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)
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.
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 Boards for the International Journal on Document Analysis and Recognition (IJDAR) and IET Computer Vision, and am a member of the IEEE Computer Society, ACM, and International Association of Pattern Recognition (IAPR). I recently joined IAPR Technical Committee No. 11 ('Reading Systems') as the Communications Officer (i.e., I will manage the TC-11 newsletter).
ICFHR 2018. I am co-chairing the 2018 International Conference on Frontiers in Handwriting Recognition in Niagara Falls, New York. Please spread the word!
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.
News (dprl News)
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.