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Vladimir V. Khryashchev
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2020 – today
- 2021
- [c32]Vladimir V. Khryashchev, Anton Lebedev, Olga Stepanova, Anastasia Srednyakova:
Analysis of Pathologies on Endoscopic Images of the Stomach Using SSD and RetinaNet Neural Network Architecture. EWDTS 2021: 1-5 - 2020
- [c31]Roman Larionov, Vladimir V. Khryashchev, Vladimir A. Pavlov, Alexander Ganin:
Quarry Areas Segmentation on Satellite Images by Convolutional Neural Networks. EWDTS 2020: 1-5 - [c30]Anton Lebedev, Vladimir V. Khryashchev, Evgeniya Kazina, Anastasia Zhuravleva, Sergey Kashin, Dmitry Zavyalov:
Automatic Identification of Appendiceal Orifice on Colonoscopy Images Using Deep Neural Network. EWDTS 2020: 1-5 - [c29]Roman Larionov, Vladimir V. Khryashchev, Vladimir A. Pavlov:
Separation of Closely Located Buildings on Aerial Images Using U-Net Neural Network. FRUCT 2020: 256-261
2010 – 2019
- 2019
- [c28]Vladimir V. Khryashchev, Roman Larionov, Anna Ostrovskaya, Alexander Semenov:
Modification of U-Net neural network in the task of multichannel satellite images segmentation. EWDTS 2019: 1-4 - [c27]Vladimir V. Khryashchev, Vladimir A. Pavlov, Anna Ostrovskaya, Roman Larionov:
Forest Areas Segmentation on Aerial Images by Deep Learning. EWDTS 2019: 1-5 - [c26]Leonid Ivanovsky, Vladimir V. Khryashchev, Vladimir A. Pavlov, Anna Ostrovskaya:
Building Detection on Aerial Images Using U-NET Neural Networks. FRUCT 2019: 116-122 - [c25]Vladimir V. Khryashchev, Olga Stepanova, A. A. Lebedev, Sergey Kashin, Roman Kuvaev:
Deep Learning for Gastric Pathology Detection in Endoscopic Images. ICGSP 2019: 90-94 - [c24]Anton Lebedev, Vladimir V. Khryashchev, Anton Stefanidi, Olga Stepanova, Sergey Kashin, Roman Kuvaev:
Convolutional neural network for early detection of gastric cancer by endoscopic video analysis. ICMV 2019: 1143325 - 2018
- [c23]Vladimir V. Khryashchev, Vladimir A. Pavlov, Andrey Priorov, Anna A. Ostrovskaya:
Deep Learning for Region Detection in High-Resolution Aerial Images. EWDTS 2018: 1-5 - [c22]Elena Aminova, Ilya Trapeznikov, Andrey Priorov, Vladimir V. Khryashchev:
DSLR Imperfections Extraction from Image for Source Detection. FRUCT 2018: 12-18 - [c21]Vladimir V. Khryashchev, Leonid Ivanovsky, Vladimir A. Pavlov, Anna Ostrovskaya, Anton Rubtsov:
Comparison of Different Convolutional Neural Network Architectures for Satellite Image Segmentation. FRUCT 2018: 172-179 - [c20]Vladimir V. Khryashchev, Artem I. Topnikov, Anton F. Stefanidi, Andrey L. Priorov:
Bimodal person identification using voice data and face images. ICMV 2018: 1104116 - [c19]Vladimir V. Khryashchev, Leonid Ivanovsky, Andrey Priorov:
Deep Learning for Real-Time Robust Facial Expression Analysis. ICMVA 2018: 66-70 - 2017
- [c18]Anton Lebedev, Vladimir V. Khryashchev, Andrey Priorov, Olga Stepanova:
Face verification based on convolutional neural network and deep learning. EWDTS 2017: 1-5 - [c17]Andrey L. Priorov, P. O. Pavlovichev, Vladimir V. Khryashchev:
Research of the speech signal reconstruction at empirical mode decomposition. EWDTS 2017: 1-7 - [c16]Leonid Ivanovsky, Vladimir V. Khryashchev, Anton Lebedev, Igor Kosterin:
Facial expression recognition algorithm based on deep convolution neural network. FRUCT 2017: 141-147 - [c15]Andrey Noskov, Vladimir Volokhov, Andrey Priorov, Vladimir V. Khryashchev:
Full-focused image fusion in the presence of noise. FRUCT 2017: 254-259 - 2016
- [c14]Ilya Nenakhov, Vladimir V. Khryashchev, Andrey L. Priorov:
No-reference image quality assessment based on local binary patterns. EWDTS 2016: 1-4 - [c13]Vladimir V. Khryashchev, Ilya Nenakhov, Anton Lebedev, Andrey Priorov:
Evaluation of face image quality metrics in person identification problem. FRUCT 2016: 80-87 - [c12]Anton Lebedev, Vladimir A. Pavlov, Vladimir V. Khryashchev, Olga Stepanova:
Face detection algorithm based on a cascade of ensembles of decision trees. FRUCT 2016: 161-166 - 2015
- [c11]Vladimir V. Khryashchev, Andrey L. Priorov, Olga Stepanova, Igor Kosterin:
Improving the eyes localization algorithm for face recognition systems. EWDTS 2015: 1-4 - [c10]Anatoly Nikitin, Vladimir V. Khryashchev, Olga Stepanova, Igor Kosterin:
Eye center localization on a facial image based on multi-block local binary patterns. FRUCT 2015: 129-135 - 2014
- [j1]Vladimir V. Khryashchev, Lev Shmaglit, Andrey L. Priorov, Andrey M. Shemyakov:
Extracting adaptive features for gender classification of human face images. Program. Comput. Softw. 40(4): 215-221 (2014) - [c9]Vladimir V. Khryashchev, Andrey L. Priorov, Alexander Ganin:
Gender and age recognition for video analytics solution. AIPR 2014: 1-6 - [c8]Vladimir V. Khryashchev, Alexander Ganin, Olga Stepanova, Anton Lebedev:
Age estimation from face images: challenging problem for audience measurement systems. FRUCT 2014: 31-37 - [c7]Vladimir V. Khryashchev, Lev Shmaglit, Andrey M. Shemyakov, Anton Lebedev:
Gender classification for real-time audience analysis system. FRUCT 2014: 52-59 - [c6]Vladimir V. Khryashchev, Andrey L. Priorov, Alexander Ganin:
Online Audience Measurement System Based on Machine Learning Techniques. VAAM@ICPR 2014: 111-122 - 2013
- [c5]Vladimir A. Pavlov, Vladimir V. Khryashchev, Evgeny Pavlov, Lev Shmaglit:
Application for video analysis based on machine learning and computer vision algorithms. FRUCT 2013: 90-100 - 2010
- [c4]Vladimir V. Khryashchev, Andrey L. Priorov, Lev Shmaglit:
JPEG2000 Ringing Artifact Reduction by Smart Bilateral Filter. IPCV 2010: 622-627
2000 – 2009
- 2005
- [c3]Pavel S. Zvonarev, Ilia V. Apalkov, Vladimir V. Khryashchev, Andrey L. Priorov:
Adaptive Switching Median Filter with Neural Network Impulse Detection Step. ICANN (1) 2005: 537-542 - [c2]Pavel S. Zvonarev, Ilia V. Apalkov, Vladimir V. Khryashchev, Irina V. Reznikova:
Neural Network Adaptive Switching Median Filter for the Restoration of Impulse Noise Corrupted Images. ICIAR 2005: 223-230 - [c1]Vladimir V. Khryashchev, Andrey L. Priorov, Ilia V. Apalkov, Pavel S. Zvonarev:
Image denoising using adaptive switching median filter. ICIP (1) 2005: 117-120
Coauthor Index
aka: Andrey Priorov
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