Jayant Kumar

3348, A. V. Williams Bldg.
Department of Computer Science,
University of Maryland, College Park, MD

Email: my_first_name AT umiacs DOT umd DOT edu
Resume: jayant_kumar_cv

I am a fourth year PhD student in the department of Computer Science at Univ. of Maryland College Park. I work as a research assistant with David Doermann at Language and Media Processing Lab., UMIACS. My research interests lie in the areas of Document Image Analysis and retrieval, Computer vision and Machine learning. I have been working on following problems:

• Ranking and retrieval of document images
• Extraction of handwritten textlines in document images
• Content based image retrieval(CBIR)
• Sharpness estimation and enhancement of document and scene images

• Ph.D., Computer Science, Univ. of Maryland College Park, 2008-present
• M.S., Computer Science, Univ. of Maryland College Park,  2008-2010
• B. E., Computer Science & Engineering, R. V. College of Engineering, Bangalore, 2002-2006

• Research Assistant, Language and Media Processing Lab. ,UMIACS, College Park, August 2008 - present
• Intern , Xerox Innovation group , Xerox Research Center Webster , Webster, May 2012 - present
• Intern, Multimedia systems, Fuji-Xerox Palo Alto Lab , Palo Alto, May 2011 - August 2011
• Intern, Document Analysis and Vision group, Raytheon BBN technologies , Boston, June 2010 - Aug. 2010
• Research Assistant, MILE Lab., Indian Institute of Science, Bangalore, Feb. 2007 - June 2008
• Development Engineer, Aditi Technologies, Bangalore, July 2006 - Feb. 2007
• Intern, NonStop Enterprise Division, Hewlett-Packard, Bangalore, Jan. 2006 - May 2006

Patents: 

• Sharpness Estimation in Document and Scene Images (US patent filed Oct. 2011, Ref:FXPAL-IP-11-004)
• Smart document capture based on likely scanned-image quality (US patent filed March 2012, Ref:FXPAL-IP-11-009)

    Selected Conferences:

1. Learning Text-line Segmentation using Codebooks and Graph Partitioning, Intl. Conf. on Frontiers in Handwriting Recognition (ICFHR) , Bari(Italy), 2012. [Kang et al.](Accepted)
2. Unsupervised Feature Learning Framework for No-reference Image Quality Assessment, Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), Providence (RI), 2012. [Ye et al.](Accepted)
3.  Document Image Classification and Labeling using Multiple Instance Learning. Intl. Conf. on Document Analysis and Recognition (ICDAR), Beijing, 2011.[Kumar et al.] (Oral)
4. Fast Rule-line Removal using Integral Images and Support Vector Machines. Intl. Conf. on Document Analysis and Recognition (ICDAR), Beijing, 2011. [Kumar et al.](Oral)
5. Segmentation of Handwritten Textlines in Presence of Touching Components,  Intl. Conf. on Document Analysis and Recognition (ICDAR), Beijing, 2011. [Kumar et al.]
6. Shape Codebook based Handwritten and Machine Printed Text Zone Extraction. Document Recognition and Retrieval(DRR), San Francisco, 2011.[Kumar et al.] (Oral)
7. Page Rule-Line Removal using Linear Subspaces in Monochromatic Handwritten Arabic Documents. Intl. Conf. on Document Analysis and Recognition (ICDAR), Barcelona, 2009. [Abd-Almageed et al.]

    Selected Workshops:

1. Handwritten Arabic Text Line Segmentation using Affinity Propagation. Document Analysis Systems (DAS), Boston , 2010. [Kumar et al.](Oral)
2. Font and Background Color Independent Text Binarization . Camera Based Document Analysis and Recognition (CBDAR), Brazil, 2007. [Kasar et al.](Oral)

    Other Conferences:

1. Text Detection in Scene Images using Stroke Width and Nearest-Neighbor Constraints" , IEEE TENCON, Hyderabad, 2008. [Srivastava et al.](Oral)
2. Edge-based Connected-Component Approach for Skew Correction of Complex Document Images", IEEE TENCON, Taiwan,  2007. [Kumar et al.](Oral)
3. Line removal and Restoration of Handwritten strokes , Intl. Conf. on Computational Intelligence and Multimedia Applications (ICCIMA), Sivakasi, 2007 [K.R. et al.](Oral)
4. Entropy based skew correction of document images, Intl. Conf. on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, 2007 [K.R. et al.]

• Computer Vision: Image Understanding, Image Segmentation, Object Recognition
• AI and Learning: Machine Learning, Neural Computation, Computational Linguistics II, Link Mining (Entity Resolution)
• Algorithms: Design and Analysis of Computer Algorithms, Computational Geometry, Scientific Computing I
• Software Engineering: Fundamentals of Software Testing

• My wife's blog on her cooking experiments
• My thoughts on some current methods in vision and learning