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2020 – today
- 2023
[i48]Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider:
Artificial intelligence to advance Earth observation: a perspective. CoRR abs/2305.08413 (2023)- 2022
- [j71]Yuansheng Hua
, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images With Sparse Annotations. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j70]Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7296-7306 (2022) - [j69]Luca Maggiolo, Diego Marcos, Gabriele Moser, Sebastiano B. Serpico, Devis Tuia:
A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j68]Adugna G. Mullissa, Diego Marcos, Devis Tuia, Martin Herold, Johannes Reiche:
deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j67]Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata:
Attribute Prediction as Multiple Instance Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c103]Li Mi, Siran Li, Christel Chappuis, Devis Tuia:
Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images. CDCEO@IJCAI 2022: 14-20 - [c102]Benjamin Kellenberger, Devis Tuia:
Block Label Swap for Species Distribution Modelling. CLEF (Working Notes) 2022: 2103-2114 - [c101]Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. CVPR Workshops 2022: 1371-1380 - [c100]João Daniel Silva, João Magalhães, Devis Tuia, Bruno Martins:
Remote sensing visual question answering with a self-attention multi-modal encoder. GeoAI@SIGSPATIAL 2022: 40-49 - [c99]Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Language Transformers for Remote Sensing Visual Question Answering. IGARSS 2022: 4855-4858 - [c98]Marc Rußwurm, Sherrie Wang, Devis Tuia:
Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover. IGARSS 2022: 4859-4862 - [c97]John E. Vargas-Muñoz, Diego Schibli, Devis Tuia:
Towards Efficient Correction of Coconut Tree Detection Errors. IGARSS 2022: 5065-5068 - [c96]Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia:
Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. IGARSS 2022: 5085-5088 - [i47]Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna M. Kruspe, Karam Abdulahhad:
Geo-Information Harvesting from Social Media Data. CoRR abs/2211.00543 (2022) - [i46]Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia:
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR abs/2211.04039 (2022) - 2021
- [j66]John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão:
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. Int. J. Geogr. Inf. Sci. 35(9): 1725-1745 (2021) - [j65]Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham:
Detecting Unsigned Physical Road Incidents From Driver-View Images. IEEE Trans. Intell. Veh. 6(1): 24-33 (2021) - [j64]Marta Sapena, Michael Wurm, Hannes Taubenböck, Devis Tuia, Luis Ángel Ruiz Fernández:
Estimating quality of life dimensions from urban spatial pattern metrics. Comput. Environ. Urban Syst. 85: 101549 (2021) - [c95]Alex Levering, Diego Marcos, Ilan Havinga, Devis Tuia:
Cross-Modal Learning of Housing Quality in Amsterdam. GeoAI@SIGSPATIAL 2021: 1-4 - [c94]Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia:
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. ICCVW 2021: 732-741 - [c93]Ilan Havinga, Diego Marcos, Patrick W. Bogaart, Lars Hein, Devis Tuia:
Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media. IGARSS 2021: 188-191 - [c92]Sylvain Lobry, Begüm Demir, Devis Tuia:
RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing. IGARSS 2021: 1218-1221 - [c91]Alex Levering, Diego Marcos, Devis Tuia:
Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks. IGARSS 2021: 2094-2097 - [c90]Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia:
How to find a good image-text embedding for remote sensing visual question answering? MACLEAN@PKDD/ECML 2021 - [i45]Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images with Sparse Annotations. CoRR abs/2101.03492 (2021) - [i44]Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia:
Self-supervised pre-training enhances change detection in Sentinel-2 imagery. CoRR abs/2101.08122 (2021) - [i43]Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls:
Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR abs/2104.05107 (2021) - [i42]Devis Tuia, Claudio Persello, Lorenzo Bruzzone:
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. CoRR abs/2104.07778 (2021) - [i41]Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí:
A survey of active learning algorithms for supervised remote sensing image classification. CoRR abs/2104.07784 (2021) - [i40]Devis Tuia, Jordi Muñoz-Marí:
Learning User's confidence for active learning. CoRR abs/2104.07791 (2021) - [i39]Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls:
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR abs/2104.07803 (2021) - [i38]Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran:
Mapping Vulnerable Populations with AI. CoRR abs/2107.14123 (2021) - [i37]Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia:
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. CoRR abs/2108.07582 (2021) - [i36]Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia:
How to find a good image-text embedding for remote sensing visual question answering? CoRR abs/2109.11848 (2021) - [i35]Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf:
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR abs/2110.12951 (2021) - [i34]Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls:
Deep Learning and Earth Observation to Support the Sustainable Development Goals. CoRR abs/2112.11367 (2021) - 2020
- [j63]Shivangi Srivastava, John E. Vargas-Munoz, Sylvain Lobry, Devis Tuia:
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data. Int. J. Geogr. Inf. Sci. 34(6): 1117-1136 (2020) - [j62]Pim Arendsen, Diego Marcos, Devis Tuia:
Concept Discovery for The Interpretation of Landscape Scenicness. Mach. Learn. Knowl. Extr. 2(4): 397-413 (2020) - [j61]Devis Tuia, Ronny Hänsch, Naoto Yokoya, Myron Brown, Bertrand Le Saux:
Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6515-6518 (2020) - [j60]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
RSVQA: Visual Question Answering for Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 58(12): 8555-8566 (2020) - [c89]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. ACCV (4) 2020: 351-368 - [c88]Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher:
A Whale's Tail - Finding the Right Whale in an Uncertain World. xxAI@ICML 2020: 297-313 - [c87]Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia:
Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery. ICPR Workshops (7) 2020: 578-590 - [c86]Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu:
Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. IGARSS 2020: 525-528 - [c85]Gustau Camps-Valls, Markus Reichstein, Xiaoxiang Zhu, Devis Tuia:
ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY. IGARSS 2020: 3979-3982 - [c84]Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia:
Interpretable Scenicness from Sentinel-2 Imagery. IGARSS 2020: 3983-3986 - [i33]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
RSVQA: Visual Question Answering for Remote Sensing Data. CoRR abs/2003.07333 (2020) - [i32]Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham:
Detecting Unsigned Physical Road Incidents from Driver-View Images. CoRR abs/2004.11824 (2020) - [i31]John E. Vargas, Shivangi Srivastava, Devis Tuia, Alexandre X. Falcão:
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing. CoRR abs/2007.06277 (2020) - [i30]John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão:
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. CoRR abs/2009.08188 (2020) - [i29]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. CoRR abs/2009.08720 (2020) - [i28]Devis Tuia, Diego Marcos, Gustau Camps-Valls:
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR abs/2012.04469 (2020) - [i27]Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A deep network approach to multitemporal cloud detection. CoRR abs/2012.10393 (2020)
2010 – 2019
- 2019
- [j59]Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, Michael Ying Yang:
Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data. Remote. Sens. 11(20): 2417 (2019) - [j58]Wolfgang Groß, Devis Tuia, Uwe Soergel, Wolfgang Middelmann:
Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects. IEEE Trans. Geosci. Remote. Sens. 57(8): 5975-5990 (2019) - [j57]Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia:
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. IEEE Trans. Geosci. Remote. Sens. 57(12): 9524-9533 (2019) - [c83]Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia:
Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS 2019: 849-858 - [c82]Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia:
Adaptive Compression-based Lifelong Learning. BMVC 2019: 153 - [c81]Benjamin Kellenberger, Diego Marcos, Devis Tuia:
When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. CVPR Workshops 2019: 1414-1422 - [c80]Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. ICCV Workshops 2019: 4207-4215 - [c79]Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia:
Visual Question Answering From Remote Sensing Images. IGARSS 2019: 4951-4954 - [c78]Jesse Murray, Diego Marcos, Devis Tuia:
Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs. IGARSS 2019: 5240-5243 - [c77]John E. Vargas-Muñoz, Ping Zhou, Alexandre X. Falcão, Devis Tuia:
Interactive Coconut Tree Annotation Using Feature Space Projections. IGARSS 2019: 5718-5721 - [c76]Sylvain Lobry, Devis Tuia:
Deep Learning Models to Count Buildings in High-Resolution Overhead Images. JURSE 2019: 1-4 - [c75]Cyril Wendl, Diego Marcos, Devis Tuia:
Novelty detection in very high resolution urban scenes with Density Forests. JURSE 2019: 1-4 - [d2]Devis Tuia, Gabriele Moser, Bertrand Le Saux, Benjamin Bechtel:
Data Fusion Contest 2017 (DFC2017). IEEE DataPort, 2019
- [d1]Devis Tuia, Gabriele Moser, Bertrand Le Saux, Roberto Fabrizi, Sven Cowan:
Data Fusion Contest 2016 (DFC2016). IEEE DataPort, 2019 - [i26]John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia:
Correcting rural building annotations in OpenStreetMap using convolutional neural networks. CoRR abs/1901.08190 (2019) - [i25]Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR abs/1904.03936 (2019) - [i24]Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia:
Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution. CoRR abs/1905.01752 (2019) - [i23]Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia:
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. CoRR abs/1907.07319 (2019) - [i22]Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia:
Adaptive Compression-based Lifelong Learning. CoRR abs/1907.09695 (2019) - [i21]Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. CoRR abs/1909.08442 (2019) - 2018
- [j56]Matthew Parkan, Devis Tuia:
Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering. Remote. Sens. 10(2): 335 (2018) - [j55]Naoto Yokoya, Pedram Ghamisi, Junshi Xia, Sergey Sukhanov, Roel Heremans, Ivan Tankoyeu, Benjamin Bechtel, Bertrand Le Saux, Gabriele Moser, Devis Tuia:
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1363-1377 (2018) - [j54]Prashanth Reddy Marpu, Devis Tuia, Clément Mallet:
Foreword to the Special Issue on Urban Remote Sensing for Smarter Cities. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2575-2577 (2018) - [j53]Devis Tuia, Michele Volpi, Gabriele Moser:
Decision Fusion With Multiple Spatial Supports by Conditional Random Fields. IEEE Trans. Geosci. Remote. Sens. 56(6): 3277-3289 (2018) - [c74]Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar:
DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images. CVPR Workshops 2018: 172-181 - [c73]Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun:
Learning Deep Structured Active Contours End-to-End. CVPR 2018: 8877-8885 - [c72]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) 2018: 467-483 - [c71]Shivangi Srivastava, John E. Vargas-Muñoz, David Swinkels, Devis Tuia:
Multilabel Building Functions Classification from Ground Pictures using Convolutional Neural Networks. GeoAI@SIGSPATIAL 2018: 43-46 - [c70]John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falcão, Devis Tuia:
Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. IGARSS 2018: 1284-1287 - [c69]Andrea Marinoni, Paolo Gamba, Daniele De Vecchi, Devis Tuia:
Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction. IGARSS 2018: 2062-2065 - [c68]Luca Maggiolo, Diego Marcos, Gabriele Moser, Devis Tuia:
Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. IGARSS 2018: 2099-2102 - [c67]Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia:
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS 2018: 3643-3646 - [c66]Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A Deep Network Approach to Multitemporal Cloud Detection. IGARSS 2018: 4351-4354 - [c65]Benjamin Kellenberger, Diego Marcos, Devis Tuia:
Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. ECML/PKDD (3) 2018: 630-634 - [i20]Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia:
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. CoRR abs/1803.06253 (2018) - [i19]Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun:
Learning deep structured active contours end-to-end. CoRR abs/1803.06329 (2018) - [i18]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR abs/1803.10081 (2018) - [i17]Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar:
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images. CoRR abs/1805.06561 (2018) - [i16]Benjamin Kellenberger, Diego Marcos, Devis Tuia:
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. CoRR abs/1806.11368 (2018) - [i15]Zhenchao Zhang, George Vosselman, Markus Gerke, Devis Tuia, Michael Ying Yang:
Change Detection between Multimodal Remote Sensing Data Using Siamese CNN. CoRR abs/1807.09562 (2018) - [i14]Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia:
Scale equivariance in CNNs with vector fields. CoRR abs/1807.11783 (2018) - [i13]Michele Volpi, Devis Tuia:
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images. CoRR abs/1808.07675 (2018) - [i12]Devis Tuia, Michele Volpi, Gabriele Moser:
Decision fusion with multiple spatial supports by conditional random fields. CoRR abs/1808.08024 (2018) - 2017
- [j52]Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy:
Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1853-1865 (2017) - [j51]Sébastien Lefèvre, Devis Tuia, Jan Dirk Wegner, Timothée Produit, Ahmed Samy Nassar:
Toward Seamless Multiview Scene Analysis From Satellite to Street Level. Proc. IEEE 105(10): 1884-1899 (2017) - [j50]Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia:
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3435-3447 (2017) - [j49]Michele Volpi, Devis Tuia:
Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(2): 881-893 (2017) - [c64]Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia:
Rotation Equivariant Vector Field Networks. ICCV 2017: 5058-5067 - [c63]Benjamin Kellenberger, Michele Volpi, Devis Tuia:
Fast animal detection in UAV images using convolutional neural networks. IGARSS 2017: 866-869 - [c62]John E. Vargas-Munoz, Devis Tuia, Jefersson A. dos Santos, Alexandre X. Falcão:
Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation. IGARSS 2017: 3688-3691 - [c61]Shivangi Srivastava, Michele Volpi, Devis Tuia:
Joint height estimation and semantic labeling of monocular aerial images with CNNS. IGARSS 2017: 5173-5176 - [c60]Benjamin Bechtel, Olaf Conrad, Matthias Tamminga, Marie-Leen Verdonck, Frieke Van Coillie, Devis Tuia, Matthias Demuzere, Linda See, Patricia Lopes, Cidália Costa Fonte, Yong Xu, Chao Ren, Gerald Mills, N. Kaloustian, Arthur Cassone:
Beyond the urban mask. JURSE 2017: 1-4 - [c59]Benjamin Kellenberger, Michele Volpi, Devis Tuia:
Learning class- and location-specific priors for urban semantic labeling with CNNs. JURSE 2017: 1-4 - [c58]Devis Tuia, Gabriele Moser, Michael Wurm, Hannes Taubenböck:
Land use modeling in North Rhine-Westphalia with interaction and scaling laws. JURSE 2017: 1-4 - [i11]Sébastien Lefèvre, Devis Tuia, Jan Dirk Wegner, Timothée Produit, Ahmed Samy Nassar:
Towards seamless multi-view scene analysis from satellite to street-level. CoRR abs/1705.08101 (2017) - [i10]Rey Nicolas, Michele Volpi, Stéphane Joost, Devis Tuia:
Detecting animals in African Savanna with UAVs and the crowds. CoRR abs/1709.01722 (2017) - [i9]Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer:
Deep learning in remote sensing: a review. CoRR abs/1710.03959 (2017) - 2016
- [j48]Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Rey Nicolas, Julien Briant, Pauline M. Rudd, Friedrich Reinhard, Matthew Parkan, Stéphane Joost:
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. Big Data 4(1): 47-59 (2016) - [j47]Devis Tuia, Paolo Gamba, Carsten Jürgens, Derya Maktav:
Foreword to the Special Issue on Urban Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(5): 1763-1766 (2016) - [j46]Devis Tuia, Jan Dirk Wegner, Clément Mallet, Michael Ying Yang:
Foreword to the Special Issue on "GeoVision: Computer Vision for Geospatial Applications". IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2840-2843 (2016) - [j45]