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András Lorincz
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2020 – today
- 2024
[c78]János Adrián Gulyás, Miklós Máté Badó, Kristian Fenech, András Lorincz:
Keep Gesturing: A Game for Pragmatic Communication. HHAI 2024: 463-465- [i35]Ádám Fodor, Rachid Riad Saboundji, András Lorincz:
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings. CoRR abs/2405.03846 (2024) - [i34]László Kopácsi, Áron Fóthi, András Lorincz:
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images. CoRR abs/2405.04650 (2024) - 2023
- [j71]Ellák Somfai
, Benjámin Baffy, Kristian Fenech, Rita Hosszú, Dorina Korózs, Marcell Pólik, Miklós Sárdy, András Lorincz:
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images. Int. J. Imaging Syst. Technol. 33(2): 556-571 (2023) - [j70]Ádám Fodor, Kristian Fenech, András Lorincz:
BlinkLinMulT: Transformer-Based Eye Blink Detection. J. Imaging 9(10): 196 (2023) - [j69]László Kopácsi, Benjámin Baffy, Gábor Baranyi, Joul Skaf, Gábor Sörös, Szilvia Szeier, András Lorincz, Daniel Sonntag:
Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction. Sensors 23(11): 5126 (2023) - [c77]Bruno Carlos Dos Santos Melício, Linyun Xiang, Emily Dillon, Latha Soorya, Mohamed Chetouani, Andras Sarkany, Peter Kun, Kristian Fenech, András Lörincz:
Composite AI for Behavior Analysis in Social Interactions. ICMI Companion 2023: 389-397 - 2022
- [j68]Anna Gelencsér-Horváth, László Kopácsi, Viktor Varga, Dávid Keller, Árpád Dobolyi, Kristóf Karacs, András Lorincz:
Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline. J. Imaging 8(4): 109 (2022) - [j67]Gábor Baranyi, Bruno Carlos Dos Santos Melício, Zsófia Gaál, Levente Hajder, András Simonyi, Dániel Sindely, Joul Skaf, Ondrej Dusek, Tomás Nekvinda, András Lorincz:
AI Technologies for Machine Supervision and Help in a Rehabilitation Scenario. Multimodal Technol. Interact. 6(7): 48 (2022) - [c76]Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz:
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. DeLTA 2022: 77-85 - [c75]Maria Tsfasman, Kristian Fenech, Morita Tarvirdians, András Lörincz, Catholijn M. Jonker, Catharine Oertel:
Towards creating a conversational memory for long-term meeting support: predicting memorable moments in multi-party conversations through eye-gaze. ICMI 2022: 94-104 - [i33]Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz:
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. CoRR abs/2205.08955 (2022) - [i32]Kristian Fenech, Ádám Fodor, Sean P. Bergeron, Rachid Riad Saboundji, Catharine Oertel, András Lorincz:
Perceived personality state estimation in dyadic and small group interaction with deep learning methods. CoRR abs/2211.04979 (2022) - 2021
- [j66]Ádám Fodor, László Kopácsi, Zoltán Ádám Milacski, András Lorincz:
Speech De-identification with Deep Neural Networks. Acta Cybern. 25(2): 257-269 (2021) - [c74]Bruno Carlos Dos Santos Melício, Gábor Baranyi, Zsófia Gaál, Sohil Zidan, András Lorincz:
DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation. ICANN (3) 2021: 380-391 - [c73]László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz:
RATS: Robust Automated Tracking and Segmentation of Similar Instances. ICANN (3) 2021: 507-518 - [c72]Ádám Fodor, Rachid Riad Saboundji, Júlio C. S. Jacques Júnior, Sergio Escalera, David Gallardo-Pujol, András Lorincz:
Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures. DYAD@ICCV 2021: 218-241 - [c71]Dávid Rozenberszki, Gábor Sörös, Szilvia Szeier, András Lorincz:
3D Semantic Label Transfer in Human-Robot Collaboration. ICCVW 2021: 2602 - [c70]Viktor Varga, András Lorincz:
Fast Interactive Video Object Segmentation with Graph Neural Networks. IJCNN 2021: 1-10 - [i31]Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz:
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. CoRR abs/2102.09199 (2021) - [i30]Viktor Varga, András Lorincz:
Fast Interactive Video Object Segmentation with Graph Neural Networks. CoRR abs/2103.03821 (2021) - 2020
- [j65]Viktor Varga, András Lorincz:
Reducing human efforts in video segmentation annotation with reinforcement learning. Neurocomputing 405: 247-258 (2020) - [c69]Márton Véges, András Lorincz:
Multi-person Absolute 3D Human Pose Estimation with Weak Depth Supervision. ICANN (1) 2020: 258-270 - [c68]Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz:
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing. ICML 2020: 6893-6904 - [c67]Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz:
Multi Object Tracking for Similar Instances: A Hybrid Architecture. ICONIP (1) 2020: 436-447 - [c66]Márton Véges, András Lorincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. ICONIP (1) 2020: 557-568 - [i29]Márton Véges, András Lorincz:
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision. CoRR abs/2004.03989 (2020) - [i28]Márton Véges, András Lörincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. CoRR abs/2011.00250 (2020)
2010 – 2019
- 2019
- [j64]Márton Véges, Viktor Varga, András Lörincz:
3D human pose estimation with siamese equivariant embedding. Neurocomputing 339: 194-201 (2019) - [c65]András Lorincz:
Sparsified and Twisted Residual Autoencoders - Mapping Cartesian Factors to the Entorhinal-Hippocampal Complex. BICA 2019: 321-332 - [c64]Zoltán Ádám Milacski, Barnabás Póczos, András Lorincz:
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet. BMVC 2019: 140 - [c63]Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz:
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. IJCNN 2019: 1-7 - [c62]László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz:
Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. IJCNN 2019: 1-7 - [c61]Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz:
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification. IJCNN 2019: 1-10 - [c60]Márton Véges, András Lorincz:
Absolute Human Pose Estimation with Depth Prediction Network. IJCNN 2019: 1-7 - [i27]Márton Véges, András Lörincz:
Absolute Human Pose Estimation with Depth Prediction Network. CoRR abs/1904.05947 (2019) - 2018
- [j63]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, Andras Sarkany, Zoltan Toser:
Towards reasoning based representations: Deep Consistence Seeking Machine. Cogn. Syst. Res. 47: 92-108 (2018) - [i26]Márton Véges, Viktor Varga, András Lörincz:
3D Human Pose Estimation with Siamese Equivariant Embedding. CoRR abs/1809.07217 (2018) - 2017
- [c59]András Lörincz, Áron Fóthi, Bryar O. Rahman, Viktor Varga:
Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition. ICCV Workshops 2017: 2789-2797 - [i25]Daniel Sonntag, Michael Barz, Jan Zacharias, Sven Stauden, Vahid Rahmani, Áron Fóthi, András Lörincz:
Fine-tuning deep CNN models on specific MS COCO categories. CoRR abs/1709.01476 (2017) - 2016
- [c58]András Lörincz, András Sárkány, Zoltán Ádám Milacski, Zoltán Tosér:
Estimating Cartesian Compression via Deep Learning. AGI 2016: 294-304 - [c57]András Lorincz:
Cartesian Abstraction Can Yield 'Cognitive Maps'. BICA 2016: 259-271 - [c56]Zoltán Tosér, László A. Jeni, András Lörincz, Jeffrey F. Cohn:
Deep Learning for Facial Action Unit Detection Under Large Head Poses. ECCV Workshops (3) 2016: 359-371 - [c55]Richárd Bellon, Younggeon Choi, Nikoletta Ekker, Vincent Lepetit, L. Mike Olasz, Daniel Sonntag, Zoltán Tosér, Kyounghwan Yoo, András Lörincz:
Model Based Augmentation and Testing of an Annotated Hand Pose Dataset. KI 2016: 17-29 - [c54]Zoltán Tosér, Róbert Adrian Rill, Kinga Bettina Faragó, László A. Jeni, András Lörincz:
Personalization of Gaze Direction Estimation with Deep Learning. KI 2016: 200-207 - [i24]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér:
Cognitive Deep Machine Can Train Itself. CoRR abs/1612.00745 (2016) - 2015
- [j62]András Lörincz:
Revolution in Health and Wellbeing - Machine Learning, Crowdsourcing and Self-annotation. Künstliche Intell. 29(2): 219-222 (2015) - [c53]Zoltan Toser, András Lörincz:
The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification. AGI 2015: 373-383 - [c52]Kinga Bettina Faragó, Zoltán Ádám Milacski, András Németh, András Lörincz:
Enhancing Crowdsourced Applications via Incorporated Practice Sessions. GamifIR@ECIR 2015: 41-43 - [c51]Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt:
Robust Detection of Anomalies via Sparse Methods. ICONIP (3) 2015: 419-426 - [c50]András Sárkány, Zoltán Tosér, Anita L. Vero, András Lörincz, Takumi Toyama, Ehsan Nadjaran Toosi, Daniel Sonntag:
Maintain and Improve Mental Health by Smart Virtual Reality Serious Games. MindCare 2015: 220-229 - [c49]Andras Mihaly, Zoltán Ádám Milacski, Zoltan Toser, András Lörincz, Tamás Tettamanti, István Varga:
Cost and risk sensitive decision making and control for highway overtaking maneuver. MT-ITS 2015: 87-92 - 2014
- [c48]Gyula Vörös, Peter Rabi, Balázs Pintér, Andras Sarkany, Daniel Sonntag, András Lörincz:
Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis. AAAI Fall Symposia 2014 - [c47]Zsolt Palotai, Miklos Lang, Andras Sarkany, Zoltan Toser, Daniel Sonntag, Takumi Toyama, András Lörincz:
LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos. CBMI 2014: 1-4 - [c46]Daniel Sonntag, Sonja Zillner, Samarjit Chakraborty, András Lörincz, Esko Strömmer, Luciano Serafini:
The Medical Cyber-physical Systems Activity at EIT: A Look under the Hood. CBMS 2014: 351-356 - [c45]László A. Jeni, András Lörincz, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity. ECCV (4) 2014: 135-150 - [c44]Gyula Vörös, Anita Verö, Balázs Pintér, Brigitta Miksztai-Réthey, Takumi Toyama, András Lörincz, Daniel Sonntag:
Towards a Smart Wearable Tool to Enable People with SSPI to Communicate by Sentence Fragments. MindCare 2014: 90-99 - [c43]Jason Orlosky, Takumi Toyama, Daniel Sonntag, Andras Sarkany, András Lörincz:
On-body multi-input indoor localization for dynamic emergency scenarios: fusion of magnetic tracking and optical character recognition with mixed-reality display. PerCom Workshops 2014: 320-325 - 2013
- [c42]András Lörincz, László Attila Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Emotional Expression Classification Using Time-Series Kernels. CVPR Workshops 2013: 889-895 - [c41]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding. ICPRAM (Selected Papers) 2013: 241-255 - [c40]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Explaining Unintelligible Words by Means of their Context. ICPRAM 2013: 382-387 - [c39]Peter Stumpf, András Lörincz, István Nagy:
Analysis and compensation of oscillations in digitally controlled PFC converter. IECON 2013: 8356-8361 - [c38]Peter Stumpf, András Lorincz, István Nagy:
Stability of digitally controlled PFC boost converter with auxiliary state vector. ISIE 2013: 1-6 - [i23]András Lörincz, László A. Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Emotional Expression Classification using Time-Series Kernels. CoRR abs/1306.1913 (2013) - 2012
- [j61]Zoltán Szabó, András Lörincz:
Distributed high dimensional information theoretical image registration via random projections. Digit. Signal Process. 22(6): 894-902 (2012) - [j60]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Sparse and silent coding in neural circuits. Neurocomputing 79: 115-124 (2012) - [j59]László A. Jeni, András Lörincz, Tamás Nagy, Zsolt Palotai, Judit Sebok, Zoltán Szabó, Dániel Takács:
3D shape estimation in video sequences provides high precision evaluation of facial expressions. Image Vis. Comput. 30(10): 785-795 (2012) - [j58]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Efficient Sparse Coding in Early Sensory Processing: Lessons from Signal Recovery. PLoS Comput. Biol. 8(3) (2012) - [j57]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Separation theorem for independent subspace analysis and its consequences. Pattern Recognit. 45(4): 1782-1791 (2012) - [c37]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Collaborative Filtering via Group-Structured Dictionary Learning. LVA/ICA 2012: 247-254 - [i22]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Collaborative Filtering via Group-Structured Dictionary Learning. CoRR abs/1201.0341 (2012) - [i21]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Automated Word Puzzle Generation via Topic Dictionaries. CoRR abs/1206.0377 (2012) - [i20]Zoltán Szabó, András Lörincz:
Distributed High Dimensional Information Theoretical Image Registration via Random Projections. CoRR abs/1210.0824 (2012) - 2011
- [c36]András Lörincz:
Learning the States: A Brain Inspired Neural Model. AGI 2011: 315-320 - [c35]András Lörincz, Dániel Takács:
AGI Architecture Measures Human Parameters and Optimizes Human Performance. AGI 2011: 321-326 - [c34]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Online group-structured dictionary learning. CVPR 2011: 2865-2872 - [c33]László A. Jeni, Dániel Takács, András Lörincz:
High quality facial expression recognition in video streams using shape related information only. ICCV Workshops 2011: 2168-2174 - [i19]Gabor Matuz, András Lörincz:
Decision Making Agent Searching for Markov Models in Near-Deterministic World. CoRR abs/1102.5561 (2011) - 2010
- [j56]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Auto-regressive independent process analysis without combinatorial efforts. Pattern Anal. Appl. 13(1): 1-13 (2010) - [i18]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Sparse and silent coding in neural circuits. CoRR abs/1010.4138 (2010)
2000 – 2009
- 2009
- [j55]Zoltán Szabó, András Lörincz:
Complex Independent Process Analysis. Acta Cybern. 19(1): 177-190 (2009) - [j54]Katalin Anna Lázár, Erzsébet Csuhaj-Varjú, András Lörincz, György Vaszil:
Dynamically formed Clusters of Agents in Eco-Grammar Systems. Int. J. Found. Comput. Sci. 20(2): 293-311 (2009) - [j53]Barnabás Póczos, András Lörincz:
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques. J. Mach. Learn. Res. 10: 515-554 (2009) - [j52]András Lörincz, Gábor Szirtes:
Here and now: How time segments may become events in the hippocampus. Neural Networks 22(5-6): 738-747 (2009) - [c32]Balázs Pintér, Ákos Bontovics, András Lörincz:
Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa. ALA 2009: 91-106 - [c31]Istvan Szita, András Lörincz:
Optimistic initialization and greediness lead to polynomial time learning in factored MDPs. ICML 2009: 1001-1008 - [c30]Zoltán Szabó, András Lörincz:
Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles. ICA 2009: 146-153 - [c29]András Lörincz, Gábor Szirtes:
Autoregressive model of the hippocampal representation of events. IJCNN 2009: 1885-1892 - [c28]Zoltán Szabó, András Lörincz:
Controlled Complete ARMA Independent Process Analysis. IJCNN 2009: 3038-3045 - [i17]Istvan Szita, András Lörincz:
Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version. CoRR abs/0904.3352 (2009) - 2008
- [j51]Istvan Szita, András Lörincz:
Factored Value Iteration Converges. Acta Cybern. 18(4): 615-635 (2008) - [j50]László A. Jeni, György Flórea, András Lörincz:
InfoMax Bayesian Learning of the Furuta Pendulum. Acta Cybern. 18(4): 637-649 (2008) - [j49]Viktor Gyenes, Ákos Bontovics, András Lörincz:
Factored Temporal Difference Learning in the New Ties Environment. Acta Cybern. 18(4): 651-668 (2008) - [j48]Katalin Anna Lázár, Erzsébet Csuhaj-Varjú, András Lörincz:
Peer-to-Peer Networks: A Language Theoretic Approach. Comput. Informatics 27(3): 403-422 (2008) - [j47]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Spike-based cross-entropy method for reconstruction. Neurocomputing 71(16-18): 3635-3639 (2008) - [j46]Jürgen Jost, Dirk Helbing, András Lörincz, Martin Middendorf:
Editorial. Theory Biosci. 127(2): 67-68 (2008) - [c27]András Lörincz:
Hippocampal Formation Breaks Combinatorial Explosion for Reinforcement Learning: A Conjecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 105-110 - [c26]Istvan Szita, András Lörincz:
The many faces of optimism: a unifying approach. ICML 2008: 1048-1055 - [i16]Barnabás Póczos, András Lörincz:
D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks. CoRR abs/0801.1883 (2008) - [i15]Istvan Szita, András Lörincz:
Online variants of the cross-entropy method. CoRR abs/0801.1988 (2008) - [i14]Istvan Szita, András Lörincz:
Factored Value Iteration Converges. CoRR abs/0801.2069 (2008) - [i13]Istvan Szita, András Lörincz:
The many faces of optimism - Extended version. CoRR abs/0810.3451 (2008) - 2007
- [j45]Zoltán Szabó, András Lörincz:
Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'. Acta Cybern. 18(2): 213-221 (2007) - [j44]András Lörincz, Zoltán Szabó:
Neurally plausible, non-combinatorial iterative independent process analysis. Neurocomputing 70(7-9): 1569-1573 (2007) - [j43]Bálint Takács, András Lörincz:
Simple conditions for forming triangular grids. Neurocomputing 70(10-12): 1741-1747 (2007) - [j42]Istvan Szita, András Lörincz:
Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man. J. Artif. Intell. Res. 30: 659-684 (2007) - [j41]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution. J. Mach. Learn. Res. 8: 1063-1095 (2007) - [c25]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML 2007: 740-747 - [c24]Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lörincz:
Independent Process Analysis Without a Priori Dimensional Information. ICA 2007: 252-259 - [c23]Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz:
Post Nonlinear Independent Subspace Analysis. ICANN (1) 2007: 677-686 - [c22]Viktor Gyenes, András Lörincz:
Co-learning and the Development of Communication. ICANN (1) 2007: 827-837 - 2006
- [j40]Zoltán Szabó, András Lörincz:
ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. Acta Cybern. 17(3): 605-614 (2006) - [j39]Bálint Takács, András Lörincz:
Independent component analysis forms place cells in realistic robot simulations. Neurocomputing 69(10-12): 1249-1252 (2006) - [j38]Barnabás Póczos, András Lörincz:
Non-combinatorial estimation of independent autoregressive sources. Neurocomputing 69(16-18): 2416-2419 (2006) - [j37]István Szita, András Lörincz:
PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities. Neurocomputing 70(1-3): 577-591 (2006) - [j36]