Recognition of traffic signs based on their colour and shape features extracted using human vision models XW Gao, L Podladchikova, D Shaposhnikov, K Hong, N Shevtsova Journal of Visual Communication and Image Representation 17 (4), 675-685, 2006 | 353 | 2006 |
Road sign recognition by single positioning of space-variant sensor window DG Shaposhnikov, N Lubov, AVG Podladchikova, NA Shevtsova, K Hong, ... Red 393 (423), 57-95, 2002 | 56 | 2002 |
Colour vision model-based approach for segmentation of traffic signs X Gao, K Hong, P Passmore, L Podladchikova, D Shaposhnikov EURASIP Journal on image and video processing 2008, 1-7, 2007 | 54 | 2007 |
Vision models based identification of traffic signs X Gao, N Shevtsova, K Hong, S Batty, L Podladchikova, A Golovan, ... Conference on Colour in Graphics, Imaging, and Vision 1, 47-51, 2002 | 35 | 2002 |
Model-based approach to study of mechanisms of complex image viewing LN Podladchikova, DG Shaposhnikov, AV Tikidgji-Hamburyan, ... Optical Memory and Neural Networks 18, 114-121, 2009 | 29 | 2009 |
High-precision detection of facial landmarks to estimate head motions based on vision models X Gao, S Anishenko, D Shaposhnikov, L Podladchikova, S Batty, J Clark Journal of computer sciences 3 (7), 528-532, 2007 | 27 | 2007 |
Temporal dynamics of fixation duration, saccade amplitude, and viewing trajectory LN Podladchikova, DG Shaposhnikov, TI Koltunova, AV Dyachenko, ... Journal of integrative neuroscience 8 (04), 487-501, 2009 | 19 | 2009 |
Spoken and inner speech-related EEG connectivity in different spatial direction VN Kiroy, OM Bakhtin, EM Krivko, DM Lazurenko, EV Aslanyan, ... Biomedical Signal Processing and Control 71, 103224, 2022 | 18 | 2022 |
Scanpaths of complex image viewing: insights from experimental and modeling studies A Samarin, T Koltunova, V Osinov, D Shaposhnikov, L Podladchikova Perception 44 (8-9), 1064-1076, 2015 | 18 | 2015 |
Application of vision models to traffic sign recognition XW Gao, L Podladchikova, D Shaposhnikov International Conference on Artificial Neural Networks, 1100-1105, 2003 | 13 | 2003 |
Changes in EEG spectral characteristics in the course of neurofeedback training VN Kiroy, DM Lazurenko, IE Shepelev, NR Minyaeva, EV Aslanyan, ... Human Physiology 41, 269-279, 2015 | 12 | 2015 |
Toward a robust system to monitor head motions during pet based on facial landmark detection: A new approach S Anishchenko, V Osinov, D Shaposhnikov, L Podlachikova, R Comley, ... 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 50-52, 2008 | 10 | 2008 |
MARR: Active vision model LN Podladchikova, VI Gusakova, DG Shaposhnikov, A Faure, AV Golovan, ... Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active …, 1997 | 10 | 1997 |
Approximation-based transformation of color signal for heart rate estimation with a webcam M Kopeliovich, M Petrushan, D Shaposhnikov Pattern Recognition and Image Analysis 28, 646-651, 2018 | 8 | 2018 |
Comparative analysis of color-and grayscale-based feature descriptions for image recognition M Petrushan, Y Vermenko, D Shaposhnikov, S Anishchenko Pattern recognition and image analysis 23, 415-418, 2013 | 7 | 2013 |
Facial image segmentation based on mixed colour space S Anishenko, D Shaposhnikov, R Comley, X Gao Proc. XV Int. Conf. on Neurocybernetics 2, 231-234, 2009 | 7 | 2009 |
Classification of Images on the Basis of the Properties of Informative Regions DG Shaposhnikov, LN Podladchikova, X Gao PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I …, 2003 | 7 | 2003 |
The peculiarities of visual perception in the peripheral vision field DG Shaposhnikov, YF Gizatdinova, LN Podladchikova PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I …, 2001 | 7 | 2001 |
Active vision: from theory to application AI Samarin, LN Podladchikova, MV Petrushan, DG Shaposhnikov Optical Memory and Neural Networks 28, 185-191, 2019 | 6 | 2019 |
Colour appearance based approaches for segmentation of traffic signs X Gao, K Hong, L Podladchikova, D Shaposhnikov, P Passmore EURASIP Journal on Image and Video Processing 2008, 2008 | 6 | 2008 |