7 citations · 7 across the 4 of their papers we have counts for
4 papers
Uncertainty-Aware Complex Scientific Table Data Extraction
Kehinde Ajayi, Yi He, Jian Wu
Table structure recognition (TSR) and optical character recognition (OCR) play crucial roles in extracting structured data from tables in scientific documents. However, existing ex…
Uncertainty Quantification in Table Structure Recognition
Kehinde Ajayi, Leizhen Zhang, Yi He +1
Quantifying uncertainties for machine learning models is a critical step to reduce human verification effort by detecting predictions with low confidence. This paper proposes a met…
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding
Kehinde Ajayi, Xin Wei, Martin Gryder +5
Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still…
A Study on Reproducibility and Replicability of Table Structure Recognition Methods
Kehinde Ajayi, Muntabir Hasan Choudhury, Sarah Rajtmajer +1
Concerns about reproducibility in artificial intelligence (AI) have emerged, as researchers have reported unsuccessful attempts to directly reproduce published findings in the fiel…