activity
20182021
most citedA 3D Motion Vector Database for Dynamic Point Clouds

6 citations · 7 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20211 cited

Towards robustness under occlusion for face recognition

Tomas M. Borges, Teofilo E. de Campos, Ricardo de Queiroz

In this paper, we evaluate the effects of occlusions in the performance of a face recognition pipeline that uses a ResNet backbone. The classifier was trained on a subset of the Ce…

eess.IV2021

Model-Centric Volumetric Point Cloud Attributes

Ricardo L. de Queiroz, Camilo Dorea, Davi R. Freitas +2

Point clouds have recently gained interest, especially for real-time applications and for 3D-scanned material, such as is used in autonomous driving, architecture, and engineering,…

eess.SP2021

Random Paraunitary Projections

Ricardo L. de Queiroz

Transforms using random matrices have been found to have many applications. We are concerned with the projection of a signal onto Gaussian-distributed random orthogonal bases. We a…

eess.IV2021

Multi-resolution intra-predictive coding of 3D point cloud attributes

Eduardo Pavez, Andre L. Souto, Ricardo L. De Queiroz +1

We propose an intra frame predictive strategy for compression of 3D point cloud attributes. Our approach is integrated with the region adaptive graph Fourier transform (RAGFT), a m…

eess.IV20206 cited

A 3D Motion Vector Database for Dynamic Point Clouds

André L. Souto, Ricardo L. de Queiroz, Camilo Dorea

Due to the large amount of data that point clouds represent and the differences in geometry of successive frames, the generation of motion vectors for an entire point cloud dataset…

eess.SP2018

Example-based super-resolution for point-cloud video

Diogo C. Garcia, Tiago A. Fonseca, Ricardo L. de Queiroz

We propose a mixed-resolution point-cloud representation and an example-based super-resolution framework, from which several processing tools can be derived, such as compression, d…