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)

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)

Unsupervised classifier selection approach for hyperspectral image classification. - Bharath Bhushan Damodaran; Nicolas Courty; Sébastien Lefèvre (IGARSS, 2016)

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. - Bharath Bhushan Damodaran; Nicolas Courty; Romain Tavenard (IGARSS, 2017)

Classification of VHR remote sensing images using local feature-based attribute profiles. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula; Bharath Bhushan Damodaran (IGARSS, 2017)

Attribute Profiles from Partitioning Trees. - Petra Bosilj; Bharath Bhushan Damodaran; Erchan Aptoula; Mauro Dalla Mura; Sébastien Lefèvre (ISMM, 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 (SIU, 2017)

Data Dependent Kernel Approximation using Pseudo Random Fourier Features. - Bharath Bhushan Damodaran; Nicolas Courty; Philippe-Henri Gosselin (CoRR, 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)

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. - Bharath Bhushan Damodaran; Benjamin Kellenberger; Rémi Flamary; Devis Tuia; Nicolas Courty (ECCV (4), 2018)

Large Scale Optimal Transport and Mapping Estimation. - Vivien Seguy; Bharath Bhushan Damodaran; Rémi Flamary; Nicolas Courty; Antoine Rolet; Mathieu Blondel (ICLR (Poster), 2018)

Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers. - Bharath Bhushan Damodaran (CoRR, 2018)

Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification. - Chippy Jayaprakash; Bharath Bhushan Damodaran; V. Sowmya 001; K. P. Soman (CoRR, 2018)

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)

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)

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)

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 (CVMP, 2021)

Semantic and Geometric Unfolding of StyleGAN Latent Space. - Mustafa Shukor; Xu Yao; Bharath Bhushan Damodaran; Pierre Hellier (CoRR, 2021)

Semantic Unfolding of Stylegan Latent Space. - Mustafa Shukor; Xu Yao; Bharath Bhushan Damodaran; Pierre Hellier (ICIP, 2022)

Video Coding using Learned Latent GAN Compression. - Mustafa Shukor; Bharath Bhushan Damodaran; Xu Yao; Pierre Hellier (ACM Multimedia, 2022)

Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression. - Muhammet Balcilar; Bharath Bhushan Damodaran; Pierre Hellier (PCS, 2022)

Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression. - Muhammet Balcilar; Bharath Bhushan Damodaran; Pierre Hellier (VCIP, 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)

RQAT-INR: Improved Implicit Neural Image Compression. - Bharath Bhushan Damodaran; Muhammet Balcilar; Franck Galpin; Pierre Hellier (DCC, 2023)

Latent-Shift: Gradient of Entropy Helps Neural Codecs. - Muhammet Balcilar; Bharath Bhushan Damodaran; Karam Naser; Franck Galpin; Pierre Hellier (ICIP, 2023)

Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation. - Bharath Bhushan Damodaran; François Schnitzler; Anne Lambert; Pierre Hellier (CoRR, 2023)

Exploiting Latent Properties to Optimize Neural Codecs. - Muhammet Balcilar; Bharath Bhushan Damodaran; Karam Naser; Franck Galpin; Pierre Hellier (IEEE Trans. Image Process., 2025)

D-Garment: Physics-Conditioned Latent Diffusion for Dynamic Garment Deformations. - Antoine Dumoulin; Adnane Boukhayma; Laurence Boissieux; Bharath Bhushan Damodaran; Pierre Hellier; Stefanie Wuhrer (CoRR, 2025)