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Olga Radyvonenko

2 accepted papers

2026

PIX-TAB: Efficient PIXel-Precise TABle Structure Recognition Approach with Speculative Decoding and Region-Based Image Segmentation

CVPR 2026

Table structure recognition in document AI faces significant challenges due to layout inconsistencies, merged cells, and complex nested structures, which is further exacerbated by the scarcity of large, diverse annotated datasets. In this paper, we present PIX-TAB (Efficient PIXel-Precise TABle Stru

Cited by 0SourceScholar
2021

Hierarchical Recurrent Neural Network for Handwritten Strokes Classification

ICASSP 2021accepted

The paper presents an original solution to the online handwritten document processing in a free form, which is aimed at separating multi-class handwritten documents into texts, tables, formulas, drawings, etc. Stroke classification is an important step in automatic document layout analysis (DLA) in…

Cited by 0SourceScholar