49 citations · 127 across the 28 of their papers we have counts for
29 papers
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
Marton Veges, Andras Lorincz
In multi-person pose estimation actors can be heavily occluded, even become fully invisible behind another person. While temporal methods can still predict a reasonable estimation…
Algebraic Analysis of Rotation Data
Michael F. Adamer, András C. Lőrincz, Anna-Laura Sattelberger +1
We develop algebraic tools for statistical inference from samples of rotation matrices. This rests on the theory of D-modules in algebraic analysis. Noncommutative Gröbner bases ar…
Absolute Human Pose Estimation with Depth Prediction Network
Márton Véges, András Lőrincz
The common approach to 3D human pose estimation is predicting the body joint coordinates relative to the hip. This works well for a single person but is insufficient in the case of…
3D Human Pose Estimation with Siamese Equivariant Embedding
Márton Véges, Viktor Varga, András Lőrincz
In monocular 3D human pose estimation a common setup is to first detect 2D positions and then lift the detection into 3D coordinates. Many algorithms suffer from overfitting to cam…
Fine-tuning deep CNN models on specific MS COCO categories
Daniel Sonntag, Michael Barz, Jan Zacharias +4
Fine-tuning of a deep convolutional neural network (CNN) is often desired. This paper provides an overview of our publicly available py-faster-rcnn-ft software library that can be…
Cognitive Deep Machine Can Train Itself
András Lőrincz, Máté Csákvári, Áron Fóthi +3
Machine learning is making substantial progress in diverse applications. The success is mostly due to advances in deep learning. However, deep learning can make mistakes and its ge…