Document and Pattern Recognition Lab
( dprl@RIT )

We research systems that recognize and retrieve information in documents, images, and videos.

News: 2023

  • (July 11, 2023) The lab's poster and longer video demonstration for our MathDeck demo at SIGIR 2023 are now available. Live demo page link is here.
  • (June 27, 2023) The first initial release of the ChemScraper tool developed by the dprl, Denmark Lab, and NCSA has been released.  There are plans to regularly update the tool moving forward; look for updates in the coming months.
  • (June 27, 2023) Abhisek Dey and Ming Creekmore presented a poster on our lab's work on extracting and recognizing chemical diagrams for the MMLI ChemScraper system for an NSF Site visit with the MMLI AI Center at UIUC (in Champaign, Illinois). Ayush Kumar Shah and Bryan Amador, who also contributed to the system participated in the meeting as well.
  • (April 19, 2023) Ayush Kumar Shah published a paper on an improved math formula parsing model using line-of-sight graphs (the Line-of-sight with Graph Attention Parser (LGAP), previously named QD-GGA). The paper will be presented at ICDAR 2023.
  • (April 1, 2023) A demonstration paper for the MathDeck system searching text and formulas in PDF files from the ACL Anthology will appear at SIGIR 2023. Bryan Amador, Matt Langsenkamp, Abhisek Dey, and Ayush Kumar Shah created the demo. A number of past DPRL students made important contributions as part of the MathSeer project.

Room 70-3500, GCCIS
Dept. Computer Science
Rochester Inst. Technology
Rochester, NY, 14623-5608


Phone: +1 (585) 475-4536
Fax: +1 (585) 475-4935