András Lörincz

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All published works

Action	Title	Year	Authors
+ PDF Chat	Assistive AI for Augmenting Human Decision-making	2024	Natabara Máté Gyöngyössy Bernát Török Csilla Farkas Laura Lucaj Attila Menyhárd Krisztina Menyhárd-Balázs András Simonyi Patrick van der Smagt Zsolt Ződi András Lőrincz
+ PDF Chat	Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations	2024	Maria Tsfasman Bernd Dudzik Kristian Fenech András Lőrincz Catholijn M. Jonker Catharine Oertel
+	Equivariant 𝒟-modules on 2𝓍2𝓍𝓃 hypermatrices	2024	András Lőrincz Michael D. Perlman
+ PDF Chat	A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images	2024	László Kopácsi Áron Fóthi András Lőrincz
+ PDF Chat	Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings	2024	Ádám Fodor Rachid R. Saboundji András Lőrincz
+	Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness	2022	Dávid Szeghy Mahmoud Aslan Áron Fóthi Balázs Mészáros Zoltán Á. Milacski András Lőrincz
+	Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness	2022	Dávid Szeghy Mahmoud Aslan Áron Fóthi Balázs Mészáros Zoltán Á. Milacski András Lőrincz
+	Perceived personality state estimation in dyadic and small group interaction with deep learning methods	2022	Kristian Fenech Ádám Fodor Sean P. Bergeron Rachid R. Saboundji Catharine Oertel András Lőrincz
+ PDF Chat	Fast Interactive Video Object Segmentation with Graph Neural Networks	2021	Viktor Varga András Lőrincz
+	Fast Interactive Video Object Segmentation with Graph Neural Networks	2021	Viktor Varga András Lőrincz
+	Minimal free resolutions of ideals of minors associated to pairs of matrices	2021	András Lörincz
+	Minimizing false negative rate in melanoma detection and providing insight into the causes of classification	2021	Ellák Somfai Benjámin Baffy Kristian Fenech Changlu Guo Rita Hosszú Dorina Korózs Fabrizio Nunnari Marcell Pólik Daniel Sonntag Attila Ulbert
+	Fast Interactive Video Object Segmentation with Graph Neural Networks	2021	Viktor Varga András Lőrincz
+	Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People	2020	Márton Véges András Lőrincz
+	Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision	2020	Márton Véges András Lőrincz
+ PDF Chat	Multi-person Absolute 3D Human Pose Estimation with Weak Depth Supervision	2020	Márton Véges András Lőrincz
+ PDF Chat	Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People	2020	Márton Véges András Lőrincz
+	Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People	2020	Márton Véges András Lőrincz
+	Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision	2020	Márton Véges András Lőrincz
+ PDF Chat	Absolute Human Pose Estimation with Depth Prediction Network	2019	Márton Véges András Lőrincz
+	Absolute Human Pose Estimation with Depth Prediction Network	2019	Márton Véges András Lőrincz
+ PDF Chat	3D human pose estimation with siamese equivariant embedding	2019	Márton Véges Viktor Varga András Lőrincz
+	Absolute Human Pose Estimation with Depth Prediction Network	2019	Márton Véges András Lőrincz
+	3D Human Pose Estimation with Siamese Equivariant Embedding	2018	Márton Véges Viktor Varga András Lőrincz
+	Free resolutions of orbit closures of Dynkin quivers	2018	András Lőrincz Jerzy Weyman
+	3D Human Pose Estimation with Siamese Equivariant Embedding	2018	Márton Véges Viktor Varga András Lőrincz
+	Fine-tuning deep CNN models on specific MS COCO categories	2017	Daniel Sonntag Michael Barz Jan Zacharias Sven Stauden Vahid Rahmani Áron Fóthi András Lőrincz
+	Cognitive Deep Machine Can Train Itself	2016	András Lőrincz Máté Csákvári Áron Fóthi Zoltán Á. Milacski András Sárkány Zoltán Tősér
+	Revolution in Health and Wellbeing	2015	András Lőrincz
+ PDF Chat	Emotional Expression Classification Using Time-Series Kernels	2013	András Lőrincz László A. Jeni Zoltán Szabó Jeffrey F. Cohn Takeo Kanade
+ PDF Chat	The FuturICT education accelerator	2012	Jeff Johnson Simon Buckingham Shum A. Willis Steven R. Bishop Theodore Zamenopoulos Stephen Swithenby Robert S. MacKay Yasmin Merali András Lőrincz Corina Georgiana Costea
+ PDF Chat	Distributed high dimensional information theoretical image registration via random projections	2012	Zoltán Szabó András Lőrincz
+	Automated Word Puzzle Generation via Topic Dictionaries	2012	Balázs Pintér Gyula Vörös Zoltán Szabó András Lőrincz
+ PDF Chat	Collaborative Filtering via Group-Structured Dictionary Learning	2012	Zoltán Szabó Barnabás Póczos András Lőrincz
+	Automated Word Puzzle Generation via Topic Dictionaries	2012	Balázs Pintér Gyula Vörös Zoltán Szabó András Lőrincz
+ PDF Chat	Sparse and silent coding in neural circuits	2011	András Lőrincz Zsolt Palotai Gábor Szirtes
+	Online Dictionary Learning with Group Structure Inducing Norms	2011	Zoltán Szabó Barnabás Póczos András Lőrincz
+ PDF Chat	Trapped electron coupled to superconducting devices	2011	Pavel Bushev Daniel Bothner J. Nagel M. Kemmler K. B. Konovalenko András Lőrincz K. Ilin M. Siegel D. Koelle R. Kleiner
+	Decision Making Agent Searching for Markov Models in Near-Deterministic World	2011	Gabor Matuz András Lőrincz
+	Decision Making Agent Searching for Markov Models in Near-Deterministic World	2011	Gabor Matuz András Lőrincz
+	Sparse and silent coding in neural circuits	2010	András Lőrincz Zsolt Palotai Gábor Szirtes
+	Sparse and silent coding in neural circuits	2010	András Lőrincz Zsolt Palotai Gábor Szirtes
+	Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version	2009	István Szita András Lőrincz
+	Factored value iteration converges	2008	István Szita András Lőrincz
+	Model of the hippocampal formation explains the coexistence of grid cells and place cells	2008	András Lőrincz Melinda Kiszlinger Gábor Szirtes
+	The many faces of optimism - Extended version	2008	István Szita András Lőrincz
+	D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks	2008	Barnabás Póczos András Lőrincz
+	Online variants of the cross-entropy method	2008	István Szita András Lőrincz
+	Factored Value Iteration Converges	2008	István Szita András Lőrincz
+	Undercomplete Blind Subspace Deconvolution via Linear Prediction	2007	Zoltán Szabó Barnabás Póczos András Lőrincz
+	Independent Process Analysis without A Priori Dimensional Information	2007	Barnabás Póczos Zoltán Szabó Melinda Kiszlinger András Lőrincz
+	Undercomplete Blind Subspace Deconvolution	2007	Zoltán Szabó Barnabás Póczos András Lőrincz
+	Independent Process Analysis without A Priori Dimensional Information	2007	Barnabás Póczos Zoltán Szabó Melinda Kiszlinger András Lőrincz
+	Undercomplete Blind Subspace Deconvolution via Linear Prediction	2007	Zoltán Szabó Barnabás Póczos András Lőrincz
+	Real and Complex Independent Subspace Analysis by Generalized Variance	2006	Zoltán Szabó András Lőrincz
+	Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs	2006	István Szita András Lőrincz
+	Separation Theorem for Independent Subspace Analysis with Sufficient Conditions	2006	Zoltán Szabó Barnabás Póczos András Lőrincz
+	Separation Theorem for K-Independent Subspace Analysis with Sufficient Conditions	2006	Zoltán Szabó Barnabás Póczos András Lőrincz
+	Real and Complex Independent Subspace Analysis by Generalized Variance	2006	Zoltán Szabó András Lőrincz
+ PDF Chat	Selection in Scale-Free Small World	2005	Zsolt Palotai Csilla Farkas András Lőrincz
+	Selection in Scale-Free Small World	2005	Zs. Palotai Cs. Farkas András Lőrincz
+	Applying Policy Iteration for Training Recurrent Neural Networks	2004	István Szita András Lőrincz
+	L1 regularization is better than L2 for learning and predicting chaotic systems	2004	Zoltán Szabó András Lőrincz
+	Intelligent encoding and economical communication in the visual stream	2004	András Lőrincz
+	Reinforcement Learning with Linear Function Approximation and LQ control Converges	2003	István Szita András Lőrincz
+	Temporal plannability by variance of the episode length	2003	Bálint Takács István Szita András Lőrincz
+	Kalman-filtering using local interactions	2003	Barnabás Póczos András Lőrincz
+	Centralized reward system gives rise to fast and efficient work sharing for intelligent Internet agents lacking direct communication	2003	Zsolt Palotai Sándor Mandusitz András Lőrincz
+	Comparation based bottom-up and top-down filtering model of the hippocampus and its environment	2003	András Lőrincz
+	Kalman filter control in the reinforcement learning framework	2003	István Szita András Lőrincz
+	Emergence of scale-free properties in Hebbian networks	2003	Gábor Szirtes Zsolt Palotai András Lőrincz
+	Controlled hierarchical filtering: Model of neocortical sensory processing	2003	András Lőrincz
+	Towards a theory of consciousness: Proposal for the resolution of the homunculus fallacy with predictions	2003	András Lőrincz Gábor Szirtes
+	Self-organized learning of 3 dimensions	2002	Csaba Szepesvári András Lőrincz
+	Searching for Plannable Domains can Speed up Reinforcement Learning	2002	István Szita Bálint Takács András Lőrincz
+	Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms.	2002	Botond Szatmáry Barnabás Póczos Julian Eggert Edgar Körner András Lörincz
+	HebbNets: Dynamic network with Hebbian learning rule	2002	Gábor Szirtes Zs. Palotai András Lőrincz

Common Coauthors

Coauthor	Papers Together
Márton Véges	12
Barnabás Póczos	12
István Szita	11
Zoltán Szabó	9
Zoltán Szabó	7
Gábor Szirtes	7
Viktor Varga	6
Zsolt Palotai	6
Áron Fóthi	5
Kristian Fenech	3
Melinda Kiszlinger	3
Zoltán Á. Milacski	3
Csilla Farkas	2
Mahmoud Aslan	2
Dávid Szeghy	2
Rachid R. Saboundji	2
Gyula Vörös	2
Daniel Sonntag	2
Balázs Mészáros	2
Ádám Fodor	2
Catharine Oertel	2
Bálint Takács	2
Zs. Palotai	2
Michael Barz	1
K. B. Konovalenko	1
Bernd Dudzik	1
F. Schmidt–Kaler	1
Julian Eggert	1
Sally Caird	1
László A. Jeni	1
Ruth Deakin Crick	1
Fabrizio Nunnari	1
Zoltán Tősér	1
Gabor Matuz	1
Atis Kapenieks	1
Yasmin Merali	1
Daniel Bothner	1
Corina Georgiana Costea	1
Jerzy Weyman	1
Jorge Louçã	1
Simon Buckingham Shum	1
Takeo Kanade	1
Gabor Matuz	1
D. Koelle	1
Attila Ulbert	1
Paul Kelley	1
Dirk Helbing	1
Rita Hosszú	1
Laura Lucaj	1
András Sárkány	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Ordinal Depth Supervision for 3D Human Pose Estimation	2018	Georgios Pavlakos Xiaowei Zhou Kostas Daniilidis	8
+ PDF Chat	Integral Human Pose Regression	2018	Xiao Sun Bin Xiao Fangyin Wei Shuang Liang Yichen Wei	8
+ PDF Chat	Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation	2018	Hao-Shu Fang Yuanlu Xu Wenguan Wang Xiaobai Liu Song‐Chun Zhu	7
+ PDF Chat	A Simple Yet Effective Baseline for 3d Human Pose Estimation	2017	Julieta Martínez Rayat Hossain Javier Romero James J. Little	6
+	2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning	2018	Diogo Luvizon David Picard Hedi Tabia	6
+ PDF Chat	Exploiting Temporal Information for 3D Human Pose Estimation	2018	Mir Rayat Imtiaz Hossain James J. Little	6
+ PDF Chat	Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision	2017	Dushyant Mehta Helge Rhodin Dan Casas Pascal Fua Oleksandr Sotnychenko Weipeng Xu Christian Theobalt	6
+ PDF Chat	Single-Shot Multi-person 3D Pose Estimation from Monocular RGB	2018	Dushyant Mehta Oleksandr Sotnychenko Franziska Mueller Weipeng Xu Srinath Sridhar Gerard Pons‐Moll Christian Theobalt	6
+ PDF Chat	Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose	2017	Georgios Pavlakos Xiaowei Zhou Konstantinos G. Derpanis Kostas Daniilidis	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	5
+ PDF Chat	Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach	2017	Xingyi Zhou Qixing Huang Xiao Sun Xiangyang Xue Yichen Wei	5
+ PDF Chat	Deep High-Resolution Representation Learning for Human Pose Estimation	2019	Ke Sun Bin Xiao Dong Liu Jingdong Wang	4
+ PDF Chat	Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry	2019	Muhammed Kocabas Salih Karagoz Emre Akbaş	4
+ PDF Chat	Efficient Solution Algorithms for Factored MDPs	2003	Carlos Guestrin Daphne Koller R. Parr Satchi Venkataraman	4
+ PDF Chat	Absolute Human Pose Estimation with Depth Prediction Network	2019	Márton Véges András Lőrincz	4
+	None	1999	Reuven Y. Rubinstein	4
+ PDF Chat	LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images	2019	Grégory Rogez Philippe Weinzaepfel Cordelia Schmid	4
+ PDF Chat	RMPE: Regional Multi-person Pose Estimation	2017	Hao-Shu Fang Shuqin Xie Yu‐Wing Tai Cewu Lu	4
+	Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation	2018	István Sárándi Timm Linder Kai Oliver Arras Bastian Leibe	4
+ PDF Chat	Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields	2017	Zhe Cao Tomas Simon Shih-En Wei Yaser Sheikh	3
+	Cohomology of Vector Bundles and Syzygies	2003	Jerzy Weyman	3
+ PDF Chat	MegaDepth: Learning Single-View Depth Prediction from Internet Photos	2018	Zhengqi Li Noah Snavely	3
+ PDF Chat	Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation	2018	Helge Rhodin Mathieu Salzmann Pascal Fua	3
+ PDF Chat	3D human pose estimation with siamese equivariant embedding	2019	Márton Véges Viktor Varga András Lőrincz	3
+	FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information	2018	Yulong Shi Xiaoguang Han Nianjuan Jiang Kun Zhou Kui Jia Jiangbo Lu	3
+	Online variants of the cross-entropy method	2008	István Szita András Lőrincz	3
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	2
+	Elements of the Representation Theory of Associative Algebras	2007	Daniel Simson Andrzej Skowroński	2
+ PDF Chat	3D shape estimation from 2D landmarks: A convex relaxation approach	2015	Xiaowei Zhou Spyridon Leonardos Xiaoyan Hu Kostas Daniilidis	2
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow	2
+ PDF Chat	Harmonic Networks: Deep Translation and Rotation Equivariance	2017	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow	2
+	Cohomology of Vector Bundles and Syzygies	2003	Jerzy Weyman	2
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	2
+ PDF Chat	Stacked Hourglass Networks for Human Pose Estimation	2016	Alejandro Newell Kaiyu Yang Jia Deng	2
+ PDF Chat	Evolutionary Algorithms for Reinforcement Learning	1999	David E. Moriarty Anna Charlotte Schultz John J. Grefenstette	2
+	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples	2008	Deanna Needell Joel A. Tropp	2
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	2
+	Singularities of orbit closures in module varieties	2011	Grzegorz Zwara	2
+ PDF Chat	Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image	2017	Denis Tomè Chris Russell Lourdes Agapito	2
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	2
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	2
+	Sequence alignment by rare event simulation	2003	Jonathan M. Keith Dirk P. Kroese	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+ PDF Chat	Quivers, Desingularizations and Canonical Bases	2003	Markus Reineke	2
+	Structured Sparse Principal Component Analysis	2009	Rodolphe Jenatton Guillaume Obozinski Francis Bach	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	The composite absolute penalties family for grouped and hierarchical variable selection	2009	Peng Zhao Guilherme V. Rocha Bin Yu	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2