Nicolas Audebert

CoRR, 2024

GalLoP: Learning Global and Local Prompts for Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Cross-sensor self-supervised training and alignment for remote sensing.

[BibT_eX]

[DOI]

Valerio Marsocci

CoRR, 2024

Semantic Generative Augmentations for Few-Shot Counting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models.

[BibT_eX]

[DOI]

Georges Le Bellier

Raphaël Fournier-S'niehotta

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Optimization of Rank Losses for Image Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

Wasserstein loss for Semantic Editing in the Latent Space of GANs.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022

MiniFrance.

[BibT_eX]

[DOI]

Javiera Castillo-Navarro

Dataset, June, 2022

Multi-attribute balanced sampling for disentangled GAN controls.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study.

[BibT_eX]

[DOI]

Javiera Castillo-Navarro

Mach. Learn., 2022

Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Hierarchical Average Precision Training for Pertinent Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree.

[BibT_eX]

[DOI]

Chen Dang

Hicham Randrianarivo

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Robust and Decomposable Average Precision for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation.

[BibT_eX]

[DOI]

Francesco Foscarin

Raphaël Fournier-S'niehotta

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection.

[BibT_eX]

[DOI]

Clément Rambour

Elise Colin Koeniguer

Michel Crucianu

Mihai Datcu

Dataset, December, 2020

2019

Distance transform regression for spatially-aware deep semantic segmentation.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2019

Deep Learning for Classification of Hyperspectral Data: A Comparative Review.

[BibT_eX]

[DOI]

CoRR, 2019

Multimodal Deep Networks for Text and Image-Based Document Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

What Data are needed for Semantic Segmentation in Earth Observation?

[BibT_eX]

[DOI]

Javiera Castillo-Navarro

Proceedings of the Joint Urban Remote Sensing Event, 2019

2018

Classification de données massives de télédétection. (Classification of big remote sensing data).

[BibT_eX]

[DOI]

PhD thesis, 2018

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks.

[BibT_eX]

[DOI]

Comput. Graph., 2018

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Object Detection in Remote Sensing Images with Center Only.

[BibT_eX]

[DOI]

Adrien Chan-Hon-Tong

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images.

[BibT_eX]

[DOI]

Remote. Sens., 2017

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper).

[BibT_eX]

[DOI]

CoRR, 2017

Fusion of heterogeneous data in convolutional networks for urban semantic labeling.

[BibT_eX]

[DOI]

Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep learning for urban remote sensing.

[BibT_eX]

[DOI]

Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep learning for semantic segmentation of remote sensing images with rich spectral content.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Deformable Shape Retrieval with Missing Parts.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys.

[BibT_eX]

[DOI]

Frederico A. Limberger

Santiago Velasco-Forero

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks.

[BibT_eX]

[DOI]

Alexandre Boulch

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

2016

On the usability of deep networks for object-based image analysis.

[BibT_eX]

[DOI]

CoRR, 2016

How useful is region-based classification of remote sensing images in a deep learning framework?

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks.

[BibT_eX]

[DOI]