20 citations · 133 across the 20 of their papers we have counts for
7 papers · 1 filter
EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis
Gaétan Landreau, Mohamed Tamaazousti
Novel-view synthesis (NVS) can be tackled through different approaches, depending on the general setting: a single source image to a short video sequence, exact or noisy camera pos…
Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask
Gaëtan Landreau, Mohamed Tamaazousti
Image-based 3D reconstruction has increasingly stunning results over the past few years with the latest improvements in computer vision and graphics. Geometry and topology are two…
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
Adrian Bojko, Romain Dupont, Mohamed Tamaazousti +1
Visual SLAM - Simultaneous Localization and Mapping - in dynamic environments typically relies on identifying and masking image features on moving objects to prevent them from nega…
Learning to Segment Dynamic Objects using SLAM Outliers
Adrian Bojko, Romain Dupont, Mohamed Tamaazousti +1
We present a method to automatically learn to segment dynamic objects using SLAM outliers. It requires only one monocular sequence per dynamic object for training and consists in l…
Deep Multi-class Adversarial Specularity Removal
John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti +2
We propose a novel learning approach, in the form of a fully-convolutional neural network (CNN), which automatically and consistently removes specular highlights from a single imag…
Generative Collaborative Networks for Single Image Super-Resolution
Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
A common issue of deep neural networks-based methods for the problem of Single Image Super-Resolution (SISR), is the recovery of finer texture details when super-resolving at large…