Amina Ben Hamida

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All published works

Action	Title	Year	Authors
+ PDF Chat	3-D Deep Learning Approach for Remote Sensing Image Classification	2018	Amina Ben Hamida Alexandre Benoît Patrick Lambert Chokri Ben Amar
+ PDF Chat	Deep learning for semantic segmentation of remote sensing images with rich spectral content	2017	Amina Ben Hamida Alexandre Benoît Patrick Lambert Laura Klein Chokri Ben Amar Nicolas Audebert Sébastien Lefèvre
+	Deep learning for semantic segmentation of remote sensing images with rich spectral content	2017	Amina Ben Hamida Alexandre Benoît Patrick Lambert Levente J. Klein Chokri Ben Amar Nicolas Audebert Sébastien Lefèvre
+	Temporal Characterization of the Remote Sensors Response to Radiation Damage in L2	2017	Amina Ben Hamida Alexandre Benoît Patrick Lambert Chokri Ben-Amar

Common Coauthors

Coauthor	Papers Together
Patrick Lambert	4
Alexandre Benoît	4
Chokri Ben Amar	3
Nicolas Audebert	2
Sébastien Lefèvre	2
Chokri Ben-Amar	1
Laura Klein	1
Levente J. Klein	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks	2016	Michele Volpi Devis Tuia	2
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Temporal Characterization of the Remote Sensors Response to Radiation Damage in L2	2017	Amina Ben Hamida Alexandre Benoît Patrick Lambert Chokri Ben-Amar	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+ PDF Chat	Deep, Big, Simple Neural Nets for Handwritten Digit Recognition	2010	Dan Claudiu Cireşan Ueli Meier Luca Maria Gambardella Jürgen Schmidhuber	1
+ PDF Chat	Multi-column deep neural networks for image classification	2012	Dan Cireşan Ueli Meier Jürgen Schmidhuber	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+ PDF Chat	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification	2015	Adriana Romero Carlo Gatta Gustau Camps‐Valls	1
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	1
+	Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization	2016	Alexander G. Ororbia C. Lee Giles Daniel Kifer	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+	Densely Connected Convolutional Networks	2016	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks	2017	Nicolas Audebert Bertrand Le Saux Sébastien Lefèvre	1
+ PDF Chat	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation	2017	Simon Jégou Michal Drozdzal David Vázquez Adriana Romero Yoshua Bengio	1
+	Fusion of heterogeneous data in convolutional networks for urban semantic labeling	2017	Nicolas Audebert Bertrand Le Saux Sebastien Lefevrey	1
+ PDF Chat	None	1996	Leo Breiman	1
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	1
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation	2016	Simon Jégou Michal Drozdzal David Vázquez Adriana Romero Yoshua Bengio	1
+	Return of the Devil in the Details: Delving Deep into Convolutional Nets	2014	Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+ PDF Chat	Stacked regressions	1996	Leo Breiman	1
+	STFCN: Spatio-Temporal FCN for Semantic Video Segmentation	2016	Mohsen Fayyaz Mohammad Hajizadeh Saffar Mohammad Sabokrou Mahmood Fathy Reinhard Klette	1
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+ PDF Chat	Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods	2013	Gustau Camps‐Valls Devis Tuia Lorenzo Bruzzone Jón Atli Benediktsson	1
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	1