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Research Output 2017 2019

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Conference contribution
2019

Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery

Kellenberger, B., Marcos, D. & Tuia, D., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 630-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Best Practice
Curricula
Recommendations
Animals
Antennas

Change detection between digital surface models from airborne laser scanning and dense matching using convolutional neural networks

Zhang, Z., Vosselman, G., Gerke, M., Persello, C., Tuia, D. & Yang, M. Y., 29 May 2019, ISPRS Geospatial Week 2019, 10–14 June 2019, Enschede, The Netherlands. ISPRS, p. 453-460 8 p. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; vol. IV-2/W5).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
airborne lasers
change detection
raster
laser
Neural networks
2018

A Deep Network Approach to Multitemporal Cloud Detection

Tuia, D., Kellenberger, B., Perez-suey, A. & Camps-valls, G., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 4351-4354

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Meteosat
pixel
learning
time series
detection
2 Citations (Scopus)

Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence

Vargas-Munoz, J. E., Marcos, D., Lobry, S., dos Santos, J. A., Falcao, A. X. & Tuia, D., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 1284-1287

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

field method
train
imagery
developing world
alignment
17 Citations (Scopus)

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Demir, I., Koperski, K., Lindenbaum, D., Pang, G., Huang, J., Basu, S., Hughes, F., Tuia, D. & Raska, R., 2018, Proceedings 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2018. IEEE, p. 17200-17209

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Computer vision
Earth (planet)
Satellites
Image understanding
Remote sensing
2 Citations (Scopus)

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Damodaran, B. B., Kellenberger, B., Flamary, R., Tuia, D. & Courty, N., 6 Oct 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Springer Verlag, p. 467-483 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11208 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Optimal Transport
Joint Distribution
Classifiers
Classifier
Computer vision

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport

Kellenberger, B., Marcos, D., Courty, N. & Tuia, D., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 3643-3646

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Image acquisition
Unmanned aerial vehicles (UAV)
Animals
Chemical activation
Neural networks

Detection of unsigned ephemeral road incidents by visual cues learned from first-on-scene vehicles

Levering, A., Khoshelham, K., Tuia, D. & Tomko, M., 2018, 10th International Conference on Geographic Information Science (GIScience 2018). Winter, S., Griffin, A. & Sester, M. (eds.). Wadern, p. 5-8 (LIPIcs–Leibniz International Proceedings in Informatics; vol. 114).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access

Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction

Marinoni, A., Gamba, P., De Vecchi, D. & Tuia, D., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 2062-2065

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Air pollution
Air quality
Feature extraction
Public administration
Sustainable development
3 Citations (Scopus)

Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs

Maggiolo, L., Marcos, D., Moser, G. & Tuia, D., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 2099-2102

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Neural networks
Image resolution
Pixels
Chemical activation
Semantics
2 Citations (Scopus)

Learning Deep Structured Active Contours End-to-End

Marcos, D., Tuia, D., Kellenberger, B., Zhang, L., Bai, M., Liao, R. & Urtasun, R., 14 Dec 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE computer society, p. 8877-8885 8579023

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Neural networks
Parameterization
Fusion reactions
Deep learning
1 Citation (Scopus)

Multi-label building functions classification from ground pictures using convolutional neural networks

Srivastava, S., Vargas Muñoz, J. E., Swinkels, D. & Tuia, D., 6 Nov 2018, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. New York: ACM, p. 43-46

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Labels
Neural networks
Electric fuses