Ashok Veeraraghavan's web page

Ashok Veeraraghavan

Research Scientist

Mitsubishi Electric Research Laboratories

Cambridge - MA 02139

veerarag REMOVE_ME AT REMOVE_ME merl DOT com

News

I will be joining the ECE department at Rice University beginning in summer of 2011. I will be setting up a computer vision and computational imaging laboratory at Rice. I am looking for both graduate students and post-doctoral research associates. If you are a prospective graduate student or a post-doctoral researcher, please email me at ashok.veeraraghavan AT gmail DOT com.

Short Bio

I am a Research Scientist at Mitsubishi Electric Research Labs. I received my B.Tech in Electrical Engineering at Indian Institute of Technology, Madras in 2002, MS and PhD in Electrical and Computer Engineering from the University of Maryland, College Park in 2004 and 2008 respectively. My thesis advisor was Prof. Rama Chellappa. My primary research interests are in computational imaging and computer vision.

Featured Projects

Extremely Fast and Robust Chamfer Matching ( Software Download Available )

Coded Strobing Photography: High Speed Video Capture using a Flutter Shutter Camera

Analysis of Images of Specular Surfaces

Complete Publication List

Selected Publications

	Flexible Voxels for Motion-Aware Videography Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan, Srinivasa Narasimhan European Conference on Computer Vision (ECCV), 2010. [PDF] [VideoLowRes] [VideoHighRes] [SlidesWithVideos]
	Image Invariants for Smooth Reflective Surfaces Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit Agrawal European Conference on Computer Vision (ECCV), 2010. [PDF] [Code]
	Increasing Depth Resolution of Electron Microscopy of Neural Circuits using Sparse Tomographic Reconstruction Ashok Veeraraghavan, Alex Genkin, Shivnaga Vitaladevuni, Lou Scheffer, Shan Xu, Harald Hess, Graham Knott and Dmitri Chklovskii. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [PDF]
	Specular Surface Reconstruction from Sparse Reflection Correspondences Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit Agrawal IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [PDF] [Code]
	Fast Directional Chamfer Matching Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [PDF] [Code]
	Axial Light Field for Curved Mirrors: Reflect Your Perspective, Widen Your View Yuichi Taguchi, Amit Agrawal, Srikumar Ramalingam, Ashok Veeraraghavan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [PDF] [Slides]
	Optimal Coded Sampling for Temporal Super-Resolution Amit Agrawal, Mohit Gupta, Ashok Veeraraghavan, Srinivasa Narasimhan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [PDF]
	Robust Relevance Vector Machine Regression [PDF] Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. Robust Regression Using Sparse Learning for High Dimensional Parameter Estimation Problems. Kaushik Mitra, Ashok Veeraraghavan and Rama Chellappa International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010. [PDF]
	Coded Strobing Photography: Compressive Sensing of High-Speed Periodic Events Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar IEEE Transactions on Pattern Analysis and Machine Intelligence ( In Publication Queue ) [PDF] [PPT] [Video]
	Reinterpretable Imager: Towards Variable Post-Capture Space, Angle and Time Resolution in Photography Amit Agrawal, Ashok Veeraraghavan, Ramesh Raskar Eurographics Journal - Computer Graphics Forum ( Proceedings of Eurographics), May 2010 [PDF] Video (avi), Youtube Video, Slides
	Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition Rama Chellappa, Aswin Sankaranarayanan, Ashok Veeraraghavan, Pavan Turaga Foundation and Trends in Signal Processing, vol. 3, (1-2), 2010
	Pose Estimation in Heavy Clutter using Multi-Flash Camera Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit Agrawal, H. Okuda IEEE International Conference on Robotics and Automation (ICRA), 2010. [pdf] [bibtex] [oral presentation slides] [demo]
	Glare Aware Photography: 4D Ray Sampling for Reducing Glare Effects of Camera Lenses Ramesh Raskar, Amit Agrawal, Cyrus Wilson, Ashok Veeraraghavan SIGGRAPH 2008 (ACM Transactions on Graphics) [pdfLowRes] [pdfHighRes] [projectPage]
	Non-refractive modulators for encoding and capturing scene appearance and depth Ashok Veeraraghavan, Amit Agrawal, Ramesh Raskar, Ankit Mohan and Jack Tumblin IEEE CVPR 2008 [pdf]
	Dappled Photography: Mask Enhanced Cameras for Heterodyned Light Fields and Coded Aperture Refocusing Ashok Veeraraghavan, Ramesh Raskar, Amit Agrawal, Ankit Mohan and Jack Tumblin SIGGRAPH 2007 (ACM Transactions on Graphics) [LowResPDF] [HighResPDF]
	Video Clustering and Video Mining a) Unsupervised View and Rate Invariant Clustering of Video Sequences ( Computer Vision and Image Understanding (special issue on Video Analysis), March 2009) b) Statistical Analysis on Stiefel and Grassmann manifolds with applications in computer vision ( IEEE Conference on CVPR 2008 ) c) Mining Videos for Events using a cascade of dynamical systems: From videos to verbs ( IEEE Conference on CVPR 2007 ) d) Pattern Recognition in Videos ( IEEE International Conference on Pattern Recognition and Machine Intelligence(PReMI), 2005 )
	Human Activity Recognition and Gait Based Person Identification a) Rate-invariant recognition of humans and their activities ( IEEE Transactions on Image Processing, 2009 ) b) The Function Space of an Activity ( IEEE Conference on CVPR 2006 ) c) Matching Shape Sequences in Video with an application to Human Movement Analysis ( IEEE Transactions on Pattern Analysis and Machine Intelligence 2005 ) d) Role of Shape and Kinematics in Human Movement Analysis ( IEEE Conference on CVPR 2006 )
	Visual Tracking in Video Sequences ( human, insects, multi-camera ) a) Object Detection, Tracking and Recognition for Multiple Smart Cameras ( The Proceedings of the IEEE, Special Issue on Distributed Smart Cameras 2008 ) b) Shape and Behavior Encoded Tracking of Bee Dances ( IEEE Transactions on Pattern Analysis and Machine Intelligence 2008 ) c) Motion Based Correspondence for 3D Tracking of Multiple Dim Objects ( Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006 (ICASSP)) d) 3D Facial Pose Tracking in Uncalibrated Videos ( IEEE International Conference on Pattern Recognition and Machine Intelligence(PReMI), 2005 )