activity
20172021
most citedHuman Pose Regression by Combining Indirect Part Detection and Contextual Information

241 citations · 405 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV20211 cited

Learning multiplane images from single views with self-supervision

Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia Neto +2

Generating static novel views from an already captured image is a hard task in computer vision and graphics, in particular when the single input image has dynamic parts such as per…

cs.CV2020

Adaptive Multiplane Image Generation from a Single Internet Picture

Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Andreza A. dos Santos +7

In the last few years, several works have tackled the problem of novel view synthesis from stereo images or even from a single picture. However, previous methods are computationall…

cs.CV20207 cited

Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation

Allan Pinto, Manuel A. Córdova, Luis G. L. Decker +8

Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as vi…

cs.CV20202 cited

SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression

Diogo Luvizon, Hedi Tabia, David Picard

In this paper we propose a highly scalable convolutional neural network, end-to-end trainable, for real-time 3D human pose regression from still RGB images. We call this approach t…

cs.CV2019154 cited

Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition

Diogo C Luvizon, Hedi Tabia, David Picard

Human pose estimation and action recognition are related tasks since both problems are strongly dependent on the human body representation and analysis. Nonetheless, most recent me…

cs.CV2018

2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning

Diogo C. Luvizon, David Picard, Hedi Tabia

Action recognition and human pose estimation are closely related but both problems are generally handled as distinct tasks in the literature. In this work, we propose a multitask f…