research
∙
02/03/2023
A statistically constrained internal method for single image super-resolution
Deep learning based methods for single-image super-resolution (SR) have ...
share
research
∙
02/03/2023
A geometrically aware auto-encoder for multi-texture synthesis
We propose an auto-encoder architecture for multi-texture synthesis. The...
research
∙
02/07/2022
Patch-Based Stochastic Attention for Image Editing
Attention mechanisms have become of crucial importance in deep learning ...
research
∙
02/04/2022
Feature-Style Encoder for Style-Based GAN Inversion
We propose a novel architecture for GAN inversion, which we call Feature...
research
∙
12/31/2021
Weakly Supervised Change Detection Using Guided Anisotropic Difusion
Large scale datasets created from crowdsourced labels or openly availabl...
research
∙
06/22/2021
A Latent Transformer for Disentangled and Identity-Preserving Face Editing
High quality facial image editing is a challenging problem in the movie ...
research
∙
11/05/2020
An analysis of the transfer learning of convolutional neural networks for artistic images
Transfer learning from huge natural image datasets, fine-tuning of deep ...
research
∙
08/04/2020
High resolution neural texture synthesis with long range constraints
The field of texture synthesis has witnessed important progresses over t...
research
∙
08/03/2020
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
Weakly supervised object detection (WSOD) using only image-level annotat...
research
∙
05/09/2020
High Resolution Face Age Editing
Face age editing has become a crucial task in film post-production, and ...
research
∙
04/17/2019
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
Large scale datasets created from user labels or openly available data h...
research
∙
04/15/2019
Processsing Simple Geometric Attributes with Autoencoders
Image synthesis is a core problem in modern deep learning, and many rece...
research
∙
10/19/2018
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
The Copernicus Sentinel-2 program now provides multispectral images at a...
research
∙
10/19/2018
High Resolution Semantic Change Detection
Change detection is one of the main problems in remote sensing, and is e...
research
∙
10/05/2018
Weakly Supervised Object Detection in Artworks
We propose a method for the weakly supervised detection of objects in pa...
research
∙
06/10/2017
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging
Recently, impressive denoising results have been achieved by Bayesian ap...
research
∙
03/18/2015
