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Bharath Bhushan Damodaran
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2020 – today
- 2023
- [c14]Bharath Bhushan Damodaran, Muhammet Balcilar, Franck Galpin, Pierre Hellier:
RQAT-INR: Improved Implicit Neural Image Compression. DCC 2023: 208-217 - [c13]Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier:
Latent-Shift: Gradient of Entropy Helps Neural Codecs. ICIP 2023: 920-924 - [i15]Bharath Bhushan Damodaran, Muhammet Balcilar, Franck Galpin, Pierre Hellier:
RQAT-INR: Improved Implicit Neural Image Compression. CoRR abs/2303.03028 (2023) - [i14]Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier:
Latent-Shift: Gradient of Entropy Helps Neural Codecs. CoRR abs/2308.00725 (2023) - [i13]Bharath Bhushan Damodaran, François Schnitzler, Anne Lambert, Pierre Hellier:
Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation. CoRR abs/2311.06059 (2023) - 2022
- [j6]Kilian Fatras
, Bharath Bhushan Damodaran
, Sylvain Lobry
, Rémi Flamary
, Devis Tuia
, Nicolas Courty
:
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7296-7306 (2022) - [c12]Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier:
Semantic Unfolding of Stylegan Latent Space. ICIP 2022: 221-225 - [c11]Mustafa Shukor, Bharath Bhushan Damodaran, Xu Yao, Pierre Hellier:
Video Coding using Learned Latent GAN Compression. ACM Multimedia 2022: 2239-2248 - [c10]Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier:
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression. PCS 2022: 115-119 - [c9]Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier:
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression. VCIP 2022: 1-5 - [i12]Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier:
Semantic Unfolding of StyleGAN Latent Space. CoRR abs/2206.14892 (2022) - [i11]Mustafa Shukor, Bharath Bhushan Damodaran, Xu Yao, Pierre Hellier:
Video Coding Using Learned Latent GAN Compression. CoRR abs/2207.04324 (2022) - [i10]Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier:
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression. CoRR abs/2209.00964 (2022) - [i9]Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier:
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression. CoRR abs/2210.06596 (2022) - 2021
- [c8]Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe-Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier:
FacialFilmroll: High-resolution multi-shot video editing. CVMP 2021: 5:1-5:10 - [i8]Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier:
Semantic and Geometric Unfolding of StyleGAN Latent Space. CoRR abs/2107.04481 (2021) - [i7]Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier:
FacialFilmroll: High-resolution multi-shot video editing. CoRR abs/2110.02124 (2021) - 2020
- [j5]Bharath Bhushan Damodaran, Rémi Flamary
, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. 191: 102863 (2020)
2010 – 2019
- 2019
- [j4]François Merciol, Loïc Faucqueur, Bharath Bhushan Damodaran, Pierre-Yves Rémy, Baudouin Desclée, Fabrice Dazin, Sébastien Lefèvre
, Antoine Masse
, Christophe Sannier:
GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes. ISPRS Int. J. Geo Inf. 8(1): 46 (2019) - [i6]Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR abs/1904.03936 (2019) - 2018
- [c7]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary
, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) 2018: 467-483 - [c6]Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel:
Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) 2018 - [i5]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR abs/1803.10081 (2018) - [i4]Bharath Bhushan Damodaran:
Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers. CoRR abs/1804.05214 (2018) - [i3]Chippy Jayaprakash, Bharath Bhushan Damodaran, V. Sowmya, K. P. Soman:
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification. CoRR abs/1804.07347 (2018) - [i2]Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR abs/1810.01163 (2018) - 2017
- [j3]Bharath Bhushan Damodaran
, Nicolas Courty, Sébastien Lefèvre
:
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(4): 2385-2398 (2017) - [c5]Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard:
Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS 2017: 5-8 - [c4]Minh-Tan Pham, Sébastien Lefèvre
, Erchan Aptoula
, Bharath Bhushan Damodaran:
Classification of VHR remote sensing images using local feature-based attribute profiles. IGARSS 2017: 747-750 - [c3]Petra Bosilj
, Bharath Bhushan Damodaran, Erchan Aptoula
, Mauro Dalla Mura
, Sébastien Lefèvre
:
Attribute Profiles from Partitioning Trees. ISMM 2017: 381-392 - [c2]Safak Guner Koc, Erchan Aptoula
, Petra Bosilj
, Bharath Bhushan Damodaran, Mauro Dalla Mura
, Sébastien Lefèvre
:
A comparative noise robustness study of tree representations for attribute profile construction. SIU 2017: 1-4 - [i1]Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin:
Data Dependent Kernel Approximation using Pseudo Random Fourier Features. CoRR abs/1711.09783 (2017) - 2016
- [c1]Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
:
Unsupervised classifier selection approach for hyperspectral image classification. IGARSS 2016: 5111-5114 - 2015
- [j2]Bharath Bhushan Damodaran, Rama Rao Nidamanuri, Yuliya Tarabalka:
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2405-2417 (2015) - 2014
- [j1]Bharath Bhushan Damodaran, Rama Rao Nidamanuri:
Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2080-2093 (2014)
Coauthor Index
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