Source: http://www.public.asu.edu/~pturaga/PublicationList.html
Timestamp: 2019-04-25 02:24:08+00:00

Document:
Pavan Turaga, Anuj Srivastava, ``Riemannian Computing in Computer Vision'', edited volume, Springer, Jan 2016. (Link).
Jayaraman J. Thiagarajan, Karthikeyan N. Ramamurthy, Pavan Turaga, and Andreas Spanias, “Image Understanding using Sparse Representations”, Synthesis Lectures on Image, Video, and Multimedia Processing, April 2014, Morgan and Claypool Publishers. (Link).
R. Chellappa, A. Sankaranarayanan, A. Veeraraghavan, and P. Turaga, “Statistical Methods and Models for Applications in Computer Vision”, in Foundations and Trends in Signal Processing, vol. 3, no. 1-2, pp. 1-151, 2009.(Link).
Kuldeep Kulkarni, Pavan Turaga, Anuj Srivastava, Rama Chellappa, ``Pattern Recognition'', Wiley Encyclopedia on Electrical and Electronics Engineering (accepted).
Rushil Anirudh, Pavan Turaga, Anuj Srivastava, ``Optimization problems associated with manifold-valued curves with applications in computer vision'', chapter in edited volume on Convex Optimization. Ed: Vishal Monga, 2018.
P. Turaga, R. Chellappa, “Feature Selection”, Computer Vision: A Reference Guide, Springer Reference 2014.
P. Turaga, R. Chellappa, and A. Srivastava, “Statistical Methods on Special Manifolds for Image and Video Understanding”, in Elsevier Handbook of Statistics, vol. 31, Eds: C. R. Rao, and V. Govindaraju, July 2013.
R. Chellappa, M. Du, P. Turaga, S. K Zhou, “Face Tracking and Recognition from Video”, in Handbook of Face Recognition 2nd Edition, Eds: Stan Li, Anil Jain, Springer 2011.
R. Chellappa, and P. Turaga, “Advances in Video-based Biometrics”, in Advances in Computers, Elsevier, vol. 83, 2011.
P. Turaga, R. Chellappa, and A. Veeraraghavan, “Advances in Video-based Human Activity Analysis”, in Advances in Computers, Elsevier, vol. 80, July 2010.
P. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa, “Statistical Analysis on Manifolds and its applications to Video Analysis”, in Video Search and Mining, Studies in Computational Intelligence, Springer-Verlag 2010.
M. Albanese, P. Turaga, R. Chellappa, A. Pugliese, V. S. Subrahmanian, “Semantic Video Content Analysis”, in Video Search and Mining, Studies in Computational Intelligence, Springer-Verlag 2010.
R. Chellappa, M. Bicego and P. Turaga, “A Review of Video-Based Face Recognition Algorithms”. in Handbook of Remote Biometrics, Springer, June 2009.
R. Chellappa, N. P. Cuntoor, S. W. Joo, V. S. Subrahmanian and P. Turaga, “Computational Vision Approaches to Event Modeling”. in Understanding Events: How Humans See, Represent, and Act on Events, T. F. Shipley and J. Zacks eds. Oxford University Press, January 2008.
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Amit Ashok, Pavan Turaga, ``Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images'', at the IEEE Transactions on Computational Imaging (TCI) March 2018.
Stefano Berretti, Mohamed Daoudi, Pavan Turaga, and Anup Basu. 2018. ``Representation, Analysis, and Recognition of 3D Humans: A Survey'' ACM Trans. Multimedia Comput. Commun. Appl. (March 2018).
Michael Baran, Nicole Lehrer, Margaret Duff, Vinay Venkataraman, Pavan Turaga, Todd Ingalls, Zev Rymer, Steven L. Wolf, and Thanassis Rikakis, ``Interdisciplinary Concepts for Design and Implementation of Mixed Reality Interactive Neurorehabilitation Systems for Stroke'', accepted at American Physical Therapy Association's Physical Therapy Journal (APTA-PTJ), vol. 95, no. 3, Mar 2015.
R. Li, P. Turaga, A. Srivastava, R. Chellappa, “Differential Geometric Representations and Algorithms for Some Pattern Recognition and Computer Vision Problems”, Elsevier Pattern Recognition Letters, vol. 43, July 2014.
T. Wu, P. Turaga, R. Chellappa, “Age Estimation and Face Verification across Aging using Landmarks”, at IEEE Transactions on Information Forensics and Security, Dec 2012.
R. Gopalan, S. Taheri, P. Turaga, R. Chellappa, “A Blur-robust Descriptor with applications to Face Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2012.
A. Srivastava, P. Turaga, S. Kurtek, “On Advances in Differential-Geometric Approaches for 2D and 3D Shape Analysis and Activity Recognition”, Elsevier Image and Vision Computing, June 2012.
P. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa, “Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video based Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov 2011. ([pdf]). Errata: Note correction to the paper in the linked pdf regarding INRIA Ixmas experiment.
N. Shroff, P. Turaga, and R. Chellappa, “Video Precis: Highlighting Diverse Aspects of Videos”, at IEEE Transactions on Multimedia, Dec 2010. ([pdf]).
P. Turaga and Y. Ivanov, “Diamond Sentry: Integrating Cameras and Sensors for Real-Time Monitoring of Indoor Spaces”, accepted at IEEE Sensors Journal, Special Issue on Cognitive Sensor Networks, 2010. ([pdf]).
A. Sankaranarayanan, R. Patro, P. Turaga, A. Varshney, and R. Chellappa, “Modelling and Visualizing Human Activities for Multi-Camera Networks”, in EURASIP Journal on Image and Video Processing, 2009. ([pdf]).
P. Turaga, A. Veeraraghavan and R. Chellappa, “Unsupervised View and Rate Invariant Clustering of Video Sequences”, in Computer Vision and Image Understanding (special issue on Video Analysis), March 2009. ([pdf]).
P. Turaga, R. Chellappa, V. S. Subrahmanian and O. Udrea, “Machine Recognition of Human Activities: A Survey”, in IEEE Transactions on Circuits and Systems for Video Technology, October 2008. ([pdf]).
M. Albanese, V. Moscato, R. Chellappa, A. Picariello, V. S. Subrahmanian, P. Turaga and O. Udrea, “A Constrained Probabilistic Petri-Net Framework for Human Activity Detection in Video”, in IEEE Transactions on Multimedia, December 2008. ([pdf]).
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga, ``Perturbation Robust Representations of Topological Persistence Diagrams'', European Conference on Computer Vision (ECCV) (7) 2018: 638-659.
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga, ``CS-VQA: Visual Question Answering with Compressively Sensed Images'', IEEE Intl. Conference on Image Processing (ICIP) 2018: 1283-1287.
Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, ``Fast Non-Linear Methods for Dynamic Texture Prediction'', IEEE Intl. Conference on Image Processing (ICIP) 2018: 2107-2111.
Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava, ``Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data'', 4th Intl. Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML), held in conjunction with IEEE CVPR 2018: 349-357.
``Predicting Dynamical Evolution of Human Activities From a Single Image'', 4th Intl. Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML), held in conjunction with IEEE CVPR 2018: 383-392.
Suhas Lohit, Pavan K. Turaga, ``Learning Invariant Riemannian Geometric Representations Using Deep Nets'', Workshop on Manifold Learning: From Euclid to Riemann, held in conjunction with ICCV 2017: 1329-1338.
V. Venkataraman, K. N. Ramamurthy and P. Turaga, "Persistent homology of attractors for action recognition," IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 4150-4154.
Suhas Lohit, Kuldeep Kulkarni and Pavan Turaga, "Direct inference on compressive measurements using convolutional neural networks," IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016, pp. 1913-1917.
R. Anirudh, A. Masroor and P. Turaga, "Diversity promoting online sampling for streaming video summarization," IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 3329-3333.
Varsha Iyengar, Grisha Coleman, David Tinapple, Pavan Turaga, ``Motion, Captured: an Open Repository for Comparative Movement Studies'', Proceedings of the 3rd International Symposium on Movement and Computing (MOCO) 2016.
Henghao Zhao, Qiao Wang, Todd Ingalls, Grisha Coleman, Pavan Turaga, ``A Home-based system for postural symmetry assessment and training'', at the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2016.
Qiao Wang, Suhas Lohit, Meynard Toledo, Matthew P. Buman, Pavan Turaga, ``A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer'', at the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2016.
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan Turaga, ``Attractor-Shape Descriptors for Balance Impairment Assessment in Parkinson's Disease'', at the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2016.
Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan Turaga, ``Riemannian Geometric Approaches for Measuring Movement Quality'', at the Second International Workshop on Differential Geometry in Computer Vision and Machine Learning (Diff-CVML) held in conjunction with CVPR 2016.
Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan Turaga, ``A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams'', at the Second International Workshop on Differential Geometry in Computer Vision and Machine Learning (Diff-CVML) held in conjunction with CVPR 2016.
K. Kulkarni, S. Lohit, Pavan Turaga, R. Kerviche, Amit Ashok, “ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements”, at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Vinay Venkataraman, Jonathan Lenchner, Shari Trewin, Maryam Ashoori, Shang Guo, Mishal Dholakia, Pavan Turaga, ``Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms'', Workshop on Symbiotic Cognitive Systems in conjunction with AAAI 2016.
Michael Krzyzaniak, Rushil Anirudh, Vinay Venkataraman, Pavan Turaga and Xin Wei Sha, ``Towards Realtime Measurement of Connectedness in Human Movement'', in 2nd International Workshop on Movement and Computing (MOCO), August 2015.
H. C. Braun, P. Turaga, C. Tepedelenlioglu, A. S. Spanias, “Optical Flow for Compressive Sensing Video Reconstruction”, at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013.
S. Taheri, P. Turaga, and R. Chellappa, “Towards View-Invariant Expression Analysis using Analytic Shape Manifolds”, at IEEE Face and Gesture (FG) 2011.
R. Chellappa, and P. Turaga, “Recent Advances in Age and Height Estimation from Still Images and Video”, Invited paper at IEEE Face and Gesture (FG) 2011.
N. Shroff, P. Turaga, R. Chellappa, “Manifold Precis: An annealing method for selecting the best citizens on manifolds”, Neural Information Processing Systems (NIPS), Dec 2011.
P. K. Turaga, G. Singh and P. K. Bora, “Face Tracking using Kalman Filter with Dynamic Noise Statistics”, Proceedings of IEEE TENCON, Chiang Mai, Thailand 2004.

References: V. 
 V. 
 V. 
 V. 
 V. 
 V. 

V.