18 citations · 28 across the 7 of their papers we have counts for
13 papers
PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment
Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise +1
Following the advent of immersive technologies and the increasing interest in representing interactive geometrical format, 3D Point Clouds (PC) have emerged as a promising solution…
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding
Jian Yue, Yanbo Gao, Shuai Li +2
In-loop filtering is used in video coding to process the reconstructed frame in order to remove blocking artifacts. With the development of convolutional neural networks (CNNs), CN…
A deep perceptual metric for 3D point clouds
Maurice Quach, Aladine Chetouani, Giuseppe Valenzise +1
Point clouds are essential for storage and transmission of 3D content. As they can entail significant volumes of data, point cloud compression is crucial for practical usage. Recen…
Improved Deep Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
Point clouds have been recognized as a crucial data structure for 3D content and are essential in a number of applications such as virtual and mixed reality, autonomous driving, cu…
Folding-based compression of point cloud attributes
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
Existing techniques to compress point cloud attributes leverage either geometric or video-based compression tools. We explore a radically different approach inspired by recent adva…
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal +2
With surge of available but unlabeled data, Positive Unlabeled (PU) learning is becoming a thriving challenge. This work deals with this demanding task for which recent GAN-based P…