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Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality
P. 608–611.
This paper introduces an innovative approach to manga colorization within augmented reality (AR) environments, focusing on the unique challenges posed by colorizing photos of manga books. We present a novel method using diffusion models to generate a synthetic dataset that accurately replicates photographed manga pages. Additionally, we have compiled a dataset of real manga photographs, capturing diverse environmental conditions. Integrating these datasets, we established a comprehensive benchmark to evaluate colorization models in scenarios that simulate AR applications. This benchmark was validated through a human study, confirming the accuracy of our metrics across both datasets. We also showed that domain adaptation may improve model performance. Paving the way for practical applications, our framework enables the creation of an AR application designed to execute manga colorization effectively.
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330
Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...
Added: October 14, 2026
Trofimova E., Shamina Z., Selifanova M. et al., , in: Proceedings of the Generative Code Intelligence Workshop (GeCoIn 2026), co-located with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026)Vol. 4238.: CEUR-WS.org, 2026.
We introduce ML2B, the first benchmark for evaluating cross-lingual task comprehension in end-to-end ML pipeline generation by large language models. Despite growing global AI adoption, no systematic evaluation exists for ML pipeline generation beyond English task descriptions. ML2B addresses this gap with 35 Kaggle competitions spanning tabular, text, and image domains, translated into 14 languages ...
Added: August 20, 2026
Edward R. Rzaev, Aleksandr Y. Romanov, Andrey M. Sukhov, IEEE Access 2026 Vol. 14 P. 112184–112201
This work presents a hierarchy of strictly local fault-tolerant routing algorithms for 3D mesh networks-on-chip, culminating in an algorithm that combines a live-neighbor selection rule with a bounded single-hop rollback mechanism. The proposed algorithms operate exclusively on immediate neighbor information, maintain O(1) per hop complexity, and require no global topology knowledge, additional virtual channels, or ...
Added: July 23, 2026
Karpukhin I., Shipilov F., Savchenko A., Neurocomputing 2026 Vol. 672 Article 132771
Forecasting multiple future events within a given time horizon is essential for applications in finance, retail,
social networks, and healthcare. This problem is typically addressed using Marked Temporal Point Processes
(MTPP), which provide a principled framework for modeling both event timing and event labels. While most
existing research focuses on predicting only the next event, forecasting distant future ...
Added: February 25, 2026
Shulginov V., Hasan Berkcan Şimşek, Sergei Kudriashov et al., , in: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2025)Issue 23.: [б.и.], 2025. P. 345–360.
This study presents a framework for evaluating the effectiveness of language models (LLMs) in detecting disagreement across a wide range of pragmatic strategies, from mitigated forms to overt verbal aggression. Special attention is given to complex cases of implicit manifestations of irony and sarcasm, which pose significant challenges for both automated analysis and interpersonal communication. ...
Added: April 30, 2025
Golyadkin M., Saraev S., Makarov I., IEEE Access 2025 Vol. 13 P. 7526–7537
Manga colorization in augmented reality (AR) environments presents unique challenges, particularly when colorizing manga pages captured in photos under various real-world conditions. Testing models in AR settings for manga colorization has been a significant challenge, primarily because of the absence of suitable datasets tailored for this task. To address this, we propose a benchmark for ...
Added: April 29, 2025
Gorshkov S., Ignatov D. I., Chernysheva A. et al., IEEE Access 2025 Vol. 13 P. 962–979
Identifying potentially high-performing students is crucial for universities aiming to enhance educational outcomes, for companies seeking to recruit top talents early, and for advertising platforms looking to optimize targeted marketing. This paper introduces an algorithm designed to identify students with exceptional academic performance by analyzing their subscriptions to communities on the social network VKontakte. The ...
Added: January 3, 2025
Taktasheva E., Bazhukov M., Koncha K. et al., , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.: Association for Computational Linguistics, 2024. P. 9268–9299.
Minimal pairs are a well-established approach to evaluating the grammatical knowledge of language models. However, existing resources for minimal pairs address a limited number of languages and lack diversity of language-specific grammatical phenomena. This paper introduces the Russian Benchmark of Linguistic Minimal Pairs (RuBLiMP), which includes 45k pairs of sentences that differ in grammaticality and ...
Added: January 2, 2025
Spirin S., Sigorskikh A., Efremov A. et al., Molecular Biology and Evolution 2024 Vol. 41 No. 6 Article msae084
Phylogenetic inference based on protein sequence alignment is a widely used procedure. Numerous phylogenetic algorithms have been developed, most of which have many parameters and options. Choosing a program, options, and parameters can be a nontrivial task. No benchmark for comparison of phylogenetic programs on real protein sequences was publicly available. We have developed PhyloBench, ...
Added: August 7, 2024
Алкзир Н., Nikolaev I., Nikolaev D., Proceedings - European Council for Modelling and Simulation 2023 Vol. 2023-June P. 298 – 305
Added: June 11, 2024
Pavel Latyshev, Fedor Pavlov, Herbert A. et al., , in: Proceedings of 11th Moscow Conference on Computational Molecular Biology MCCMB'23.: IITP RAS, 2023.
Added: December 1, 2023
Alanov A., Titov V., Nakhodnov M. et al., , in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).: IEEE, 2023. P. 2184–2194.
Added: June 21, 2023
Pavel Latyshev, Fedor Pavlov, Herbert A. et al., Frontiers in Big Data 2023 Vol. 6 Article 1140663
Due to advances in NGS technologies whole-genome maps of various functional genomic elements were generated for a dozen of species, however experiments are still expensive and are not available for many species of interest. Deep learning methods became the state-of-the-art computational methods to analyze the available data, but the focus is often only on the ...
Added: June 8, 2023
Alanov A., Titov V., Vetrov D., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 29414–29426.
Domain adaptation framework of GANs has achieved great progress in recent years as a main successful approach of training contemporary GANs in the case of very limited training data. In this work, we significantly improve this framework by proposing an extremely compact parameter space for fine-tuning the generator. We introduce a novel domain-modulation technique that ...
Added: January 27, 2023
Sanchez-Junquera J., Villasenor-Pineda L., Montes-y-Gomez M. et al., Pattern Recognition Letters 2020 Vol. 135 P. 122–130
The facilities provided by social media and computer-mediated communication make easy the dissemination of deceptive behavior, after which different entities or people could be affected. The deception detection by supervised learning has been widely studied; however, the scenario in which there is one domain of interest and the labeled data is in another domain has received poor attention. This paper presents, to ...
Added: October 29, 2020
Nikolskiy V., Stegailov V., В кн.: Суперкомпьютерные дни в России: Труды международной конференции (25-26 сентября 2017 г., г. Москва).: М.: Издательство МГУ, 2017. С. 595–606.
В данной работе мы сравниваем возможности компиляторов по построению век-торизованного кода для современных процессоров ARMv8 и x86_64 и обсуждаемассемблерный алгоритм достижения максимальной производительности на обеихархитектурах. Представлен высокооптимизированный микротест, достигающиймаксимальную долю от пиковой производительности на процессоре ARMv8, в товремя как аналогичные программы для архитектуры x86_64 уже разработаны.Тесты были проведены на системе-на-чипе Nvidia Tegra X1 с четырьмя ...
Added: October 30, 2019
Galanova A., Дукова В. В., Корпоративные финансы 2018 Т. 12 № 4 С. 43–60
This article proposes a new extended approach to identifying the economic determinants of the performance of Russian mutual funds. The purpose of this study is to identify the factors that affect mutual funds’ excess return, both in the aggregate form (for the Russian mutual fund market in general, i.e. broad categories of funds with different ...
Added: February 22, 2018