Alert button
Picture for S L Happy

S L Happy

Alert button

How Unique Is a Face: An Investigative Study

Feb 09, 2021
Michal Balazia, S L Happy, Francois Bremond, Antitza Dantcheva

Figure 1 for How Unique Is a Face: An Investigative Study
Figure 2 for How Unique Is a Face: An Investigative Study
Figure 3 for How Unique Is a Face: An Investigative Study
Figure 4 for How Unique Is a Face: An Investigative Study
Viaarxiv icon

SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data

Feb 21, 2020
Onur Tasar, S L Happy, Yuliya Tarabalka, Pierre Alliez

Figure 1 for SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
Figure 2 for SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
Figure 3 for SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
Viaarxiv icon

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

Jul 30, 2019
Onur Tasar, S L Happy, Yuliya Tarabalka, Pierre Alliez

Figure 1 for ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Figure 2 for ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Figure 3 for ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Figure 4 for ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Viaarxiv icon

Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification

Dec 07, 2018
Ramanarayan Mohanty, S L Happy, Aurobinda Routray

Figure 1 for Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification
Figure 2 for Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification
Figure 3 for Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification
Viaarxiv icon

A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image

Jul 22, 2018
Ramanarayan Mohanty, S L Happy, Nilesh Suthar, Aurobinda Routray

Figure 1 for A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image
Figure 2 for A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image
Figure 3 for A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image
Viaarxiv icon

A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images

Jul 07, 2018
Ramanarayan Mohanty, S L Happy, Aurobinda Routray

Figure 1 for A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images
Figure 2 for A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images
Figure 3 for A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images
Figure 4 for A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images
Viaarxiv icon

Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images

Sep 09, 2017
Ramanarayan Mohanty, S L Happy, Aurobinda Routray

Figure 1 for Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images
Figure 2 for Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images
Figure 3 for Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images
Viaarxiv icon

An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data

Aug 08, 2017
S L Happy, Ramanarayan Mohanty, Aurobinda Routray

Figure 1 for An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data
Figure 2 for An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data
Figure 3 for An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data
Figure 4 for An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data
Viaarxiv icon

An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation

Feb 17, 2017
Pranav Kumar, S L Happy, Swarnadip Chatterjee, Debdoot Sheet, Aurobinda Routray

Figure 1 for An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation
Figure 2 for An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation
Figure 3 for An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation
Figure 4 for An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation
Viaarxiv icon