Richard Zanibbi
Professor
PhD (Comp. Sc.), MSc, BMusic, BA (Queen's University, Canada)
Director, Document and Pattern Recognition Lab (dprl)
Department of Computer Science
Rochester Institute of Technology (NY, USA)

Office Hours (Fall 2018): Tuesdays and Thursdays 2:00-3:20pm
Office: Golisano Hall Rm. 3551
Phone: (585) 475-5023 Email: rxzvcs @ rit edu (Teaching/Advising), rlaz @ cs rit edu

[ Home ] -- [ For Students ] -- [ Teaching ] -- [ Research ] -- [ Publications ] -- [ Software ]

I am a Professor of Computer Science at RIT. My research interests include pattern recognition and machine learning, with applications in document recognition and information retrieval. Recently I've worked on math-aware search engines and interfaces, recognizing math notation, locating text in pictures, and audio-visual search in lecture videos. Please click on the links above for information about my teaching, research, publications (including .pdfs), software produced by or associated with the dprl, and resources for students.

I direct the Document and Pattern Recognition Lab (dprl) and am affiliated with the Intelligent Systems Area in the Computer Science Department. I am on the Editorial Board of the International Journal on Document Analysis and Recognition (IJDAR), and am a member of the IEEE Computer Society, ACM, and International Association for Pattern Recognition (IAPR). I currently serve as the Communications Officer for IAPR Technical Committee No. 11 ('Reading Systems'), and recently Co-Chaired the International Conference on Frontiers in Handwriting Recognition (ICFHR 2018).

Students interested in doing an Independent Study, Master's project or thesis with me should consult the DPRL Project and Thesis Guidelines. Please Note: I do not accept Master's students into my lab as RA's or advisees before they have completed their first year of study, and do not have time to respond to emails asking for advice on how to prepare for/excel at work in Machine Learning or other areas of Computer Science.


News (dprl News)

        

Best Paper Award at ICFHR 2018. My former PhD student Kenny Davila and I received the award for Best Paper at ICFHR (Aug 2018).

Tangent-V ('visual' search). Kenny Davila's Tangent-V system for visual search in binary images in now available for download. An accompanying paper is being presented at ICFHR 2018 in Niagara Falls in early August. Kenny applied Tangent-V to searching for math in lecture notes, and in automatically generated keyframe summaries of whiteboard contents in math lecture videos.

Promotion to Full Professor. I was recently promoted to Full Professor (Fall 2018). My sincerest thanks to my students, collaborators, and colleagues for helping make this possible.

NSF CISE/III Grant. In December 2017, the National Science Foundation (USA) awarded a grant to myelf, Anurag Agarwal (RIT), Douglas Oard (Univ. Maryland, College Park), and Lee Giles (Penn State) in support of research into exploiting text-math relationships in the design of math-aware search engines, and integration with the CiteSeerX technical paper database.

Sloan Foundation Grant. In July 2017, the Alfred P. Sloan Foundation awarded a grant to myself and Lee Giles (Penn State) to incorporate math-aware search into the CiteSeerX search engine, and develop related technologies to make this useful for the general public.

Kenny Davila, Ph.D. (July 17th, 2017) Kenny Davila has successfully defended his PhD dissertation, titled "Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment." Kenny's dissertation was co-advised by myself and Dr. Stephanie Ludi (Univ. North Texas). Kenny created a formula search engine capable of using visual structure, semantics, or just the symbol layout of formulae. From this, he is able to do cross-modal searches to locate formulae in lecture videos from rendered LaTeX formulae. He also created a system that can be used to jump to a video frame where selected ink from the whiteboard is first drawn (YouTube demo).

Outstanding Scholar Award. I was the recipient of the 2017 RIT Golisano Computing College Outstanding Scholar Award, given to an individual with a strong research track record whose work is "integral to, and not separated from, all aspects of a student's educational experience at RIT." My sincerest thanks to the dprl students whose hard work, dedication, and strong results made this possible.

dprl's 10th Anniversary Presentation. I gave a brief presentation at the RIT GCCIS Research Showcase in April 2017 about the lab, dprl@10: The Document and Pattern Recognition Lab's First 10 Years. A sincere thanks and congratulations to all of the dprl students from these first 10 years!

SIGIR 2017 Formula Search Paper. Kenny Davila's paper, "Layout and Semantics: Combining Reprsentations for Math Formula Search" has been accepted for poster presentation at SIGIR 2017, the leading information retrieval conference. The conference is being held in Tokyo this August.

ICFHR 2016 Best Poster Award. In October 2016, Lei Hu's poster at ICFHR 2016 received the Best Poster Award. His winning paper was entitled, MST-Based Parsing of Online Handwritten Mathematical Expressions.

CROHME 2016. The CROHME 2016 international handwritten math recognition competition has ended! Congratulations to MyScript and Wiris for obtaining the highest recognition rates. Details of the competition appeared in a paper at the ICFHR.

NTCIR-12 MathIR Competition. I co-organized the NTCIR-12 Math Information Retrieval Task for the NTCIR-12 conference held in Tokyo (June, 2016). The NTCIR-12 MathIR Task overview paper is available, along with all participant papers describing submitted systems and results.

SIGIR 2016 Formula Search Paper. My PhD student Kenny Davila co-authored a paper on scalable formula search entitled "Multi-Stage Math Formula Search: Using Appearance-Based Similarity Metrics at Scale", which was accepted for publication at ACM SIGIR 2016. Kenny's co-authors include Frank Tompa and Andrew Kane from Univ. Waterloo, and myself. SIGIR is the leading international conference on Information Retrieval.

CVPR 2016 Text Detection Paper. A paper by my PhD student Siyu Zhu, entitled "A Text Detection System for Natural Scenes with Convolutional Feature Learning and Cascaded Classification" was accepted for publication at CVPR, the leading international computer vision conference. Siyu obtained state-of-the-art text detection results for the ICDAR 2015 Robust Reading Competition (Focused Scene Text Localization task).

AccessMath Lecture Audio Search Demo and Paper. A demonstration of results from the DPRL lab's unsupervised audio keyword search system is available online, along with an associated Pattern Recognition Letters paper published in Feb. 2016.

Math Search for the Masses (CICM Talk). I gave an invited talk on math search interfaces and search engines at the Conferences on Intelligent Computer Mathematics in Washington, DC (July, 2015; Math Search for the Masses). A YouTube video of the talk which I gave in the RIT Imaging Science Seminar Series is available online here.