Namrata Vaswani's
Publications
Research Summary
Newer
work: Real-time (Recursive) Robust PCA
Talk on Recursive Sparse Recovery (invited
talk at Brown Univ, Feb 2011, talks at JHU, UMD)
Recent Preprints and Conference Papers (with no journal
papers yet!)
·
Recursive Robust PCA
o
Chenlu Qiu and Namrata
Vaswani, Recursive
Sparse Recovery in Large but Low Dimensional Noise, 48th Allerton
Conference on Communication Control and Computing, 2011.
o
Chenlu
Qiu and Namrata Vaswani, Support Predicted Modified-CS for
Recursive Robust Principal Components' Pursuit, IEEE Intl. Symp. Info.
Theory (ISIT) 2011
o
Chenlu
Qiu and Namrata Vaswani, Real-time Robust Principal
Components' Pursuit, 48th Allerton
Conference on Communication Control and Computing, 2010 (Allerton
talk)(talk2)
·
Recursive
Recovery of Sparse Signal Sequences
o
Namrata Vaswani, Stability
(over time) of Modified-CS for Recursive Causal Sparse Reconstruction, Allerton
2010. Talk Long version on ArXiv
o
Fardad Raisali and Namrata Vaswani, Stability (over time) of Regularized Modified-CS
(noisy) for Recursive Causal Sparse Reconstruction, CISS 2011
o
Samarjit Das
and Namrata Vaswani, “Particle Filtered Modified
Compressive Sensing (PaFiMoCS) for tracking signal sequences,” Asilomar
2010 (invited). Talk
o
Namrata Vaswani, KF-CS-residual
(KF-CS): Compressive Sensing on Kalman filtered residual, arXiv:0912.1628. Shorter
version in ICIP'08 and ICASSP 2009 (ICIP
talk)
Journal
Papers
- Wei
Lu and Namrata Vaswani, “Exact Reconstruction Conditions for Regularized
Modified Basis Pursuit”, to appear, IEEE Trans. Signal Processing, 2012
- Wei
Lu and Namrata Vaswani, “Regularized Modified BPDN for Noisy Sparse
Reconstruction with Partial Erroneous Support and Signal Value Knowledge”,
to appear, IEEE Trans. Signal Processing, 2012
- Samarjit
Das and Namrata Vaswani, “Particle Filter with Mode Tracker (PF-MT) for
Visual Tracking across Illumination Changes”, to appear, IEEE Trans. Image
Processing, 2012
- Namrata
Vaswani, "LS-CS-residual (LS-CS):
Compressive Sensing on the Least Squares Residual", IEEE
Trans. Signal Processing, August 2010.
- Namrata
Vaswani and Wei Lu, Modified-CS:
Modifying Compressive Sensing for Problems with Partially Known Support,
IEEE Trans. Signal Processing, September 2010.
- Samarjit
Das and Namrata Vaswani, Nonstationary
Shape Activities: Dynamic Models for Landmark Shape Change and
Applications, IEEE Trans. Pattern Analysis and Machine Intelligence
(PAMI), To Appear, 2010.
- Namrata
Vaswani, Yogesh Rathi, Anthony Yezzi, Allen Tannenbaum, Deform PF-MT: Particle Filter with Mode Tracker for
Tracking Non-Affine Contour Deformations, IEEE Trans. Image
Processing, To Appear, 2010.
- Namrata
Vaswani, Particle
Filtering for Large Dimensional State Spaces with Multimodal Observation
Likelihoods, IEEE Trans. Signal Processing, pp.4583-4597, Oct. 2008.
- Yogesh
Rathi, Namrata Vaswani, Allen
Tannenbaum, Anthony Yezzi, Tracking Deforming
Objects using Particle Filtering for Geometric Active Contours, IEEE
Trans. on Pattern Analysis and Machine Intelligence (PAMI), pp. 1470-1475,
August 2007.
- Yogesh
Rathi, Namrata Vaswani, Allen
Tannenbaum, A Generic Framework for Tracking using
Particle Filter with Dynamic Shape Prior, IEEE Trans. Image Processing, pp.1370-1382, May
2007
- Namrata
Vaswani, Additive Change Detection in
Nonlinear Systems with Unknown Change Parameters, IEEE Trans. Signal Processing, pp. 859-872, March
2007.
- Namrata
Vaswani, Rama Chellappa, Principal Component Null
Space Analysis for Image and Video Classification, IEEE Trans. Image Processing, pp. 1816-1830, July
2006.
- Namrata
Vaswani, Amit Roy-Chowdhury, Rama Chellappa, "Shape Activity": A Continuous State
HMM for Moving/Deforming Shapes with Application to Abnormal Activity
Detection, IEEE Trans. Image Processing, pp
1603-1616, October 2005
- A.
Ramamoorthy, Namrata Vaswani, S. Chaudhury and S. Bannerjee, Recognition of Dynamic Hand
Gestures , Pattern Recognition, Vol. 36, No. 9, pp. 2069-2081,
September, 2003
- Bookchapter:
Namrata Vaswani, A.K. Agrawal, Q. Zheng, R. Chellappa, Moving Object Detection and Compression in
IR Sequences, bookchapter in Computer Vision beyond the Visible
Spectrum, Eds B. Bhanu and I. Pavlidis, Springer, 2003
Low Acceptance Rate (<
25%) Conference Papers
- Bi
Song, Namrata Vaswani, Amit Roy-Chowdhury, Closed-loop
Tracking and Change Detection in Multi-Activity Sequences, IEEE
Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), 2007. (Acceptance
rate: 25%)
- Yogesh
Rathi, Namrata Vaswani , Allen Tannenbaum, Anthony Yezzi, "Particle Filtering for Geometric Active
Contours and Application to Tracking Deforming Objects", IEEE
Intl. Conference on Computer Vision and Pattern Recognition (CVPR), 2005, oral.
(Acceptance rate: 6%)
- Namrata Vaswani, Bound on Errors in
Particle Filtering with Incorrect Model Assumptions and its
Implication for Change Detection, IEEE Intl. Conference on Acoustics,
Speech and Signal Processing (ICASSP), 2004. Selected
among top 15% papers in Signal Processing Theory and Methods category, and
received an invitation to submit to IEEE Signal Processing Society
journals. (Acceptance rate: 15%*50% = 7.5%)
- Namrata
Vaswani, A. RoyChowdhury, Rama Chellappa, "Activity Recognition Using the Dynamics of the
Configuration of Interacting Objects", IEEE Computer Vision
and Pattern Recognition (CVPR), 2003. (Acceptance rate: 25%)
All
Conference Papers (reverse chronological order)
- Chenlu Qiu and Namrata
Vaswani, Support Predicted Modified-CS for
Recursive Robust Principal Components' Pursuit, IEEE Intl. Symp. Info.
Theory (ISIT) 2011
- Wei
Lu, Taoran Li, Ian Atkinson, Namrata Vaswani,
Modified-CS-Residual for Recursive Reconstruction of Highly Undersampled
Functional MRI Sequences, IEEE Intl. Conf. Image Proc. (ICIP) 2011
- Fardad
Raisali and Namrata Vaswani, Stability
(over time) of Regularized Modified-CS (noisy) for Recursive Causal Sparse
Reconstruction, CISS 2011
- Chenlu
Qiu and Namrata Vaswani, Real-time Robust
Principal Components' Pursuit, Allerton, 2010
- Namrata Vaswani, Stability (over time) of Modified-CS
for Recursive Causal Sparse Reconstruction, Allerton 2010 (invited) Talk
- Wei
Lu and Namrata Vaswani, Exact
Reconstruction Conditions and Error Bounds for Regularized Modified Basis
Pursuit, Asilomar 2010
- Samarjit
Das and Namrata Vaswani, “Particle Filtered
Modified Compressive Sensing (PaFiMoCS) for tracking signal sequences,”
Asilomar 2010 (invited). Talk
- Wei Lu and Namrata
Vaswani, Modified Basis Pursuit Denoising (Modified-BPDN) For Noisy
Compressive Sensing With Partially Known Support, IEEE Intl. Conf.
Acous. Speech. Sig.Proc.(ICASSP), 2010
- Wei
Lu and Namrata Vaswani, Modified
Compressive Sensing for Real-time Dynamic MR Imaging, IEEE Intl. Conf.
Image Proc (ICIP), 2009
- Namrata
Vaswani and Wei Lu, Modified-CS:
Modifying Compressive Sensing for Problems with Partially Known Support,
IEEE Intl. Symp. Info. Theory (ISIT), 2009.
- Namrata
Vaswani, Analyzing Least Squares and
Kalman Filtered Compressed Sensing, IEEE Intl. Conf. Acous. Speech.
Sig. Proc. (ICASSP), 2009.
- Chenlu
Qiu, Wei Lu and Namrata Vaswani, Real-time
Dynamic MR Image Reconstruction using Kalman Filtered Compressed Sensing,
IEEE Intl. Conf. Acous. Speech. Sig. Proc. (ICASSP), 2009.
- S.
Das and N. Vaswani, Efficient importance sampling techniques for large
dimensional and multimodal posterior computations, IEEE Digital Signal
Processing/SPE Workshop, Miami
FL, Jan 2009 (invited)
- Namrata
Vaswani, Kalman Filtered Compressed
Sensing, IEEE Intl. Conf. Image Proc. (ICIP), 2008.
- Amit
Kale and Namrata Vaswani, Generalized ELL for
Detecting and Tracking Through Illumination Model Changes, IEEE Intl.
Conf. Image Proc. (ICIP), 2008.
- Samarjit
Das and Namrata Vaswani, Model-based
Compression of Nonstationary Landmark Shape Sequences, IEEE Intl.
Conf. Image Proc. (ICIP), 2008.
- Bi
Song, Namrata Vaswani, Amit Roy-Chowdhury, Closed-loop
Tracking and Change Detection in Multi-Activity Sequences, IEEE
Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), 2007.
- Namrata
Vaswani and Samarjit Das, Particle Filter with
Efficient Importance Sampling and Mode Tracking (PF-EIS-MT) and its
Application to Landmark Shape Tracking, Asilomar 2007 (invited)
- Amit
Kale, Namrata Vaswani, Christopher Jaynes, Particle Filter with Mode Tracker (PF-MT)
for Visual Tracking across Illumination Change, IEEE Intl. Conf. on
Acoustics, Speech and Signal Processing (ICASSP), 2007
- Namrata
Vaswani, PF-EIS and PF-MT: New Particle
Filtering Algorithms for Multimodal Observation Likelihoods and Large
Dimensional State Spaces, IEEE Intl. Conference on Acoustics, Speech
and Signal Processing (ICASSP), 2007
- Namrata
Vaswani, Anthony Yezzi, Yogesh Rathi, Allen Tannenbaum, Particle Filters for Infinite (Or Large) Dimensional
State Spaces - Part 1, IEEE Intl. Conference on Acoustics,
Speech and Signal Processing (ICASSP), 2006.
- Namrata
Vaswani, Particle Filters for Infinite
(Or Large) Dimensional State Spaces - Part 2 , IEEE Intl. Conference
on Acoustics, Speech and Signal Processing (ICASSP), 2006.
- Bi
Song, Namrata Vaswani and Amit K. Roy-Chowdhury, Summarization and Indexing of Human Activity
Sequences, IEEE Conf. on Image Processing (ICIP), 2006.
- NamrataVaswani,
Anthony Yezzi, Yogesh Rathi, Allen Tannenbaum, Time-varying Finite Dimensional Basis for
Tracking Contour Deformations, IEEE Conf. on Decision and Control
(CDC), 2006.
- Yogesh
Rathi, Namrata Vaswani , Allen Tannenbaum, Anthony Yezzi, "Particle Filtering for Geometric Active
Contours and Application to Tracking Deforming Objects", IEEE
Intl. Conference on Computer Vision and Pattern Recognition (CVPR), 2005, oral.
- Namrata
Vaswani and Rama Chellappa, NonStationary "Shape
Activities", IEEE Conf. on Decision and Control (CDC),
2005.
- Namrata
Vaswani, " The Modified CUSUM
Algorithm for Slow and Drastic Change Detection in General HMMs with
Unknown Change Parameters", IEEE Intl. Conference on
Acoustics, Speech and Signal Processing (ICASSP), 2005. There is an
error in section 3, first paragraph: the averaging (dividing by 1/p)
should be removed.
- Namrata Vaswani, Bound on Errors in
Particle Filtering with Incorrect Model Assumptions and its
Implication for Change Detection, IEEE Intl. Conference on Acoustics,
Speech and Signal Processing (ICASSP), 2004. Selected among
top 15% papers in Signal Processing Theory and Methods category, and
received an invitation to submit to IEEE Signal Processing Society
journals.
- Namrata
Vaswani, "Change Detection in
Partially Observed Nonlinear Dynamic Systems With Unknown Change
Parameters", American Control Conference (ACC), 2004.
- Namrata
Vaswani, Rama Chellappa, "Classification
Probability Analysis of Principal Component Null Space Analysis",
Intl. Conference on Pattern Recognition (ICPR), 2004.
- Namrata
Vaswani, A. RoyChowdhury, Rama Chellappa, "Activity Recognition Using the Dynamics of the
Configuration of Interacting Objects", IEEE Computer Vision
and Pattern Recognition (CVPR), 2003.
- Namrata
Vaswani, A. RoyChowdhury, R. Chellappa, Statistical Shape Theory for Activity
Modeling, IEEE Intl. Conf. on Acoustics, Speech and Signal Processing
(ICASSP), 2003.
- Namrata
Vaswani and Rama Chellappa, A Particle
Filtering Approach to Abnormality Detection in Nonlinear Systems and its
Application to Abnormal Activity Detection, 3rd Intl. Workshop on
Statistical and Computational Theories of Vision, held in conjunction with
ICCV, 2003.
- R.
Chellappa, N.Vaswani, A.RoyChowdhury, "Activity Modeling and Recognition Using
Shape Theory", Behavior Representation in Modeling and
Simulation (BRIMS), 2003.
- Namrata
Vaswani, A Linear Classifier
for Gaussian Class Conditional Distributions with Unequal Covariance
Matrices, Intl. Conference on Pattern Recognition (ICPR),
2002.
- NamrataVaswani
and Rama Chellappa, Best View Selection
and Compression of Moving Objects in IR Sequences, IEEE Intl.
Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2001.
- Meeta
Sharma, Namrata Vaswani and Suneet Tuli, "Novel Techniques for Time
and Frequency Domain Characterization of Surface Acoustic Wave
Devices", VIII National Symposium on Ultrasonics in 1997, at Amritsar, India.
Ph.D. Thesis: Change Detection
in Stochastic Shape Dynamical Models with Applications in Activity
Modeling and Abnormal Activity Detection