IMTA will be held as a full-day event on January 11, 2021.

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Time (CET) Paper
12:00-12:20 Workshop Opening
Session 1. Invited Papers (12:21 - 13:20)
12:21-12:50 Dr. Davide Moroni and Dr. Maria Antonietta Pascali
Keynote - Learning topology: bridging computational topology and machine learning
Institute of Information Science and Technologies, CNR, Pisa, Italy
12:51-13:20 Prof. Dr. Bernd Radig
Keynote - Automated Visual Large Scale Monitoring of Faunal Biodiversity
Munich Technical University, Munich, Germany
Session 2. Regular Papers (13:21 - 16:00)
13:21-13:30 Nikita Andriyanov, Vitaly Dement'Ev, Alexandr Tashlinsky and Konstantin Konstantinovich Vasiliev
The Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks
13:31-13:40 Nikita Andriyanov
First Step Towards Creating a Software Package for Detecting the Dangerous States During Driver Eye Monitoring
13:41-13:55 Viacheslav Antsiperov
Maximum Similarity Method for Image Mining
13:56-14:05 Alina Belko, Konstantin Dobratulin and Andrey Kuznetsov
Two-stage classification model for feather images identification
14:06-14:20 Pavel Chochia
Image decomposition based on region-constrained smoothing
14:21-14:30 Vitalii Dementev, Marat Suetin, Maria Gaponova and Anastasia Streltsova
The use of machine learning methods to detect defects in images of metal structures
14:31-14:40 Polina Demochkina and Andrey V. Savchenko
MobileEmotiFace: Efficient Facial Image Representations in Video-based Emotion Recognition on Mobile Devices
14:41-14:55 Sergey Dvoenko and Denis Pshenichny
On New Kemeny’s Medians
14:56-15:05 Igor Gurevich, Maria Budzinskaya, Vera Yashina, Adil Tleubaev, Vladislav Pavlov and Denis Petrachkov
Automation of the Detection of Pathological Changes in the Morphometric Characteristics of the Human Eye Fundus Based on the Data of Optical Coherence Tomography Angiography
15:06-15:20 Nataly Ilyasova, Aleksandr Shirokanev, Nikita Demin and Andrey Zolotarev
High-performance algorithms application for retinal image segmentation based on texture features
15:21-15:30 Kirill Kalmutskiy, Vladimir Berikov and Andrey Tulupov
Recognition of tomographic images in the diagnosis of stroke
15:31-15:40 Alexander Karkishchenko and Valeriy Mnukhin
Interest points detection based on sign representations of digital images
15:41-15:50 Victor Krasheninnikov, Yuliya Kuvayskova, Olga Malenova and Alexey Subbotin
The test of covariation functions of cylindrical and circular images
15:51-16:00 Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj and Anastasios Tefas
Human Action Recognition using Recurrent Bag-of-Features Pooling
Session 3. Invited Papers (16:01 – 17:00) 
16:01-16:30 Dr. Eng. Igor Gurevich and Dr. Vera Yashina
Keynote - Basic Models of Descriptive Image Analysis
Federal Research Center “Computer Sciences and Control” of the Russian Academy of Sciences, Moscow, Russian Federation
16:31-17:00 Prof. Dr. Gerhard Ritter
Keynote - Pattern Recognition Capabilities of Lattice based Neural Networks
University of Florida, Gainesville, USA
Session 4: Regular Papers (17:01 – 19:40)
17:01-17:15 Luciano Melodia and Richard Lenz
Estimate of the Neural Network Dimension Using Algebraic Topology and Lie Theory
17:16-17:30 Eckart Michaelsen
On the Depth of Gestalt Hierarchies in Common Imagery
17:31-17:40 Dmitry Murashov, Aleksey Berezin and Ekaterina Ivanova
Algorithms Based on Maximization of the Mutual Information for Measuring Parameters of Canvas Texture from Images
17:41-17:55 Evgeny Myasnikov
Evaluation of spectral similarity measures and dimensionality reduction techniques for hyperspectral images
17:56-18:05 Rodrigo Nava, Duc Fehr, Frank Petry and Thomas Tamisier
Tire Surface Segmentation in Infrared Imaging with Convolutional Neural Networks
18:06-18:20 Anatoly Nemirko
Image recognition algorithms based on the representation of classes by convex hulls
18:21-18:30 Alexander Petunin, Alexander Khalyavka, Michael Khachay, Andrei Kudriavtsev, Pavel Chentsov, Efim Polishchuk and Stanislav Ukolov
Library of sample image instances for the Cutting Path Problem
18:31-18:40 V. B. Surya Prasath, Dang Ngoc Hoang Thanh, Nguyen Hoang Hai and Sergey Dvoenko
Multiregion multiscale image segmentation with anisotropic diffusion
18:41-18:50 Ivan Semchuk, Natalia Muravskaya, Konstantin Zlobin and Andrey Samorodov
Machine learning approach for contactless photoplethysmographic measurement verification
18:51-19:00 Oleg Seredin, Andrey Kopylov and Aleksandr Larin
One-class classification criterion robust to anomalies in training dataset
19:01-19:10 Zaur Shibzukhov and Timofey Semenov
Machine Learning Based on Minimizing Robust Mean Estimates
19:11-19:25 Ghulam-Sakhi Shokouh, Baptiste Magnier, Binbin Xu and Philippe Montesinos
An Objective Comparison of Ridge/Valley Detectors by Image Filtering
19:26-19:40 Sergey Usilin, Oleg Slavin and Vladimir Arlazarov
Memory Consumption and Computation Efficiency Improvements of Viola-Jones Object Detection Method for UAVs
19:41-20:00 Workshop Closing