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Books and Monographs

  1. Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu, ``Reconstruction-Free Compressive Vision for Surveillance Applications'', Synthesis Lectures on Signal Processing, May 2019, 100 pages, (https://doi.org/10.2200/S00914ED2V01Y201904SPR017).
  2. Pavan Turaga, Anuj Srivastava, ``Riemannian Computing in Computer Vision'', edited volume, Springer, Jan 2016. (Link).
  3. 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).
  4. 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).

 Book Chapters

  1. Rama Chellappa, Pavan Turaga, Rushil Anirudh, ``Manifold Learning'', Computer Vision: A Reference Guide, Springer Reference 2019.
  2. Kuldeep Kulkarni, Pavan Turaga, Anuj Srivastava, Rama Chellappa, ``Pattern Recognition'', Wiley Encyclopedia on Electrical and Electronics Engineering, 2019 (https://doi.org/10.1002/047134608X.W5513.pub2).
  3. 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.
  4. P. Turaga, R. Chellappa, “Feature Selection”, Computer Vision: A Reference Guide, Springer Reference 2014.
  5. 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.
  6. 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.
  7. R. Chellappa, and P. Turaga, “Advances in Video-based Biometrics”, in Advances in Computers, Elsevier, vol. 83, 2011.
  8. P. Turaga, R. Chellappa, and A. Veeraraghavan, “Advances in Video-based Human Activity Analysis”, in Advances in Computers, Elsevier, vol. 80, July 2010.
  9. 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.
  10. 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.
  11. R. Chellappa, M. Bicego and P. Turaga, “A Review of Video-Based Face Recognition Algorithms”. in Handbook of Remote Biometrics, Springer, June 2009.
  12. 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.

Journal Papers

  1. 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) Sep 2018.
  2. Stefano Berretti, Mohamed Daoudi, Pavan Turaga, and Anup Basu, ``Representation, Analysis, and Recognition of 3D Humans: A Survey'', ACM Transactions on Multimedia Computing, Communications, and Applications, March 2018.
  3. Rushil Anirudh, Pavan Turaga, Jingyong Su, Anuj Srivastava, ``Elastic Functional Coding of Riemannian Trajectories'', accepted at the IEEE Transactions on Pattern Analysis and Machine Intelligence May 2017. ([pdf])
  4. Aswin Sankaranarayanan, Matthew Herman, Pavan Turaga, Kevin Kelly, “Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter sampling by incorporating domain knowledge”, IEEE Signal Processing Magazine, Sep 2016. ([pdf])
  5. Kuldeep Kulkarni, Pavan Turaga, ``Reconstruction-free action inference from compressive imagers'', at the IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2016. ([pdf])
  6. Vinay Venkataraman, Pavan Turaga, ``Shape Descriptions of Nonlinear Dynamical Systems for Video-based Inference'', accepted at the IEEE Transactions on Pattern Analysis and Machine Intelligence. ([pdf])
  7. R. Anirudh, P. Turaga “Geometry-based Symbolic Approximation for Fast Sequence Matching on Manifolds”, at the International Journal of Computer Vision, January 2016. ([pdf])
  8. Vinay Venkataraman, Pavan Turaga, Michael Baran, Nicole Lehrer, Tingfang Du, Long Cheng, Thanassis Rikakis, and Steven L. Wolf, ``Component-Level Tuning of Kinematic Features from Composite Therapist Impressions of Movement Quality'',  at IEEE Journal on Biomedical and Health Informatics (J-BHI) January 2016.  ([pdf])
  9. 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.
  10. 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.
  11. A. Sankaranarayanan, P. Turaga, R. Chellappa, R. G. Baraniuk, “Compressive Acquisition of Linear Dynamical Systems”, SIAM Journal of Imaging Sciences, vol. 6, issue 4, 2013. ([pdf])
  12. 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.
  13. 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.
  14. 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.
  15. J. Ni, P. Turaga, V. M. Patel, R. Chellappa, “Example-driven Manifold priors for Image Deconvolution”, IEEE Transactions on Image Processing, Nov 2011. ([pdf])
  16. 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.
  17. N. Shroff, P. Turaga, and R. Chellappa, “Video Precis: Highlighting Diverse Aspects of Videos”, at IEEE Transactions on Multimedia, Dec 2010.  ([pdf]).
  18. 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]).
  19. 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]).
  20. 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]).
  21. 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]).
  22. 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]).


Conference Papers

  1. Rajhans Singh, Pavan Turaga, Suren Jayasuriya, Ravi Garg, Martin Braun, ``Non-Parametric Priors For Generative Adversarial Networks'', Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 in PMLR 97:5838-5847.
  2. Suhas Lohit, Qiao Wang, Pavan Turaga, ``Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping'', IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 12426-12435.
  3. Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan and Pavan Turaga, ``Multiple Subspace Alignment Improves Domain Adaptation'', IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 3552-3556.
  4. Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga, ``Geometry of Deep Generative Models for Disentangled Representations'', Indian Conference on Vision, Graphics, and Image Processing (ICVGIP), 2018.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa,
    ``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.
  10. 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.
  11. Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, ``Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity''. IEEE GlobalSIP 2017: 938-942
  12. Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga, ``Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis'', 3rd International Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML), held in conjunction with IEEE CVPR 2017: 709-716
  13. Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga, ``Compressive Light Field Reconstructions Using Deep Learning'', Computational Cameras and Displays Workshop, held in conjunction with IEEE CVPR Workshops 2017: 1277-1286
  14. 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. 
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Vinay Venkataraman, Pavan Turaga, ``Dynamical Regularity for Action Analysis'', at the British Machine Vision Conference, September 2015. ([pdf])
  26. Qiao Wang, Rushil Anirudh, Pavan Turaga, ``Temporal Reflection Symmetry of Human Actions: A Riemannian Analysis'', at the First International Workshop on Differential Geometry in Computer Vision (Diff-CV) held in conjunction with BMVC 2015. ([pdf])
  27. Rushil Anirudh, Vinay Venkataraman, Pavan Turaga, ``A Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds '', at the First International Workshop on Differential Geometry in Computer Vision (Diff-CV) held in conjunction with BMVC 2015. ([pdf])
  28. 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.
  29. Suhas Lohit, Kuldeep Kulkarni, Pavan Turaga, Jian Wang, Aswin Sankaranarayanan, ``Reconstruction-free Inference on Compressive Measurements", in 4th IEEE International Workshop on Computational Cameras and Displays (CCD), held in conjunction with CVPR, June 2015. Best Paper Award ([pdf])
  30. R. Anirudh, P. Turaga, J. Su, A. Srivastava, “Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015. ([pdf])
  31. A. Sivakumar, R. Anirudh, P. Turaga, “Geometric Compression of Orientation Signals for Fast Gesture Analysis”, in IEEE Data Compression Conference (DCC), April 2015. ([pdf])
  32. V. Venkataraman, P. Turaga, N. Lehrer, M. Baran, T. Rikakis, S. L. Wolf, “Decision Support for Stroke Rehabilitation Therapy via Describable Attribute-based Decision Trees”, in International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 2014.([pdf])
  33. Q. Wang, P. Turaga, G. Coleman, T. Ingalls, “SomaTech: An Exploratory Interface for Altering Movement Habits”, in ACM CHI Conference on Human Factors in Computing Systems Extended Abstracts, April 2014.([pdf])
  34. H. C. Braun, P. Turaga, A. S. Spanias, “Direct Tracking from Compressive Imagers: A Proof of Concept”, in IEEE International Conference Acoustics, Speech and Signal Processing (ICASSP), May 2014.  ([pdf])
  35. R. Anirudh, P. Turaga, “Interactively Test-Driving an Object Detector: Estimating Performance on Unlabeled Data”, in IEEE Winter Conference on Computer Vision (WACV), March 2014. ([pdf])
  36. V. Venkataraman, P. Turaga, N. Lehrer, M. Baran, T. Rikakis, S. L. Wolf, “Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition”, in International Workshop on Human Activity Understanding from 3D Data (HAU3D'13, held in conjunction with CVPR 2013), Portland, OR 2013. ([pdf])
  37. R. Anirudh, K. N. Ramamurthy, J. J. Thiagarajan, P. Turaga, A. S. Spanias, “A Heterogenous Dictionary Model for Representation and Recognition of Human Actions”, at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. ([pdf])
  38. 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. 
  39. Q. Qiu, V. M. Patel, P. Turaga, R. Chellappa, “Domain Adaptive Dictionary Learning”, European Conference on Computer Vision (ECCV), 2012.  ([pdf])
  40. K. Kulkarni, P. Turaga, “Recurrence Textures for Human Activity Recognition from Compressive Cameras”, at IEEE International Conference on Image Processing (ICIP) 2012. ([pdf])
  41. S. Taheri, P. Turaga, and R. Chellappa, “Towards View-Invariant Expression Analysis using Analytic Shape Manifolds”, at IEEE Face and Gesture (FG) 2011. 
  42. 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. 
  43. Z. Zhang, E. Klassen, R. Chellappa, P. Turaga, A. Srivastava, “Blurring-Invariant Riemannian Metrics for Comparing Signals and Images”,  at International Conference on Computer Vision (ICCV), Nov 2011. ([pdf])
  44. 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. 
  45. P. Turaga, and R. Chellappa, “Nearest-neighbor algorithms on non-Euclidean Manifolds for Computer Vision Applications”, at Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP) 2010. ([pdf])
  46. J. Ni, P. Turaga, V. Patel, and R. Chellappa, “Object-dependent Manifold Priors for Image Deconvolution”, at DIPA Imaging and Applied Optics Congress, Tucson, AZ, June 2010.  ([pdf])
  47. P. Turaga, S. Biswas, and R. Chellappa, “Role of geometry for age estimation”,  at IEEE International Conference Acoustics, Speech and Signal Processing (ICASSP), May 2010.  ([pdf])
  48. A. Sankaranarayanan, P. Turaga, R. Baraniuk, and R. Chellappa, “Compressive Acquisition of Dynamic Textures”, at European Conference on Computer Vision (ECCV), Sep  2010.([pdf])
  49. R. Gopalan, P. Turaga, and R. Chellappa, “Articulation-Invariant Representation of non-planar Shapes”, at European Conference on Computer Vision (ECCV), Sep  2010.([pdf])
  50. N. Shroff, P. Turaga, and R. Chellappa, “Moving Vistas: Exploiting Motion for Describing Scenes”, at IEEE conference on Computer Vision and Pattern Recognition (CVPR), June  2010. ([pdf])
  51.  T. Syeda-Mahmood, P. Turaga, D. Beymer, F. Wang, A. Amir, H. Greenspan, and K. Pohl, “Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support ”, at IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 2010.  ([pdf])
  52. P. Turaga and R. Chellappa, “Locally Time-Invariant models of Human Activities using Trajectories on the Grassmannian ”, at IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 2009.  ([pdf])
  53. P. Turaga, A. Veeraraghavan and R. Chellappa, “Statistical Analysis on Stiefel and Grassmann manifolds with Applications in Computer Vision”, in IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 2008.  ([pdf])
  54. U. Akdemir, P. Turaga and R. Chellappa, “An Ontology based approach for activity recognition from Video”, in ACM Conference on Multimedia (ACM-MM), October 2008.  ([pdf])
  55. P. Turaga and R. Chellappa, “Learning Action Dictionaries from Video”, in IEEE International Conference on Image Processing (ICIP), October 2008.  ([pdf])
  56. P. Turaga, A. Veeraraghavan and R. Chellappa, “Recognizing Humans and their Activities using Statistical Analysis on Stiefel and Grassmann manifolds”, Snowbird Learning Workshop, Snowbird, Utah, April 2008. ([pdf])
  57. Buzz: Measuring and Visualizing Conference Crowds ACM SIGGRAPH 2007 Emerging Technologies, San Diego, CA, USA. August 2007. (Contributor). (Web Link) (Youtube Link)
  58. P. K. Turaga, A.Veeraraghavan and R. Chellappa, “From videos to verbs: Mining Videos for Activities using a cascade of dynamical systems”, in IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 2007. ([pdf]) ([ppt]) ([Video Clustering Project Page]
  59. 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.