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Scholarly Interest Report
         
Ashok Veeraraghavan
Associate Professor
Assocaite Professor in Electrical and Computer Engineering
 
e-mail:vashok@rice.edu
 
  • Ph.D. Electrical and Computer Engineering (2008) University of Maryland, College Park, Maryland, USA
  • B.T. Electrical Engineering (2002) Indian Institute of Technology, Madras, Chennai, Tamil Nadu India
  • M.S. Electrical and Computer Engineering (2004) University of Maryland, College Park, Maryland, USA
 
Primary Department
   Department of Electrical and Computer Engineering
Picture
 
Department Affiliations
 
  • Department of Electrical and Computer Engineering
  •  
    Websites
     Personal Webpage
     Google Scholar Citations
     
    Research Areas
     Computational and Coded Imaging; Computer Vision and Vision for Robotics; Computational Scientific Imaging and Microscopy; Computational models for activity perception and recognition
     
    Teaching Areas
     Introduction to Computer Vision; Computational and Scientific Imaging; Digital Signal Processing and Probability Theory; Digital Image Processing, Pattern Recognition and Image Understanding; Pattern Recognition in Video
     
    Selected Publications
     Refereed articles
     

    Adithya Kumar Pediredla ; Shizheng Zhang ; Ben Avants ; Fan Ye ; Shin Nagayama ; Ziying Chen ; Caleb Kemere ; Jacob T. Robinson ; Ashok Veeraraghavan "Deep imaging in scattering media with selective plane illumination microscopy." Journal of Biomedical Optics, 21

     
     

    Jason Holloway, M Salman Asif, Manoj Kumar Sharma, Nathan Matsuda, Roarke Horstmeyer, Oliver Cossairt, Ashok Veeraraghavan "Toward Long-Distance Subdiffraction Imaging Using Coherent Camera Arrays." EEE Transactions on Computational Imaging, 2 (Sept 2016) : 251-265.

     
     

    Mehbuba Tanzid, Nathaniel J. Hogan, Ali Sobhani, Hossein Robatjazi, Adithya K. Pediredla, Adam Samaniego, Ashok Veeraraghavan, and Naomi J. Halas "Absorption-Induced Image Resolution Enhancement in Scattering Media." ACS Photonics, 3 (Sep 2016) : 1787-1793.

     
     

    Qiong Huang, Ashok Veeraraghavan, and Ashutosh Sabharwal "TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets." arXiv

     
     

    Salman Asif, Ali Ayremlou, Aswin Sankaranarayanan, Ashok Veeraraghavan, and Richard Baraniuk "FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation." IEEE Transactions on Computational ImagingSubmitted

     
     
    Ayremlou, A., Goldstein, T., Veeraraghavan, A., & Baraniuk, R. (2014). Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit. arXiv preprint arXiv:1412.0680.
     
     

    Holloway, J., Mitra, K., Koppal, S., & Veeraraghavan, A. (2014). Generalized Assorted Camera Arrays: Robust Cross-channel Registration and Applications. IEEE Trans Image Process. 2015 Mar;24(3):823-35. doi: 10.1109/TIP.2014.2383315. Epub 2014 Dec 18.

     
     

    Ito, A., Tambe, S., Mitra, K., Sankaranarayanan, A. C., & Veeraraghavan, A. (2014). Compressive Epsilon Photography for Post-Capture Control in Digital Imaging. ACM TRANSACTIONS ON GRAPHICS, 33(4).

     
     

    Mitra, K., Cossairt, O. S., & Veeraraghavan, A. (2014). A Framework for Analysis of Computational Imaging Systems: Role of Signal Prior, Sensor Noise and Multiplexing.

     
     

    Mitra, K., Cossairt, O., & Veeraraghavan, A. (2014). Performance Limits for Computational Photography. In Fringe 2013 (pp. 663-670). Springer Berlin Heidelberg.

     
     

    Mitra, K., Veeraraghavan, A., Sankaranarayanan, A. C., & Baraniuk, R. G. (2014). Towards compressive camera networks. IEEE Computer, 47(5).

     
     
    Parameswaran, V., & Veeraraghavan, A. (2014). View and Rate-Invariant Human Action Recognition. In Computer Vision (pp. 850-854). Springer US.
     
     

    Veeraraghavan, A., & Reddy, D. (2014). 10 Compressive video sensing to tackle motion blur. Motion Deblurring: Algorithms and Systems, 207.

     
     

    Kaushik Mitra, Ashok Veeraraghavan and Rama Chellappa, “Analysis of Sparsity-Based Robust Re- gression Algorithms ”, IEEE Transactions on Signal Processing, Accepted for Publication in 2013

     
     

    Kaushik Mitra, Oliver Cossairt and Ashok Veeraraghavan, “Framework for the Analysis of Computa- tional Imaging Systems and its Applications.”, under review for IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013.

     
     Articles
     

    R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan and M. B. Wakin, "Compressive Video Sensing: Algorithms, architectures, and applications," in IEEE Signal Processing Magazine, vol. 34, no. 1, pp. 52-66, Jan. 2017.

     
     

    Andreas Velten, ThomasWillwacher, Otkrist Gupta, Ashok Veeraraghavan, M.G. Bawendi and Ramesh Raskar, “Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging”, Nature communications, March 2012.

     
     

    Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Yuichi Taguchi, Tim K. Marks, Rama Chellappa “Fast object localization and pose estimation in heavy clutter for robotic bin picking”, in IEEE International Journal of Robotics Research, May 2012.

     
     

    Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivas Narasimhan. “A Practical Approach to 3D Scanning in the Presence of Interreflections, Subsurface Scattering and Defocus”, in International Journal on Computer Vision (IJCV), July 2012.

     
     

    Ashok Veeraraghavan, Dikpal Reddy and Ramesh Raskar, “Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Apr 2011

     
     

    Mahesh Ramachandran, Ashok Veeraraghavan and Rama Chellappa, “A Fast Bilinear Structure from Motion Algorithm using a Video Sequence and Inertial Sensors”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Jan 2011.

     
     

    Pavan Turaga, Ashok Veeraraghavan, Anuj Srivastava and Rama Chellappa, “Statistical Computations on Special Manifolds for Image and Video-Based Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Oct 2011.

     
     

    Amit Agrawal, Ashok Veeraraghavan and Ramesh Raskar, “Reinterpretable Imager: Towards Variable Post Capture Space, Angle and Time Resolution in Photography” in Eurographics Journal - Computer Graphics Forum ( Proceedings of Eurographics), May 2010.

     
     

    Yuichi Taguchi, Amit Agrawal, Ashok Veeraraghavan, Srikumar Ramalingam and Ramesh Raskar, “Axial-Cones: Modeling Spherical Catadioptric Cameras for Wide-Angle Light Field Rendering” in ACM Transactions on Graphics (Proceedings of SIGGRAPHASIA) Dec 2010.

     
     

    Ashok Veeraraghavan, Anuj Srivastava and Rama Chellappa. “Rate-invariant recognition of humans and their activities”, IEEE Transactions on Image Processing, June 2009

     
     

    Pavan Turaga, Ashok Veeraraghavan and Rama Chellappa. “Unsupervised View and Rate Invariant Clustering of Video Sequences”, in Computer Vision and Image Understanding (special issue on Video Analysis), March 2009.

     
     

    Rama Chellappa, Aswin Sankaranarayanan, Ashok Veeraraghavan, and Pavan Turaga, “Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition”, Foundations and Trends in Signal Processing, Vol 3, 2009.

     
     

    Ashok Veeraghavan, Rama Chellappa and Mandyam Srinivasan. “Shape and Behavior Encoded Tracking of Bee Dances”. in IEEE Transactions on Pattern Analysis and Machine intelligence (PAMI), March 2008.

     
     

    Rama Chellappa, Aswin C. Sankaranarayanan and Ashok Veeraraghavan. “Object Detection, Tracking and Recognition for Multiple Smart Cameras”, in the Proceedings of the IEEE - Special Issue on Distributed Smart Cameras - Oct 2008.

     
     

    Ramesh Raskar, Amit Agrawal, Cyrus Wilson and Ashok Veeraraghavan. “Glare Aware Photography: 4D Ray Sampling for Reducing Glare Effects of Camera Lenses” in ACM Transactions on Graphics (Proceedings of SIGGRAPH) Aug 2008.

     
     

    Ashok Veeraraghavan, Ramesh Raskar, Amit Agrawal, Ankit Mohan, Jack Tumblin. “Dappled Photography: Mask Enhanced Cameras For Heterodyned Light Fields and Coded Aperture Refocussing” in ACM Transactions on Graphics (Proceedings of SIGGRAPH) Aug 2007.

     
     

    Ashok Veeraraghavan, Amit Roy Chowdhury and Rama Chellappa. “Matching Shape Sequences in Video with an application to Human Movement Analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Dec 2005.

     
     Book chapters
     

    Ashutosh Sabharwal, Ashok Veeraraghavan "calable Medical Devices: Personal and Social." Healthcare Engineering; Proceedings of CAETS 2015 Convocation on Pathways to Sustainability (Dec 2016) : 9-14.

     
     

    Reddy, D., & Veeraraghavan, A. (2014). Lens Flare and Lens Glare. Computer Vision: A Reference Guide, 445-447.

     
     

    Pavan Turaga, Ashok Veeraraghavan, Anuj Srivastava, and Rama Chellappa, “Statistical Analysis on Manifolds and its applications to Video Analysis”, in Video Search and Mining, Studies in Computational Intelligence, Springer-Verlag 2010.

     
     

    Rama Chellappa, Ashok Veeraraghavan and Aswin Sankaranarayanan, “Knowledge Extraction from Surveillance Sensors”,Wiley Handbook on Science and Technology for Homeland Security, Apr 2010.

     
     

    Rama Chellappa, Ashok Veeraraghavan and Narayanan Ramanathan, “Overview of gait biometrics”, Encyclopedia of Biometrics, Li, Stan Z. (Ed.), Springer 2009.

     
     

    Mahesh Ramachandran, Ashok Veeraraghavan, and Rama Chellappa. “Video Stabilization and Mosaicing”, The Essential Guide to Video Processing, A. Bovik (Ed.), Elsevier Inc., 2008

     
     

    Rama Chellappa, Sridhar Srinivasan, Gaurav Aggarwal and Ashok Veeraraghavan. “Image Sequence Stabilization, Mosaicking and Super-Resolution.” Handbook of Image and Video Processing, 2nd Edition, A. Bovik (Ed.), Academic Press, 2005.

     
     Refereed conference papers
     

    Adithya Kumar Pediredla, Shizheng Zhang, Ben Avants, Fan Ye, Shin Nagayama, Ziying Chen, Caleb Kemere, Jacob Robinson, Ashok Veeraraghavan, "Deep Imaging in Scattering Media with Single Photon Selective Plane Illumination Microscopy (SPIM)", arXiv.

     
     

    Amit Agrawal, Richard Baraniuk, Paolo Favaro, Ashok Veeraraghavan, "Signal Processing for computational Photography and Displays", IEEE Signal Processing Magazine, 2016.

     
     

    C. Y. Tsai, A. Veeraraghavan and A. C. Sankaranarayanan "Shape and reflectance from two-bounce light transients." 2016 IEEE International Conference on Computational Photography (ICCP)

     
     

    Huaijin Chen, Suren Jayasuriya, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan, Alyosha Molnar, "ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

     
     

    M. Kumar, J. Suliburk, A. Veeraraghavan and A. Sabharwal "PulseCam: High-resolution blood perfusion imaging using a camera and a pulse oximeter." 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): 3904-3909.

     
     

    Mehbuba Tanzid, Ali Sobhani, Christopher J DeSantis, Yao Cui, Nathaniel J Hogan, Adam Samaniego, Ashok Veeraraghavan, Naomi J Halas, "Imaging through plasmonic nanoparticles", Proceedings of the National Academy of Sciences, 2016.

     
     

    R. Tadano, A. K. Pediredla, K. Mitra and A. Veeraraghavan, "Spatial Phase-Sweep: Increasing temporal resolution of transient imaging using a light source array," 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016, pp. 1564-1568.

     
     

    S. Honnungar, J. Holloway, A. K. Pediredla, A. Veeraraghavan and K. Mitra "Focal-sweep for large aperture time-of-flight cameras." 2016 IEEE International Conference on Image Processing (ICIP): 953-957.

     
     

    Sagar Honnungar, Jason Holloway, Adithya Kumar Pediredla, Ashok Veeraraghavan, Kaushik Mitra, "Focal-sweep for large aperture time-of-flight cameras", IEEE International Conference on Image Processing (ICIP), 2016.

     
     

    Souptik Barua, Yoshitaka Miyatani, Ashok Veeraraghavan, "Direct face detection and video reconstruction from event cameras", accepted for IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

     
     

    Vivek Boominathan, Jesse K Adams, M Salman Asif, Benjamin W Avants, Jacob T Robinson, Richard G Baraniuk, Aswin C Sankaranarayanan, Ashok Veeraraghavan, "Lensless Imaging: A computational renaissance", IEEE Signal Processing Magazine, 2016.

     
     

    Huaijin Chen, M. Salman Asif, Aswin C. Sankaranarayanan, and Ashok Veeraraghavan "FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared." 2015 Computer Vision and Pattern Recognition (CVPR) Conference (June 2015)

     
     

    Mayank Kumar, Ashok Veeraraghavan, and Ashutosh Sabharwal "DistancePPG: Robust non-contact vital signs monitoring using a camera." Biomedical Optics Express

     
     

    Ryuichi Tadano, Adithya Pediredla, and Ashok Veeraraghavan "Depth Selective Camera: A Direct, On-chip, Programmable Technique for Depth Selectivity in Photography." International Conference on Computer Vision (ICCV)

     
     

    Souptik Barua, Kaushik Mitra, Ashok Veeraraghavan "Saliency guided Wavelet compression for low-bitrate Image and Video coding." IEEE Global Conference on Signal and Information Processing (GlobalSIP),

     
     

    Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, and Ashok Veeraraghavan "Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging." International Conference on 3D Vision,

     
     

    Boominathan, V., Mitra, K., & Veeraraghavan, A. (2014, May). Improving resolution and depth-of-field of light field cameras using a hybrid imaging system. In Computational Photography (ICCP), 2014 IEEE International Conference on (pp. 1-10). IEEE.

     
     

    Holloway, J., Priya, T., Veeraraghavan, A., & Prasad, S. (2014). Image classification in natural scenes: Are a few selective spectral channels sufficient?. ICIP.

     
     

    Mitra, K., Cossairt, O., & Veeraraghavan, A. (2014, May). Can we beat Hadamard multiplexing? Data driven design and analysis for computational imaging systems. In Computational Photography (ICCP), 2014 IEEE International Conference on (pp. 1-9). IEEE.

     
     

    Mitra, K., Cossairt, O., & Veeraraghavan, A. (2014, March). To denoise or deblur: parameter optimization for imaging systems. In IS&T/SPIE Electronic Imaging (pp. 90230G-90230G). International Society for Optics and Photonics.

     
     

    Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivas Narasimhan. “A Practical Approach to 3D Scanning in the Presence of Interreflections, Subsurface Scattering and Defocus”, in International Journal on Computer Vision (IJCV), 2013

     
     

    Salil Tambe, Amit Agrawal and Ashok Veeraraghavan. “Towards Motion-Aware Light Field Video for Dynamic Scenes”, at IEEE International Conference on Computer Vision (ICCV), 2013.

     
     

    Jason Holloway, Aswin Sankaranarayanan, Salil Tambe and Ashok Veeraraghavan. “FSVC: Flutter Shutter Video Camera for Compressive Sensing of Videos ”,in IEEE International Conference on Computational Photography (ICCP), 2012.

     
     

    Dikpal Reddy, Ashok Veeraraghavan and Rama Chellappa. “P2C2: Programmable Pixel Compressive Camera for High Speed Imaging”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

     
     

    Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivas Narasimhan. “Structured Light 3D Scanning Under Global Illumination”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

     
     

    Nitesh Shroff, Yuichi Taguchi, Oncel Tuzel, Ashok Veeraraghavan, Srikumar Ramalingam, Haruhisa Okuda. “Finding Needle In A Specular Haystack”, in IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, May 2011.

     
     

    Ashok Veeraraghavan, Alex Genkin, Shivnaga Vitaladevuni, Lou Scheffer, Shan Xu, Harald Hess, Graham Knott and Dmitri Chklovskii. “Increasing Depth Resolution of Electron Microscopy of Neural Circuits using Sparse Tomographic Reconstruction”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel and Amit Agrawal. “Image Invariants for Smooth Reflective Surfaces”, in European Conference on Computer Vision (ECCV), 2010.

     
     

    Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel and Amit Agrawal. “Specular Surface Reconstruction from Sparse Reflection Correspondences”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Kaushik Mitra, Ashok Veeraraghavan and Rama Chellappa. “Robust Regression using Sparse Learning for High Dimensional Parameter Estimation Problems”, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, May 2010 (ICASSP).

     
     

    Kaushik Mitra, Ashok Veeraraghavan and Rama Chellappa. “Robust Relevance Vector Machine Regression”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan and Rama Chellappa. “Sublinear Time Directional Chamfer Matching”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivas Narasimhan. “Flexible Voxels for Content-Aware Videography”, in European Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivas Narasimhan. “Optimal Coded Sampling for Temporal Super-Resolution”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Yuichi Taguchi, Amit Agrawal, Srikumar Ramalingam and Ashok Veeraraghavan. “Lightfield Analysis of Curved Mirrors: Reflect Your Perspective, Widen Your View”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

     
     

    Ashok Veeraraghavan, Ramesh Raskar, Amit Agrawal, Rama Chellappa, Ankit Mohan and Jack Tumblin. “Non-refractive modulators for encoding and capturing scene appearance and depth”, in the Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

     
     

    Ashok Veeraraghavan, Mahesh Ramachandran and Manohar Mareboyana. “Homography based multivideo coding for a network of cameras”, in Proceedings of the IEEE International Conference on Image Processing (ICIP) 2008.

     
     

    Pavan Turaga, Ashok Veeraraghavan and Rama Chellappa. “Recognizing Humans and their Activities using Statistical Analysis on Stiefel and Grassmann manifold”, Snowbird Learning Workshop, Apr 2008.

     
     

    Rama Chellappa, Aswin Sankaranarayanan and Ashok Veeraraghavan. “Mixed state models for automatic target recognition and behavior analysis in video sequences”, SPIE XVIII Conference on Automatic Target Recognition, FL, Mar 2008.

     
     

    Ashok Veeraraghavan, Ramesh Raskar, Amit Agrawal, Ankit Mohan and Jack Tumblin. “Non-Refractive Modulators for Coding and Capturing Scene Appearance”, University of Maryland, UMIACS Tech Report UMIACS-TR-2007-21.

     
     

    Mahesh Ramachandran, Ashok Veeraraghavan and Rama Chellappa. “Fast Bilinear SFM with side information”, in the Proceedings of IEEE International Conference on Computer Vision (ICCV), Oct 2007.

     
     

    Ashok Veeraraghavan, Mandyam Srinivasan, Rama Chellappa, Emily Baird and Richard Lamont. “Motion Based Correspondence for 3D Tracking of Multiple Dim Objects”, In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006 (ICASSP).

     
     

    Ashok Veeraraghavan, Rama Chellappa and Amit K. Roy-Chowdhury. “The Function Space of an Activity” , in the Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2006.

     
     

    Ashok Veeraraghavan, Rama Chellappa and Amit K.Roy-Chowdhury. “Learning the function space of an Activity”, Snowbird Learning Workshop Apr 2006.

     
     

    Sankalita Saha, Chung-Ching Shen, Chia-Jui Hsu, Gaurav Aggarwal, Ashok Veeraraghavan, Alan
    Sussman, Shuvra S. Bhattacharyya, “Model-Based OpenMP Implementation of a 3D Facial Pose
    Tracking System”. ICPP Workshops 2006: 66-73.

     
     

    Ashok Veeraraghavan and Rama Chellappa. “Tracking Bees in a hive.” Snowbird Learning Workshop 2005. (Invited Paper)

     
     

    Gaurav Aggarwal, Ashok Veeraraghavan and Rama Chellappa. “3D Facial Pose Tracking in Uncalibrated Videos”. International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2005. Published in Lecture Notes in Computer Science, Volume 3776, Dec 2005, Pages 515-520.

     
     

    Rama Chellappa, Ashok Veeraraghavan and Gaurav Aggarwal. “Pattern Recognition in Video”. Invited paper in International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2005. Published in Lecture Notes in Computer Science, Volume 3776, Dec 2005, Pages 11-20.

     
     

    Ashok Veeraraghavan, Amit Roy Chowdhury and Rama Chellappa. “Role of Shape and Kinematics in Human Movement Analysis”, in the Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2004.

     
     Conference papers
     

    Kaushik Mitra and Ashok Veeraraghavan. “Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior”, in IEEE International Conference on Computer Vision and Pattern Recognition Workshop on Computational Cameras and Displays, June,
    2012.

     
     

    Kshitij Marwah, Ashok Veeraraghavan and Ramesh Raskar. “Analysis of Linear Non-Adaptive Projective Visual Signal Sampling”, Computational Optical Sensing and Imaging, June, 2012.

     
     Other
     

    Nitesh Shroff, Ashok Veeraraghavan, Oncel Tuzel, Yuichi Taguchi and Amit Agrawal. “Variable focus video: Reconstructing depth and video for dynamic scenes”, in IEEE International Conference on Computational Photography (ICCP), 2012.

     
     

    Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan and Rama Chellappa. “Pose Estimation in Heavy Clutter using Multi-Flash Camera”, in the Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2010.

     
     

    Pavan Turaga, Ashok Veeraraghavan and Rama Chellappa. “Statistical Analysis on Stiefel and Grassmann manifolds with applications in computer vision”, in the Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

     
     

    Pavan Turaga, Ashok Veeraraghavan and Rama Chellappa. “From Videos to Verbs: Mining Videos for Events using a cascade of dynamical systems”, in the Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.

     
    Presentations
     Invited Talks
     

    Nokia Research Labs, Bangalore India. Summer 2013 - ’Mobile Computational Photography’

     
     

    Texas Instruments, Dallas. Fall 2012 - ’3D Imaging and Applications’

     
     

    Qualcomm, San Diego, CA. Fall 2012 - ’Computational and Coded Aperture Imaging’

     
     

    Samsung Telecommunications, Dallas, TX. Spring 2012 - ’Computational and Light Field Imaging’

     
     

    Samsung Telecommunications, Dallas, TX. Fall 2012 - ’Mobile Computational Photography’

     
     Other
     

    DEMO - Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivas Narasimhan. “Structured Light 3D Scanning Under Global Illumination”, Demo at IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

     
     

    DEMO - Yuichi Taguchi, Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Amit Agrawal, Tim K. Marks, Srikumar Ramalingam, Nitesh Shroff, Ramesh Raskar, John Barnwell, Jay Thornton, and Keisuke Kojima. “A Practical and Robust System for Object Detection and Pose Estimation in Heavy Clutter using Active Illumination”, Demo at IEEE Conf. Computer Vision and Pattern Recognition (CVPR 2010), June 2010.

     
     

    TALK - JFRC conference ”What can Computer Vision do for Neuroscience and Vice Versa?” (Fall 2008) - ’Computational Imaging and Light-Field Capture’

     
     

    TALK - University of Maryland (2008 Distinguished Dissertation Lecture) - ’Coded Computational Imaging and Shape Dynamical Models for Activity Recognition’

     
     

    TALK - Toyota Technological Institute - Chicago (Fall 2008) - ’Coded Computational Imaging’

     
     

    TALK - MERL (Summer 2008) - ’Light-Field and Reflectance-Field capture’

     
     

    TALK - Sarnoff Corporation (Summer 2008) - ’Tracking and Activity Recognition’

     
     

    TALK - Janelia Farms Research Campus HHMI (Summer 2008) - ’Coded and Computational Imaging’

     
     

    TALK - Columbia University (Fall 2008)- ’Computational Imaging via coded apertures and heterodyning’

     
     

    TALK - ACM SIGGRAPH 2007 - ’Dappled Photography- Mask Enhanced Cameras for Coded Aperture and Light field heterodyning’

     
     

    TALK - IEEE CVPR 2006 - ’Function Space of Activities - Learning the space of time warping functions for Activity Recognition’

     
     

    TALK - Snowbird Learning Workshop 2005 - ’Simultaneous Tracking and Behaviour Analysis of Bee Dances’

     
     

    TALK - Australian National University: Research School of Biological Sciences - ’Multiple Camera based Simulateneous Tracking and Behavior Analysis’

     
     Seminar Speaker
     

    International Conference on Computer Vision and Pattern Recognition, Providence, RI. Summer 2012 - ’A GMM based prior for light-field processing’

     
     Workshops
     

    CVPR Workshop on Computational Cameras and Displays. Summer 2013 - ’Performance Analysis of Computational imaging’

     
     

    ’Differential Geometric Methods for Shape Analysis and Activity Recognition’ - Tutorial in IEEE International Conference on Computer Vision and Pattern Recognition, 2012

     
     

    ’Compressive Video Sensing’ - Tutorial in IEEE International Conference on Computer Vision and Pattern Recognition, 2012

     
    Supervised Theses & Dissertations
     Souptik Barua, MS Rethinking Image Compression for the Object Detection task. (2015) (Thesis Director)

     Ye Zhang, MS Robust Privacy-Preserving Fingerprint Authentication. (2015) (Thesis Committee Member)

     Dalu Yang, MS Characterizing and Predicting Molecular Signatures in Glioblastoma using Magnetic Resonance Imaging-derived Phenotypic Traits. (2015) (Thesis Committee Member)

     Qiong Huang, MS TabletGaze: Dataset and Algorithm for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets. (2015) (Thesis Committee Member)

     Shizheng Zhang, MS Depth Limit of Imaging through Scattering Media using Selective Plane of Illumination Microscopy (SPIM). (2015) (Thesis Director)

     Lantao Yu, MS Determining Accurate Locations of Edges in Natural Images: A Phase-Based, Nonparametric Framework. (Thesis Committee Member)

     Huaijin (George) Chen, MS Efficient Machine Vision using Computational Cameras. (Thesis Director)

     Jian Cao, MS Portable forced oscillation device for point-of-care pulmonary function testing. (Thesis Committee Member)

     Andrew Lim, PhD Machine Learning Techniques for Personalized Learning. (Thesis Committee Member)

     Kevin Boos, MS Bringing Immersive Virtual Reality to Weak Mobile Devices via Rendering Memoization. (Thesis Committee Member)

     Raajen Patel, MS oASIS: Adaptive Column Sampling for Kernel Matrix Approximation. (Thesis Committee Member)

     Robert LiKamWa, PhD Rethinking the Vision Sensing Pipeline for Efficiency and Privacy. (Thesis Committee Member)

     Robert LiKamWa, PhD Rethinking the Vision Sensing Pipeline for Energy Efficiency. (Thesis Committee Member)

     Vivek Boominathan, MS Improving Light Field Capture Using Hybrid Imaging. (Thesis Director)

     Jason Holloway, PhD Synthetic Apertures for Visible Imaging Using Fourier Ptychography. (Thesis Director)

     Qingyue Liu, MS Ouroboros Wear-leveling: A Two-level Hierarchical Wear-Leveling Model for NVM. (Thesis Committee Member)

     Dalu Yang, MS Identifying and Predicting Molecular Signatures in Glioblastoma using Imaging-Derived Phenotypic Traits. (Thesis Co-Director)

     Wenxiao Wang, MS Enhanced super-resolution microscopy by phase modulation. (Thesis Committee Member)

    Awards, Prizes, & Fellowships
     MERL Director’s Award, Mitsubishi Electric Research Labs (2009)

     Distinguished Dissertation Fellow, University of Maryland (2007)

    Positions Held
     Research Scientist - Imaging Group, Mitsubishi Electric Research Labs, Cambridge, USA. (2011 - 2011)

     Research Intern - Computational Photography, Mitsubishi Electric Research Labs, Boston, USA. (2007 - 2007)

     Undergraduate Research Assistant - Signal Processing: Fractional Fourier Transform, Indian Institute of Technology Madras, Chennai, TamilNadu India. (2002 - 2002)

     Graduate Research Assistant - Shape and Dynamical Models for Activity Recognition, University of Maryland, College Park, Maryland USA. (2008 - 2008)

     Summer Intern - Speech Communication over analog channels, Center For Artificial Intelligence and Robotics, Bangalore, Karnataka India. (2001 - 2001)

     Visiting Researcher - Automated Tracking and Analysis of Insect Behaviors, Australian National University, Canberra, Australia. (2005 - 2005)