Utsav Prabhu - Andrew.cmu.edu

Utsav Prabhu
1307 Collaborative Innovation Center
Carnegie Mellon University
4720 Forbes Ave., Pittsburgh PA 15213
www.andrew.cmu.edu/~uprabhu
Email: [email protected]
Cell: (412) 818-2044
OBJECTIVE
Seeking a challenging research position in the fields of Computer Vision, Machine Learning, Pattern
Recognition and Computer Graphics.
EDUCATION
Ph.D. Electrical and Computer Engineering
Carnegie Mellon University, Pittsburgh, PA
Advisor: Prof. Marios Savvides
Thesis: Face Recognition under Acquisition Degradation
2009-current
M.S. Electrical and Computer Engineering
Carnegie Mellon University, Pittsburgh, PA
GPA 3.88/4.0
2008-09
B.E. Electronics and Telecommunications
Goa University, Goa, India
Graduated First Class with Distinction
2002-06
EXPERIENCE
Research Assistant, Cylab Biometrics Center, Carnegie Mellon University
2009-current
Worked on multiple projects related to Face Detection, Alignment, Tracking, Recognition, 2D & 3D
Face Modeling. My research has been featured multiple times in national and international television
and print media, and software that I have written is currently in use by multiple law enforcement
agencies as a lead generation tool for crime scene analysis.
Research Intern, Intel Labs, Hillsboro, OR
Spring 2013
Designed and implemented an end-to-end vision-based system to improve operational efficiency,
logistics management and product availability of a major retail chain.
Research Assistant, AMP Lab., Carnegie Mellon University
Fall 2008
Helped construct a C++ code base for Monocular SLAM, as part of an open source 3D reconstruction
library
Member of Technical Staff, GS Lab, Pune, India
2006-08
Designed and implemented the TCP/IP network stack and multiple network protocols (Mobile IPv6,
NEMO, SEND, UPnP) in C++ for secure and reliable data transmission
TEACHING
Teaching Assistant, 18-794 Pattern Recognition Theory
Teaching Intern, 18-794 Pattern Recognition Theory
Teaching Intern, 18-794 Pattern Recognition Theory
Fall 2012
Fall 2011
Spring 2011
PUBLICATIONS
Utsav Prabhu and Marios Savvides, “Low-Rank Factorization Methods for Large, Incomplete or
Weighted Data Matrices”, Neural Information Processing Systems (NIPS), Dec. 2014 (submitted)
Ramzi Abiantun, Utsav Prabhu, Felix Juefei-Xu and Marios Savvides, “Single Image SuperResolution via Sparse Signal Recovery”, IEEE Transactions on Information Forensics and Security
(TIFS) (submitted)
T. Hoang Ngan Le, Utsav Prabhu and Marios Savvides, “A Novel Eyebrow Segmentation and
Eyebrow Shape-based Identification”, International Joint Conference on Biometrics, Sep. 2014
Ramzi Abiantun, Utsav Prabhu, and Marios Savvides, “Sparse Feature Extraction for PoseTolerant Face Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI) (to appear)
T. Hoang Ngan Le, Khoa Luu, Utsav Prabhu and Marios Savvides, “A Novel Energy-Based Filter
for Cross-Blink Eye Detection”, 2012 IEEE International Conference on Image Processing (ICIP),
Oct. 2012
Utsav Prabhu, Jingu Heo and Marios Savvides, “Unconstrained Pose Invariant Face Recognition
using 3D Generic Elastic Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI), vol.33, no.10, pp.1952-1961, Oct. 2011
Ramzi Abiantun, Utsav Prabhu, Keshav Seshadri, Jingu Heo and Marios Savvides, “An analysis
of facial shape and texture for recognition: A large scale evaluation on FRGC ver2.0”, 2011 IEEE
Workshop on Applications of Computer Vision (WACV), pp.212-219, 5-7 Jan. 2011
Utsav Prabhu, Keshav Seshadri, and Marios Savvides, “Automatic Facial Landmark Tracking in
Video Sequences using Kalman Filter Assisted Active Shape Models”, 3rd Workshop on Human
Motion in conjunction with the European Conference on Computer Vision 2010, Sep. 2010
POSTERS
Utsav Prabhu, Jingu Heo and Marios Savvides, “Off-angle Face Pose Correction Using 3D Generic
Elastic Models”, 2011 CyLab Partners Conference, Sep. 2011
Ramzi Abiantun, Utsav Prabhu, Keshav Seshadri, Jingu Heo and Marios Savvides, “An Analysis
of Facial Shape and Texture for Recognition”, 2010 CyLab Partners Conference, Oct. 2010
Pablo Hennings-Yeomans, Utsav Prabhu, Varun Ramakrishna, N. Shaikh, Alejandro Hoberman
and Jelena Kovacevic, “Dx Ear: An Automated Diagnostic Aid for Otitis Media”, Proceedings of
BMES Annual Fall Meeting, Pittsburgh, PA, Oct. 2009
RECENT RESEARCH PROJECTS
Face Recognition under Acquisition Degradation
Continuous 2D & 3D Deformable Modeling of Faces
3D Pose-Correction of Non-Frontal Face Images
Analysis of Shape vs. Texture for Face Recognition
Pose-Independent 3D Face Recognition
RELEVANT COURSES
Computer Vision
Learning Based Methods in Vision
Statistical Machine Learning
Computer Graphics
Intermediate Statistics
BioImage Informatics
AWARDS
Carnegie Institute Dean’s Fellowship
Goa Scholars Graduate Research Grant
National Talent Search Scholarship
2013-current
2011-12
2011
2010
2010
Graduate Machine Learning
Pattern Recognition Theory
2009-10
2008-09
2000
COMPUTER SKILLS
Proficient in:
MATLAB, C, C++
Familiar with:
Python, Java, HTML, JSP
Software Platforms: OpenCV, OpenGL, CUDA
OTHER ACTIVITIES
Treasurer, Indian Graduate Students Association (IGSA), CMU
Member, CMU Quiz Club
2011
2009-current

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