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09/15/2023
Optimization of Rank Losses for Image Retrieval
In image retrieval, standard evaluation metrics rely on score ranking, a...
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07/05/2022
Hierarchical Average Precision Training for Pertinent Image Retrieval
Image Retrieval is commonly evaluated with Average Precision (AP) or Rec...
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02/03/2022
Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities
This paper introduces a new efficient autoprecoder (AP) based deep learn...
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10/28/2021
Multi-Attribute Balanced Sampling for Disentangled GAN Controls
Various controls over the generated data can be extracted from the laten...
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10/01/2021
Robust and Decomposable Average Precision for Image Retrieval
In image retrieval, standard evaluation metrics rely on score ranking, e...
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08/26/2021
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
Web Image Context Extraction (WICE) consists in obtaining the textual in...
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07/27/2021
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation
We present PKSpell: a data-driven approach for the joint estimation of p...
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10/15/2020
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
The development of semi-supervised learning techniques is essential to e...
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09/04/2019
Distance transform regression for spatially-aware deep semantic segmentation
Understanding visual scenes relies more and more on dense pixel-wise cla...
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07/15/2019
Multimodal deep networks for text and image-based document classification
Classification of document images is a critical step for archival of old...
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04/24/2019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
In recent years, deep learning techniques revolutionized the way remote ...
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06/07/2018
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples
This work addresses the scarcity of annotated hyperspectral data require...
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11/23/2017
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
In this work, we investigate various methods to deal with semantic label...
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05/17/2017
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
In this work, we investigate the use of OpenStreetMap data for semantic ...
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01/20/2017
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)
In this work, we present a novel module to perform fusion of heterogeneo...
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09/22/2016
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?
In this paper, we investigate the impact of segmentation algorithms as a...
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09/22/2016
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
This work investigates the use of deep fully convolutional neural networ...
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09/22/2016