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

241 citations · 406 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2021★ 1 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.SD2021

Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations

Antonio Joia Neto, Andre G C Pacheco, Diogo C Luvizon

In this paper, we propose a new Sound Event Classification (SEC) method which is inspired in recent works for out-of-distribution detection. In our method, we analyse all the activ…

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.CV2020★ 7 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.CV2020★ 2 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.CV2019★ 154 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.CV2019

Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates

Diogo C Luvizon, Hedi Tabia, David Picard

3D human pose estimation is frequently seen as the task of estimating 3D poses relative to the root body joint. Alternatively, we propose a 3D human pose estimation method in camer…

cs.CV2018★ 1 cited

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…

cs.CV2017★ 241 cited

Human Pose Regression by Combining Indirect Part Detection and Contextual Information

Diogo C. Luvizon, Hedi Tabia, David Picard

In this paper, we propose an end-to-end trainable regression approach for human pose estimation from still images. We use the proposed Soft-argmax function to convert feature maps…