Bharath Bhushan Damodaran

According to our database, Bharath Bhushan Damodaran authored at least 26 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation.

Bharath Bhushan Damodaran, François Schnitzler, Anne Lambert, Pierre Hellier

CoRR, 2023

Latent-Shift: Gradient of Entropy Helps Neural Codecs.

Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier

Proceedings of the IEEE International Conference on Image Processing, 2023

RQAT-INR: Improved Implicit Neural Image Compression.

Bharath Bhushan Damodaran, Muhammet Balcilar, Franck Galpin, Pierre Hellier

Proceedings of the Data Compression Conference, 2023

2022

Wasserstein Adversarial Regularization for Learning With Label Noise.

Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression.

Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression.

Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier

Proceedings of the Picture Coding Symposium, 2022

Video Coding using Learned Latent GAN Compression.

Mustafa Shukor, Bharath Bhushan Damodaran, Xu Yao, Pierre Hellier

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Semantic Unfolding of Stylegan Latent Space.

Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Semantic and Geometric Unfolding of StyleGAN Latent Space.

Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier

CoRR, 2021

FacialFilmroll: High-resolution multi-shot video editing.

Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe-Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier

Proceedings of the CVMP '21: European Conference on Visual Media Production, London, United Kingdom, December 6, 2021

2020

An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images.

Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty

Comput. Vis. Image Underst., 2020

2019

GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes.

François Merciol, Loïc Faucqueur, Bharath Bhushan Damodaran, Pierre-Yves Rémy, Baudouin Desclée, Fabrice Dazin, Sébastien Lefèvre, Antoine Masse, Christophe Sannier

ISPRS Int. J. Geo Inf., 2019

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.

Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

CoRR, 2019

2018

Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification.

Chippy Jayaprakash, Bharath Bhushan Damodaran, V. Sowmya, K. P. Soman

CoRR, 2018

Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers.

Bharath Bhushan Damodaran

CoRR, 2018

Large Scale Optimal Transport and Mapping Estimation.

Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel

Proceedings of the 6th International Conference on Learning Representations, 2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.

Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification.

Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre

IEEE Trans. Geosci. Remote. Sens., 2017

Data Dependent Kernel Approximation using Pseudo Random Fourier Features.

Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin

CoRR, 2017

A comparative noise robustness study of tree representations for attribute profile construction.

Safak Guner Koc, Erchan Aptoula, Petra Bosilj, Bharath Bhushan Damodaran, Mauro Dalla Mura, Sébastien Lefèvre

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Attribute Profiles from Partitioning Trees.

Petra Bosilj, Bharath Bhushan Damodaran, Erchan Aptoula, Mauro Dalla Mura, Sébastien Lefèvre

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

Classification of VHR remote sensing images using local feature-based attribute profiles.

Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Bharath Bhushan Damodaran

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images.

Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Unsupervised classifier selection approach for hyperspectral image classification.

Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information.

Bharath Bhushan Damodaran, Rama Rao Nidamanuri, Yuliya Tarabalka

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014

Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping.

Bharath Bhushan Damodaran, Rama Rao Nidamanuri

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014