Hicham Randrianarivo

According to our database1, Hicham Randrianarivo authored at least 12 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020
Graphcore C2 Card performance for image-based deep learning application: A Report.
CoRR, 2020

QISS: An Open Source Image Similarity Search Engine.
Proceedings of the Advances in Information Retrieval, 2020

2019
Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research.
CoRR, 2019

Weakly Supervised Semantic Segmentation of Satellite Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019

2017
Deep learning for urban remote sensing.
Proceedings of the Joint Urban Remote Sensing Event, 2017

2016
Apprentissage statistique de classes sémantiques pour l'interprétation d'images aériennes. (Statistical learning of classes Semantics for interpretation Aerial images).
PhD thesis, 2016

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Multimodal classification with deformable part-based models for urban cartography.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Urban change detection in SAR images by interactive learning.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Urban structure detection with deformable part-based models.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


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