András Lőrincz | DeepAI

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Featured Co-authors

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∙ 11/09/2022

Perceived personality state estimation in dyadic and small group interaction with deep learning methods

Dyadic and small group collaboration is an evolutionary advantageous beh...

0 Kristian Fenech, et al. ∙

∙ 03/05/2021

Fast Interactive Video Object Segmentation with Graph Neural Networks

Pixelwise annotation of image sequences can be very tedious for humans. ...

16 Viktor Varga, et al. ∙

∙ 02/18/2021

Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

Our goal is to bridge human and machine intelligence in melanoma detecti...

16 Ellák Somfai, et al. ∙

∙ 10/31/2020

Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People

In multi-person pose estimation actors can be heavily occluded, even bec...

0 Márton Véges, et al. ∙

∙ 04/08/2020

Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision

In 3D human pose estimation one of the biggest problems is the lack of l...

9 Márton Véges, et al. ∙

∙ 04/11/2019

Absolute Human Pose Estimation with Depth Prediction Network

The common approach to 3D human pose estimation is predicting the body j...

20 Márton Véges, et al. ∙

∙ 09/19/2018

3D Human Pose Estimation with Siamese Equivariant Embedding

In monocular 3D human pose estimation a common setup is to first detect ...

0 Márton Véges, et al. ∙

∙ 09/05/2017

Fine-tuning deep CNN models on specific MS COCO categories

Fine-tuning of a deep convolutional neural network (CNN) is often desire...

0 Daniel Sonntag, et al. ∙

∙ 12/02/2016

Cognitive Deep Machine Can Train Itself

Machine learning is making substantial progress in diverse applications....

0 András Lőrincz, et al. ∙

∙ 06/08/2013

Emotional Expression Classification using Time-Series Kernels

Estimation of facial expressions, as spatio-temporal processes, can take...

0 András Lőrincz, et al. ∙

∙ 10/02/2012

Distributed High Dimensional Information Theoretical Image Registration via Random Projections

Information theoretical measures, such as entropy, mutual information, a...

0 Zoltan Szabo, et al. ∙

∙ 01/01/2012

Collaborative Filtering via Group-Structured Dictionary Learning

Structured sparse coding and the related structured dictionary learning ...

0 Zoltan Szabo, et al. ∙

∙ 02/27/2011

Decision Making Agent Searching for Markov Models in Near-Deterministic World

Reinforcement learning has solid foundations, but becomes inefficient in...

0 Gabor Matuz, et al. ∙

∙ 10/20/2010

Sparse and silent coding in neural circuits

Sparse coding algorithms are about finding a linear basis in which signa...

0 András Lőrincz, et al. ∙

∙ 04/21/2009

Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version

In this paper we propose an algorithm for polynomial-time reinforcement ...

0 Istvan Szita, et al. ∙

∙ 01/07/2007

Undercomplete Blind Subspace Deconvolution

We introduce the blind subspace deconvolution (BSSD) problem, which is t...

0 Zoltan Szabo, et al. ∙

∙ 08/16/2003

Controlled hierarchical filtering: Model of neocortical sensory processing

A model of sensory information processing is presented. The model assume...

0 András Lőrincz, et al. ∙

∙ 12/10/2002

Searching for Plannable Domains can Speed up Reinforcement Learning

Reinforcement learning (RL) involves sequential decision making in uncer...

0 Istvan Szita, et al. ∙