research
∙
07/09/2022
Video Coding Using Learned Latent GAN Compression
We propose in this paper a new paradigm for facial video compression. We...
share
research
∙
10/05/2021
FacialFilmroll: High-resolution multi-shot video editing
We present FacialFilmroll, a solution for spatially and temporally consi...
research
∙
07/09/2021
Semantic and Geometric Unfolding of StyleGAN Latent Space
Generative adversarial networks (GANs) have proven to be surprisingly ef...
research
∙
04/08/2019
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise
Noisy labels often occur in vision datasets, especially when they are is...
research
∙
10/02/2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
Deep neural networks have established as a powerful tool for large scale...
research
∙
04/19/2018
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification
Dimensionality reduction is an important step in processing the hyperspe...
research
∙
04/14/2018
Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers
Kernel based methods have shown effective performance in many remote sen...
research
∙
03/27/2018
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation
In computer vision, one is often confronted with problems of domain shif...
research
∙
11/27/2017
Data Dependent Kernel Approximation using Pseudo Random Fourier Features
Kernel methods are powerful and flexible approach to solve many problems...
research
∙
11/07/2017