, 2021, Remote Sensing, 13(21):4302.
Culman, M., Rodriguez, A.C., Wegner, J.D., Delalieux, S., Somers, B.: Deep learning for sub-pixel palm tree classification using spaceborne Sentinel-2 imagery, 2021, Proc. SPIE 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, 118560E, 6 pages.
Mboga, N., D'Aronco, S., Grippa, T., Pelletier, C., Georganos, S., Vanhuysss, S., Wolff, E., Smets, B., Dewitte, O., Lennert, M., Wegner, J.D.: Domain Adaption for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa, 2021, ISPRS International Journal of Geo-Information, vol. 10(8), 523.
Lang, N., Schindler, K., Wegner, J.D.: High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR, 2021, arXiv:2107.07431, [download maps] [explore maps]
Grünig, M., Razavi, E., Calanca, P., Mazzi, D., Wegner, J.D., Pellisier, L.: Applying deep neural networks to predict incidence and phenology of plant pests and deseases, 2021, Ecosphere, vol. 12(10):e03791, 10.1002/ecs2.3791.
De Lutio, R., She, Y., D'Aronco, S., Russo, S., Brun, P., Wegner, J.D., Schindler, K.: Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs, 2021, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 182, pp.112-121.
Rodriguez, A., D'Aronco, S., Schindler, K., Wegner, J.D.: Mapping Oil Palm Density at Country Scale: an Active Learning Approach, 2021, Remote Sensing of Environment, vol. 261, 112479.
Tuia, D., Roscher, R., Wegner, J.D., Jacobs, N., Zhu, X.X., Camps-Valls, G.: Towards a Collective Agenda on AI for Earth Science Data Analysis, 2021, IEEE Geoscience and Remote Sensing Magazine, vol. 9(2), pp. 88-104.
Trumpy, G., D'Aronco, S., Wegner, J.D., Reuteler, J.: deep-doLCE - A Deep Learning Approach for the Color Reconstruction of Digitized Lenticular Film, 2021, Colour Photography and Film - Conference Proceedings, pp. 82-88.
Lang, N., Irniger, A., Rozniak, A., Hunziker, R., Wegner, J.D., Schindler, K.: GRAINet: Mapping grain size distributions in river beds from UAV images with convolutional neural networks, Hydrology and Earth System Sciences (HESS), 2021, vol. 25(5), pp. 2567-2597.
Kalischek, N., Wegner, J.D., Schindler, K.: In the light of feature distributions: moment matching for Neural Style Transfer, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 9382-9391, doi: 10.1109/CVPR46437.2021.00926. [code]
Turkoglu, M.O., D'Aronco, S., Perich, G., Liebisch, F., Streit, C., Schindler, K. Wegner, J.D.: Crop mapping from image time series: deep learning with multi-scale label hierarchies, 2021, Remote Sensing of Environment, vol. 264, 112603, doi: 10.1016/j.rse.2021.112603.
Kölle, M., Laupheimer, D., Schmohl, S., Haala, N., Rottensteiner, F., Wegner, J.D., Ledoux, H.: The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo, ISPRS Open Journal of Photogrammetry and Remote Sensing, vol. 1, 2021, 11 pages.
Liu, Y., D'Aronco, S., Schindler, K., Wegner, J.D.: PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds, 2021, International Conference on Learning Representations (ICLR), 12 pages.
2020
Nassar, A., Lefèvre, S., Wegner, J.D.: Multi-view instance matching with learned geometric soft-constraints, 2020, ISPRS International Journal of Geo-Information, vol. 9, 687, doi:10.3390/ijgi9110687, 14 pages.
Miotti, L., Shehaj, E., Geiger, A., D'Aronco, S., Wegner, J.D., Moeller, G., Rothacher, M.: Tropospheric delays derived from ground meteorological parameters: comparison between machine learning and empirical model approaches, 2020, Proceedings of the IEEE European Navigation Conference (ENC), 10 pages.
Ruzicka, V., D'Aronco, S., Wegner, J.D., Schindler, K.: Deep Active Learning in Remote Sensing for data efficient Change Detection, 2020, Proceedings of MACLEAN: Machine Learning for Earth Observation Workshop co-located with ECML PKDD, vol. 2766, ISSN 1613-0073, 10 pages. [code] BEST PAPER AWARD
Leiterer, R., Wulf, H., Milani, G., Sassik, B., Bühler, Y., Wegner, J.D.: Schneekartierung aus dem All – das Potenzial frei verfügbarer Satellitendaten, 2020, Wasser Energie Luft, vol. 112(3), pp. 169-172.
Roscher, R., Volpi, M., Mallet, C., Drees, L., Wegner, J. D.: SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 109–116, https://doi.org/10.5194/isprs-annals-V-5-2020-109-2020, 2020. (download dataset)
Chaudhary, P., D'Aronco, S., Leitão, J.P., Schindler, K., Wegner, J.D.: Water level prediction from social media images with a multi-task ranking approach, 2020, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 167, pp. 252-262.
Nassar, A.S., D'Aronco, S., Lefèvre, S., Wegner, J.D.: GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end, 2020, European Conference on Computer Vision (ECCV), LNCS 12352, Springer, pp. 488-504.
Hackel, T., Usvyatsov, M., Galliani, S., Wegner, J.D., Schindler, K.: Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs, 2020, International Journal of Computer Vision (IJCV), vol. 128, pp. 1047-1059. [code]
Gojcic, Z., Zhou, C., Wegner, J.D., Guibas, L.J., Birdal, T.: End-to-end globally consistent registration of multiple point clouds, 2020, IEEE Conference on Computer Vision and Pattern Recognition Workshop on Deep Declarative Networks, 4 pages.
Gojcic, Z., Zhou, C., Wegner, J.D., Guibas, L.J., Birdal, T.: Learning multiview 3D point cloud registration, 2020, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1759-1769.
Laumer, D., Lang, N., van Doorn, N., Mac Aodha, O., Perona, P., Wegner, J.D.: Geocoding of trees from street addresses and street-level images, 2020, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 162, pp. 125-136.
Sharma, K., Gold, M., Zurbrügg, C., Leal-Taixé, K., Wegner, J.D.: HistoNet: Predicting size histograms of object instances, 2020, IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 3626-3634.
2019
Boller, D., Moy de Vitry, M., Wegner, J.D., Leitão, J.P.: Automated localization of urban drainage infrastructure from public-access street-level images, 2019, Urban Water Journal, vol. 16(7), pp. 480-493.
Moy de Vitry, M., Kramer, S., Wegner, J.D., Leitão, J.P.: Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network, 2019, Hydrology and Earth System Sciences, vol. 23, pp. 4621-4634.
Hohensinn, R., Geiger, A., Rothacher, M., Dahmen, N., Xu, Y., D'Aronco, S., Wegner, J.D.: High-precision GNSS for the Monitoring and Detection of Geohazards, 2019, AGU Fall Meeting.
Lang, N., Schindler, K., Wegner, J.D.: Country-wide high-resolution vegetation height mapping with Sentinel-2, 2019, Remote Sensing of Environment, vol. 233.
Nassar, A.S., Lefèvre, S., Wegner, J.D.: Simultaneous multi-view instance detection with learned geometric soft-constraints, 2019, International Conference on Computer Vision (ICCV), pp. 6559-6568.
de Lutio, R., d'Aronco, S., Wegner, J.D., Schindler, K.: Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation, 2019, International Conference on Computer Vision (ICCV), pp. 8829-8837.
Li, Z., Wegner, J.D., Lucchi, A.: Topological Map Extraction from Overhead Images, 2019, International Conference on Computer Vision (ICCV), 1715-1724.
Gojcic, Z., Zhou, C., Wegner, J.D., Wieser, A.: The Perfect Match: 3D Point Cloud Matching with Smoothed Densities, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 5545-5554.
Chaudhary, P., d‘Aronco, S., Moy de Vitry, M., Leitão, J.P., Wegner, J.D.: Flood-water level estimation from social media images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019, vol. IV-2/W5, 5 – 12. BEST PAPER AWARD
Shankar, A.R., Fernandez-Marquez, J.L., Mondardini, R., Corsi, M., Grandoni, D., Chaudhary, P., Wegner, J.D., Di Marzo Serugendo, G., Pernici, B.: Social Media and Crowdsourcing in Flood level Monitoring, 2019, EGU General Assembly, Geophysical Research Abstracts, vol. 21, EGU2019-18446-1.
Kälin, U., Lang, N., Hug, C., Gessler, A., Wegner, J.D.: Defoliation estimation of forest trees from ground-level images, Remote Sensing of Environment, vol. 223, 2019, pp. 143-153.
Rodriguez, A., Wegner, J.D.: Counting the Uncountable: Deep Semantic Density Estimation From Space, 2019, ESA Living Planet Symposium, Milan, Italy.
Lang, N., Wegner, J.D.: Mapping vegetation height from multispectral Sentinel-2 images at country scale using Deep Learning, 2019, ESA Living Planet Symposium, Milan, Italy.
Nassar, A.S., Lang, N., Lefèvre, S., Wegner, J.D.: Learning geometric soft constraints for multi-view instance matching across street-level panoramas, 2019, Joint Urban Remote Sensing Event (JURSE), Vannes, France, 2019, pp. 1-4, doi: 10.1109/JURSE.2019.8808935.
2018
Rodriguez, A., Wegner, J.D.: Counting the uncountable: deep semantic density estimation from Space, German Conference on Pattern Recognition, 2018, LNCS 11269, pp. 351-362. ORAL
Hackel, T., Usvyatsov, M., Galliani, S., Wegner, J.D., Schindler, K.: Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks, German Conference on Pattern Recognition, 2018, accepted for publication. ORAL
Stucker, C., Richard, A., Wegner, J.D., Schindler, K.: Supervised outlier detection in large-scale MVS point clouds for 3D city modeling applications, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 2018, pp. 263-270. BEST PAPER AWARD
Boller, D., Moy de Vitry, M., Wegner, J.D., Leitão, J.P.: Automatisierte Erfassung von Siedlungswässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks, Regenwassser in urbanen Räumen - acqua urbanica trifft RegenwasserTage, Schriftenreihe Wasser Infrastruktur Ressourcen, Band 1, TU Kaiserslautern, 2018, pp. 251-254.
Wegner, J.D., Tuia, D., Yang, M., Mallet, C.: Foreword to the theme issue on geospatial computer vision, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 140, 2018, pp. 1 - 2.
Wegner, J.D., Roscher, R., Volpi, M., Veronesi, F.: Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis, ISPRS International Journal of Geo-Information, vol. 7(4), 2018, p. 147.
Hackel, T., Wegner, J.D., Savinov, N., Ladicky, L., Schindler, K., Pollefeys, M.: Large-scale supervised learning for 3D point cloud labeling: Semantic3d.net, Photogrammetric Engineering and Remote Sensing, vol. 84(5), 2018, pp. 297 - 308.
Moy de Vitry, M., Wegner, J.D., Leitão, J.P.: Automatic flood level trend estimation from CCTV videos with a convolutional neural network classifier, 13th Hydroinformatics International Conference, Palermo, Italy, 2018, accepted for publication.
Branson*, S., Wegner*, J.D., Hall, D., Lang, N., Schindler, K., Perona, P.: From Google Maps to a Fine-Grained Catalog of Street trees, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 135, 2018, pp. 13 - 30. (* authors contributed equally to this publication) AWARDED BEST PAPER OF THE ISPRS JOURNAL IN 2018
Marmanis, D., Schindler, K., Wegner, J.D., Galliani, S., Datcu, M., Stilla, U. : Classification with an edge: improving semantic image segmentation with boundary detection, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 135, 2018, pp. 158 - 172.
2017
Kaiser, P., Wegner, J.D., Lucchi, A., Jaggi, M., Hofmann, T., Schindler, K.: Learning Aerial Image Segmentation from Online Maps, IEEE Transactions on Geoscience and Remote Sensing, vol. 55(11), 2017, pp. 6054 - 6068.
Blaha, M., Rothermel, M., Oswald, M., Sattler, T., Richard, A., Wegner, J.D., Pollefeys, M., Schindler, K.: Semantically Informed Multiview Surface Refinement, IEEE International Conference on Computer Vision (ICCV), 2017.
Hackel, T., Savinov, N., Ladicky, L., Wegner, J.D., Schindler, K., Pollefeys, M.: SEMANTIC3D.NET: A new large-scale point cloud classification benchmark. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-1-W1, 2017, pp.91-98.
Hackel, T., Wegner, J.D., Schindler, K.: Joint Classification and Contour Extraction of Large 3D Point Clouds, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 130, 2017, pp. 231 - 245.
Lefèvre, S., Tuia, D., Wegner, J.D., Produit, T., Nassar, A.S.: Towards seamless multi-view scene analysis from satellite to street-level, Proceedings of the IEEE, vol. 105(10), 2017, pp. 1884 - 1899.
Marmanis, D., Schindler, K., Wegner, Jan D., Datcu, M., Stilla, U.: Semantic segmentation of aerial images with explicit class-boundary modeling, In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, 2017, 4 p.
2016
Blaha, M., Vogel, C., Richard, A., Wegner, J.D., Schindler, K., Pock, T.: Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling, (supplementary), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ORAL
Wegner*, J.D., Branson*, S., Hall, D., Schindler, K., Perona, P.: Cataloging Public Objects Using Aerial and Street-Level Images – Urban Trees (supplementary) (RegisTree project website), (Demo), (LA Times article, KPCC radio interview, Caltech Press release, Futurity Research News), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (* authors contributed equally to this publication)
Hackel, T., Wegner, J.D., Schindler, K.: Contour detection in unstructured 3D point clouds, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ORAL
Marmanis, D., Wegner, J.D., Galliani, S., Schindler, K., Datcu, M., Stilla, U.: Semantic segmentation of aerial images with an ensemble of fully convolutional neural networks, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016.
Hackel, T., Wegner, J.D., Schindler, K.: Fast semantic segmentation of 3d point clouds with strongly varying density. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016.
Soergel, U., Wegner, J.D., Thiele, A.: Fusion von optischen und Radardaten, In: Heipke, C. (publisher), Freeden, W., Rummel, R. (ed.): Handbuch der Geodäsie, Berlin Heidelberg: Springer, 2016, pp. 1-37.
Marmanis, D., Kerr, Grégoire H. G., Wegner, Jan D., Schindler, K., Datcu, M., Stilla, U.: Learning Class-Contours of Very High Spatial Resolution Aerial Images Using Convolutional Neural Networks (PDF, 6.4 MB), ODAS-2016, 16th Onera-DLR Aerospace Symposium, Oberpfaffenhofen, 2016.
Maros Blahá, Christoph Vogel, Audrey Richard, Jan D. Wegner, Thomas Pock, Konrad Schindler. Towards integrated 3d reconstruction and semantic interpretation of urban scenes (PDF, 10.6 MB). In Dreiländertagung, D-A-CH Photogrammetry Meeting, Bern, Switzerland, 2016.
2015
Theiler, P., Wegner, J.D., Schindler, K.: Globally Consistent Registration of Terrestrial Laser Scans via Graph Optimization (PDF, 18.2 MB), ISPRS Journal of Photogrammetry and Remote Sensing, vol. 109, 2015, pp. 126 - 136.
Wegner, J.D., Montoya, J., Schindler, K.: Road networks as collections of minimum cost paths, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 108, 2015, pp. 128-137.
Montoya, J., Wegner, J.D., Ladický, L., Schindler, K.: On the evaluation of higher-order cliques for road network extraction, In: Joint Urban Remote sensing Event (JURSE), Lausanne, Switzerland, 2015.
Monntoya, J., Wegner, J.D., Ladický, L., Schindler, K.: Semantic segmentation of aerial images in urban areas with class-specific higher-order cliques, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II(3/W4), 2015, pp. 127-133. BEST PAPER AWARD
Tokarczyk, P., Wegner, J.D., Walk, S., Schindler, K.: Features, color spaces, and boosting: New insights on semantic classification of remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, vol. 53(1), 2015, pp. 280-295.
2014
Theiler, P., Wegner, J.D., Schindler, K.: Keypoint-based 4-Points Congruent Sets - automated marker-less registration of laser scans, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 96, 2014, pp. 149-163.
Wegner, J.D., Ziehn, J.R., Soergel, U.: Combining high-resolution optical and InSAR features for height estimation of buildings with flat roofs, IEEE Transactions on Geoscience and Remote Sensing, vol. 52(9), 2014, pp. 5840-5854.
Rottensteiner, F., Sohn, G., Gerke, M., Wegner, J.D., Breitkopf, U., Jung, J.: Results of the ISPRS Benchmark on Urban Object Detection and 3D Building Reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 93, 2014, pp. 256–271.
Theiler, P., Wegner, J.D., Schindler, K.: Fast registration of laser scans with 4-points congruent sets - what works and what doesn't, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II-3, 2014, pp. 149-156.
Montoya, J., Wegner, J.D., Ladický, L., Schindler, K.: Mind the gap: modeling local and global context in (road) networks, German Conference on Pattern Recognition (GCPR), Münster, Germany, 2014.
Wegner, J.D., Montoya, J., Schindler, K.: Extract of road networks from aerial photos with minimum cost paths and P^N-Potts potentials, In: Proceedings of 12th Swiss Geoscience Meeting, Fribourg, 2014.
2013
Wegner, J.D., Montoya, J., Schindler, K.: A higher-order CRF model for road network extraction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, 2013.
Theiler, P., Wegner, J.D., Schindler, K.: Markerless point cloud registration with keypoint-based 4-points congruent sets, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II(5/W2), 2013, pp. 283-288.
Sasagawa, A., Baltsavias, E., Kocaman Aksakal, S., Wegner, J.D.: Investigation on automatic change detection using pixel-changes and DSM-changes with ALOS-PRISM triplet images, ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL(7/W2), 2013, pp. 213-217.
Tokarczyk, P., Wegner, J.D., Walk, S., Schindler, K.: Beyond hand-crafted features in remote sensing, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II(3/W1), 2013, pp. 35-40.
Kohoutek, T., Mautz, R., Wegner, J.D.: Fusion of Building Information and Range Imaging for Autonomous Location Estimation in Indoor Environments, Sensors, vol. 13(2), 2013, pp. 2430-2446.
2012
Wegner, J.D., Rosenhahn, B., Soergel, U.: Segmentation and classification of objects with implicit scene context, In: Dellaert, F., Frahm, J.-M., Pollefeys, M., Rosenhahn, B. (eds.), Outdoor and Large-Scale Real-World Scene Analysis, Dagstuhl Seminar 11261, LNCS 7474, Berlin: Springer, 2012, pp. 264-284.
Ok, A. O., Wegner, J.D., Heipke, C., Rottensteiner, F., Soergel, U., Toprak, V.: Matching of Straight Line Segments from Aerial Stereo Images of Urban Areas, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 74, 2012, pp. 133–152.
Ok, A. O., Wegner, J.D., Heipke, C., Rottensteiner, F., Soergel, U., Toprak, V.: Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images, Photogrammetrie, Fernerkundung, Geoinformation (PFG), vol. 4, 2012, pp. 341–354.
2011
Niemeyer, J., Wegner, J.D., Mallet, C., Rottensteiner, F., Soergel, U.: Conditional Random Fields For Urban Scene Classification With Full Waveform LiDAR Data, In: Stilla, U., Rottensteiner, F., Mayer, H., Jutzi, B., Butenuth, M. (eds.), Photogrammetric Image Analysis, LNCS 6952, Berlin: Springer, 2011, pp. 233-244.
Ok, A.O., Wegner, J.D., Heipke, C., Rottensteiner, F., Soergel, U., Toprak, V.: In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets, In: Stilla, U., Rottensteiner, F., Mayer, H., Jutzi, B., Butenuth, M. (eds.), Photogrammetric Image Analysis, LNCS 6952, Berlin: Springer, 2011, pp. 61-72.
Wegner, J.D., Rosenhahn, B., Soergel, U.: Implicit scene context for object segmentation and classification, In: Mester, R., Felsberg, M. (eds.), DAGM, LNCS 6835, Berlin: Springer, 2011, pp. 31-40.
Wegner, J.D., Rosenhahn, B., Soergel, U.: Segment-based building detection with Conditional Random Fields, In: Stilla, U., Gamba, P., Juergens, C., Maktav, D. (eds.), Proceedings of 6th IEEE/GRSS/ISPRS Joint Urban Remote Sensing Event, Munich, 2011, pp. 205-208.
Wegner, J.D., Hänsch, R., Thiele, A., Soergel, U.: Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields, IEEE Journal of selected topics in applied Earth Observations and Remote Sensing, vol. 4(1), 2011, pp. 83-91.
WEGNER, J.D.: DETECTION AND HEIGHT ESTIMATION OF BUILDINGS FROM SAR AND OPTICAL IMAGES USING CONDITIONAL RANDOM FIELDS, DISSERTATION, 2011.
Wegner, J.D., Soergel, U.: A contextual approach to building extraction combining high-resolution InSAR and optical data, In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Vancouver, 2011, 4 p., CD.
Ok, A.O., Wegner, J.D., Heipke, C.,Rottensteiner, F., Soergel, U., Toprak, V.: Accurate Matching and Reconstruction of Line Features from ultra high resolution Stereo Aerial Images, In: Heipke, C., Jacobsen, K., Rottensteiner, F., Müller, S., Soergel, U. (eds.), Proceedings of ISPRS Hannover Workshop, Hannover, IAPRS, vol. 38(4/W19), 2011, 6 p., CD.
Schunert, A., Michaelsen, E., Wegner, J.D., Soergel, U.: Erkennung von Gebäudestrukturen anhand von Mustern punktförmiger Reflektoren in SAR-Bildern, In: Busch, W., Niemeier, W., Soergel, U. (eds.), Proceedings of Geomonitoring, Clausthal, 2011, pp. 91-100.
2010
Thiele, A., Wegner, J.D., Soergel, U.: Building Reconstruction from Multi-Aspect InSAR Data, In: Soergel, U. (ed.): Radar Remote Sensing of Urban Areas, Berlin: Springer, 2010, pp. 187-214.
Wegner, J.D., Auer, S., Soergel, U.: Extraction and Geometrical Accuracy of Double-bounce Lines in High-Resolution SAR Images, Photogrammetric Engineering & Remote Sensing, vol. 76(9), 2010, pp. 1071-1080.
Wegner, J.D., Ok, A.O., Thiele, A., Rottensteiner, F., Soergel, U.: Urban building detection from optical and InSAR features exploiting context, In: Paparoditis, N., Pierrot-Deseilligny, M., Mallet, C., Tournaire, O. (eds.), Proceedings of Photogrammetric Computer Vision and Image Analysis Conference, Paris, IAPRS, vol. 38(3A), 2010, pp. 239-244.
Ok, A.O., Wegner, J.D., Heipke, C., Rottensteiner, F., Soergel, U., Toprak, V.: A new straight line reconstruction methodology from multi-spectral stereo aerial images, In: Paparoditis, N., Pierrot-Deseilligny, M., Mallet, C., Tournaire, O. (eds.), Proceedings of Photogrammetric Computer Vision and Image Analysis Conference, Paris, IAPRS, vol. 38(3A), 2010, pp. 25-30.
Wegner, J.D., Hänsch, R.,Thiele, A., Soergel, U.: Fusion of high-resolution InSAR data and optical imagery for building detection using Conditional Random Fields, In: Ender, J., Riegger, S., Weiß, M. (eds.), Proceedings of 8th European Conference on Synthetic Aperture Radar, Aachen, 2010, pp. 1090-1093. invited paper
Balz, T., Wegner, J.D., Schunert, A., Liu, K., Soergel, U., Liao, M.: Persistent Scatterer localization and prediction technique, In: Proceedings of International Workshop Spatial Information Technologies for Monitoring the Deformation of Large-Scale Man-made Linear Features, Hongkong, 2010, 7 p., CD.
Ok, A.O., Wegner, J.D., Heipke, C., Rottensteiner, F., Soergel, U., Toprak, V.: A Stereo Line Matching Technique For Aerial Images Based On A Pair-Wise Relation Approach, In: ISPRS Istanbul Workshop, Istanbul, IAPRS, vol. 38(1/W17), 2010, 7 p., CD.
Schunert, A., Balz, T., Liu, K., Liao, M., Soergel, U., Wegner, J.D.: Simulation Assisted High-Resolution PSI Analysis, In: ISPRS Technical Commission 7 Symposium, Vienna, IAPRS, vol. 38(7B), 2010, pp. 498-503.
Wegner, J.D., Nezam, S., Müller, S., Soergel, U.: Comparison of land cover classification using high-resolution TerraSAR-X and optical imagery, In: Ender, J., Riegger, S., Weiß, M. (eds.), Proceedings of 8th European Conference on Synthetic Aperture Radar, Aachen, 2010, pp. 238-241.
Wegner, J.D., Schunert, A., Soergel, U.: Recognition of building features in high-resolution SAR and optical imagery, In: Reiterer, A., Egly, U., Heinert, M., Riedel, B. (eds.), Proceedings of 2nd International Workshop Application of Artificial Intelligence and Innovations in Engineering Geodesy, Braunschweig, 2010, pp. 42-46.
Wegner, J.D., Ziehn, J.R., Soergel, U.: Building detection and height estimation from high-resolution InSAR and optical data, In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Honolulu, 2010, pp. 1928-1931.
Wegner, J.D., Ziehn, J.R., Soergel, U.: Building detection in urban areas from combined optical and InSAR data exploiting context, In: Proceedings of EARSeL Workshop, Gent, 2010, 8 p., CD.
2009
Wegner, J.D., Thiele, A., Soergel, U.: Fusion of optical and InSAR features for building recognition in urban areas, In: Stilla, U., Rottensteiner, F., Paparoditis, N. (eds.), Proceedings of City Models, Roads and Traffic Conference, Paris, IAPRS, vol. 38(3/W4), 2009, pp. 169-174.
Wegner, J.D., Thiele, A., Soergel, U.: Building extraction in urban scenes from high-resolution InSAR data and optical imagery, In: Qingxi, T., Gamba, P., Juergens, C., Maktav, D. (eds.), Proceedings of 5th IEEE/GRSS/ISPRS Joint Urban Remote Sensing Event, Shanghai, 2009, 6 p., CD. invited paper
Wegner, J.D., Auer, S., Soergel, U.: Analyse urbaner Gebiete mit optischen Bildern und SAR-Bildern sehr hoher Auflösung, In: Proceedings of DGPF Jahrestagung, Jena, vol. 18, 2009, pp. 387-398.
Wegner, J.D., Auer, S., Thiele, A., Soergel, U.: Analysis of urban areas combining high-resolution optical and SAR imagery, In: Proceedings of 29th EARSeL Symposium, Chania, 2009, 8 p., CD.
2008
Wegner, J.D., Inglada, J., Tison, C.: Automatic Fusion of SAR and Optical Imagery based on Line Features, In: Riegger, S., Moreira, A., Heer, C. (eds.), Proceedings of 7th European Conference on Synthetic Aperture Radar, Friedrichshafen, 2008, pp. 171-174.
Wegner, J.D., Soergel, U.: Registration of SAR and optical images containing bridges over land, In: Proceedings of EARSeL Workshop, Bochum, 2008, 8 p., CD.
Wegner, J.D., Soergel, U.: Bridge height estimation from combined high-resolution optical and SAR imagery, In: Proceedings of ISPRS Symposium, Beijing, IAPRS, vol. 37(B7/3), 2008, pp. 1071-1076.
