Vishal M. Patel

Assistant Professor

ECE

Education

Ph.D., Electrical Engineering, University of Maryland, 2010

M.S., Applied Mathematics, North Carolina State University, 2005

B.S., Applied Mathematics (with honors), Summa Cum Laude, North Carolina State University, 2004

B.S., Electrical Engineering, Summa Cum Laude, 2004

Honors

  • ORAU Postdoctoral Fellowship, 2010-2011
  • Distinguished Teaching Assistant Award from the Center for Teaching Excellence, UMD, 2006
  • Phi Beta Kappa
  • Pi Mu Epsilon
  • Eta Kappa Nu

Research Interests

  • Security and privacy: Active authentication, biometrics template protection, biometrics recognition.
  • Computer vision: Domain adaptation, dictionary learning, object recognition, activity recognition, shape representation.
  • Machine learning: Dimensionality reduction, clustering, kernel methods, weakly-supervised learning.
  • Signal/Image processing: Sparse representation, compressive sampling, synthetic aperture radar imaging, millimeter wave imaging.

Selected Publications

  • R. Gopalan, R. Li, V. M. Patel and R. Chellappa, "Domain adaptation for visual recognition," Foundations and Trends on Computer Graphics and Vision, accepted for publication, Mar. 2015.
  • A. Shrivastava, J. K. Pillai, and V. M. Patel, "Multiple kernel-based dictionary learning for weakly supervised classification," Pattern Recognition, accepted for publication, Mar. 2015. (pdf)
  • V. M. Patel, H. V. Nguyen, and R. Vidal, "Latent space sparse and low-rank subspace clustering," IEEE Journal of Selected Topics in Signal Processing: Special Issue on Signal Processing for Big Data, accepted for publication, Jan. 2015. (pdf)
  • Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, "Salient views and view-dependent dictionaries for object recognition," Pattern Recognition: Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition, accepted for publication, Jan. 2015. (pdf)
  • Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, "Ambiguously labeled learning using dictionaries," IEEE Transactions on Information Forensics and Security: Special Issue on Facial Biometrics in the Wild, vol. 9, no. 12, pp. 2076-2088, Dec. 2014.(pdf)
  • V. M. Patel, R. Gopalan, R. Li, and R. Chellappa, "Visual domain adaptation: a survey of recent advances," IEEE Signal Processing Magazine, accepted for publication, July 2014. (pdf)
  • A. Shrivastava, V. M. Patel, and R. Chellappa, "Non-linear dictionary learning with partially labeled data," Pattern Recognition, accepted for publication, July. 2013. (pdf)
  • Q. Qiu, V. M. Patel, and R. Chellappa, "Information-theoretic dictionary learning for image classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 11, pp. 2173-2184, Oct. 2014. (pdf)
  • X. Gibert-Serra, V. M. Patel, D. Labate, and R. Chellappa, "Discrete shearlet transform on GPU with applciations in anomaly detection and denoising," EURASIP Journal on Advances in Signal Processing, vol. 2014, pp. 1-64, May 2014. (pdf)
  • A. Shrivastava, V. M. Patel, and R. Chellappa, "Multiple kernel learning for sparse representation-based classification," IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 3013-3024, July 2014. (pdf)