Onur Tasar

Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis pdf

Selim Aksoy, Baris Gecer, Ozge Yalcinkaya, 2015, ArXiv.

Object detection using optical and LiDAR data fusion

Selim Aksoy, Onur Tasar, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

New Results - Reconstruction

Florent Lafarge, Pierre Alliez, Onur Tasar, 2013 .

Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data

Pierre Alliez, Yuliya Tarabalka, Onur Tasar, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks

Pierre Alliez, Yuliya Tarabalka, Onur Tasar, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation

Guillaume Charpiat, Yuliya Tarabalka, Onur Tasar, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis

Sébastien Lefèvre, Onur Tasar, David Sheeren, 2019, ISPRS Int. J. Geo Inf..

Combining multiple segmentations through a flexible framework

Sébastien Lefèvre, Onur Tasar, David Sheeren, 2018 .

Deep Domain Adaptation in Earth Observation

Nicolas Courty, Devis Tuia, Benjamin Kellenberger, 2021, Deep Learning for the Earth Sciences.

DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic Segmentation of Satellite Images

Pierre Alliez, Yuliya Tarabalka, Sébastien Clerc, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Polygonization of Binary Classification Maps Using Mesh Approximation with Right Angle Regularity

Pierre Alliez, Emmanuel Maggiori, Yuliya Tarabalka, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.