Anastasiia Fadeeva

dblp:355/0013 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Databases, data management, data science and information retrieval · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Image recognition and object detection · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection › handwriting recognition
handwritten mathematical expression recognition
0.912025
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition · KDD (2) 2025
Image and video processing
document image analysis
0.312025
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition · KDD (2) 2025
Image and video processing › document image analysis › character recognition
optical character recognition
0.312025
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition · KDD (2) 2025

Methods — techniques the papers use, named apart from their topics

vision-language model · 1.7CTC Transformer · 1.7
YearPublicationVenuePosition
2025 MathWriting: A Dataset For Handwritten Mathematical Expression Recognition
abstract
Recognition of handwritten mathematical expressions allows to transfer scientific notes into their digital form. It facilitates the sharing, searching, and preservation of scientific information. We introduce MathWriting, the largest online handwritten mathematical expression dataset to date. It consists of 230k human-written samples and an additional 400k synthetic ones. This dataset can also be used in its rendered form for offline HME recognition. One MathWriting sample consists of a formula written on a touch screen and a corresponding LaTeX expression. We also provide a normalized version of LaTeX expression to simplify the recognition task and enhance the result quality. We provide baseline performance of standard models like OCR and CTC Transformer as well as Vision-Language Models like PaLI on the dataset. The dataset together with an example colab is accessible on Github.
Philippe Gervais, Anastasiia Fadeeva, Andrii Maksai
KDD (2)2
2023 DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split Generation
Aleksandr Timofeev, Anastasiia Fadeeva, Andrei Afonin, Claudiu Cristian Musat, Andrii Maksai
ICDAR (4)2