Publications

Books, Journals & Conferences

Contributed Book Chapters

  1. R. Bala and V. Monga, "Video Anomaly Detection", in Computer Vision and Imaging in Intelligent Transportation Systems, Ed. Robert Loce, Mohan Trivedi and Raja Bala, IEEE Wiley Press, May 2017.
  2. V. Monga, N. Damera-Venkata and B. L. Evans, "Color Image Halftoning", invited book chapter in Color Image Processing: Methods and Applications, Ed. Kostantinos N. Plataniotis, Electrical Engineering and Applied Mathematics, CRC Press 2006.

Refereed Journal Papers

  1. Y. -C. Sun, I. D. Gerg and V. Monga, "Iterative, Deep Synthetic Aperture Sonar Image Segmentation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 4206615, doi: 10.1109/TGRS.2022.3162420.
  2. J. Shi, Y. Zhao, W. Xiang, V. Monga, X. Liu, R. Tao, ``Deep Scattering Network with Fractional Wavelet Transform'', IEEE Transactions on Signal Processing, volume 69, pp 4740-4757, July 2021.
  3. A. Yazdani, S. Agrawal, K. Johnstonbaugh, S. R. Kothapalli, V. Monga, ``Simultaneous Denoising and Localization Network for Photoacoustic Target Localization'', IEEE Transactions on Medical Imaging, volume 40, issue 9, pp 2367-2379, September 2021.
  4. S. J. Schiff, A. V. Kulkarni, E. M. Kabachelor, J. Mugamba, P. Ssenyonga, R. Donnelly, J. Levenbach, V. Monga, M. Peterson, V. Cherukuri, B. C. Warf, ``Brain growth after surgical treatment of infant post-infectious hydrocephalus in sub-Saharan Africa: two-year results of a randomized trial'', to appear in Journal of Neurosurgery: Pediatrics, 2021.
  5. M. R. Peterson, V. Cherukuri, J. N. Paulson, P. Ssentongo, A. V. Kulkarni, B. C. Warf, V. Monga, S. J. Schiff, ``Normal Childhood Brain Growth and a Universal Sex and Anthropomorphic Relationship to Cerebrospinal Fluid'', to appear in Journal of Neurosurgery: Pediatrics, 2021.
  6. I. D. Gerg and V. Monga ``Structural Prior Driven Regularized Deep Learning For Sonar Image Classification'', to appear in IEEE Transactions on Geoscience and Remote Sensing, 2021.
  7. V. Monga, Y. Li and Y. Eldar, ``Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing'', IEEE Signal Processing Magazine, volume 38, issue 2, March 2021.
  8. K. A. Alhujaili, X. Yu, G. Cui and V. Monga, "Spectrally Compatible MIMO Radar Beampattern Design Under Constant Modulus Constraints", IEEE Transactions on Aerospace and Electronic Systems, volume 56, number 6, pp. 4749-4766, December 2020.
  9. X. Li, V. Monga and A. Mahalanobis, "Multi-view Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors", IEEE Transactions on Geoscience and Remote Sensing, volume 58, number 10, pp. 6776-6790, 2020.
  10. X. Yu, K. A. Alhujaili, G. Cui and V. Monga, "MIMO Radar Waveform Design in the Presence of Multiple Targets and Practical Constraints", IEEE Transactions on Signal Processing, volume 68, pp. 1974-1989, 2020.
  11. Y. Li, M. Tofighi, J. Geng, V. Monga, and Y. Eldar ``Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling'', in IEEE Transactions On Computational Imaging, volume 6, issue 1, pp. 666-681, January 2020.
  12. V. Cherukuri, T. Guo, S. Schiff and V. Monga, ``Deep MR Super-resolution Using Spatio-Structural Priors'', in IEEE Transactions On Image Processing, volume 29, issue 1, pp. 1368-1383, January 2020
  13. V. Cherukuri, BG V. Kumar, R. Bala and V. Monga, ``Deep Retinal Image Segmentation with Regularization Under Geometric Priors'', in IEEE Transactions On Image Processing, volume 29, issue 1, pp. 2552-2567, January 2020
  14. T. H. Vu, L. H. Nguyen and V. Monga, "Classifying Multichannel UWB SAR Imagery via Tensor Sparsity Learning Techniques," in IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 4, pp. 1712-1724, Aug. 2019.
  15. X. Li, V. Monga and A. U. Rao, "Analysis-Synthesis Learning with Shared Features: Algorithms for Histology Image Classification",IEEE Transactions on Biomedical Engineering, volume 27, issue 4, pp. 1061-1073, April 2020.
  16. K. A. Alhujaili, V. Monga and M. Rangaswamy, "Quartic Gradient Descent for Tractable Radar Slow-Time Ambiguity Function (STAF) Shaping", IEEE Transactions on Aerospace and Electronic Systems , volume 56, issue 2, pp. 1474-1489, August 2019.
  17. K. A. Alhujaili, V. Monga and M. Rangaswamy, "Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifold", in IEEE Transactions on Signal Processing, vol. 67, no. 13, pp. 3561-3575, July, 2019.
  18. T. Guo, H. S. Mousavi and V. Monga , "Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks", in IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4685-4700, Sept. 2019.
  19. Y. Li, M. Tofighi and V. Monga , "Robust Alignment for Panoramic Stitching Via an Exact Rank Constraint", in IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4730-4745, Oct. 2019.
  20. M. Tofighi, T. Guo, J. Vanamala and V. Monga , "Prior Information Guided Deep Learning for Cell Nucleus Detection", in IEEE Transactions on Medical Imaging, vol. 38, no. 9, pp. 2047-2058, Sept. 2019..
  21. B. Kang, O. Aldayel, V. Monga and M. Rangaswamy, "Spatio-spectral Radar Beampattern Design for Co-existence with Wireless Communication Systems", IEEE Transactions on Aerospace and Electronic Systems, volume 55, issue 2, pages 644-657, April 2019.
  22. S. Kuthuru, W. Deadrick, H Bai, C. Su, T. Vu, V. Monga and A. Rao, "A Visually Interpretable Dictionary Based Approach to Imaging-Genomic Modeling With Low-Grade Glioma as a Case Study", Cancer Informatics, issue 17, October 2018.
  23. V. Cherukuri, P. Ssenyonga, B. C. Warf, A. V. Kulkarni, V. Monga, and S. J. Schiff, "Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans", IEEE Transactions on Biomedical Engineering, volume 65, issue 8, pages 1871-1884, August 2018.
  24. M. Tofighi, Y. Li and V. Monga, "Blind Image Deblurring Using Row-Column Sparse Representations'', IEEE Signal Processing Letters, volume 25, issue 2, pages 273-277, February 2018.
  25. A. Kulkarni, S. J. Schiff, B. C. Warf, V. Monga, V. Cherukuri et al, "Endoscopic Treatment versus Shunting for Infant Hydrocephalus in Uganda'', New England Journal of Medicine, 337:2456-2464, December, 2017.
  26. T. H. Vu and V. Monga, "Fast low-rank shared dictionary learning for image classification'', IEEE Transactions on Image Processing, volume 26, issue 11, pages 5160-5175, November 2017.
  27. H. S. Mousavi and V. Monga, "Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints'', IEEE Transactions on Image Processing, volume 26, issue 11, pages 5094-5106, November 2017.
  28. J. McKay, V. Monga and R. G. Raj, "Robust SONAR ATR Through Bayesian Pose Corrected Sparse Classification'', IEEE Transactions on Geosciences and Remote Sensing, volume 55, issue 10, pages 5563-5576, October 2017.
  29. O. Aldayel, V. Monga, and M. Rangaswamy, "Tractable Transmit MIMO Beampattern Design under a Constant Modulus Constraint," IEEE Transactions on Signal Processing, volume 65, issue 10, pages 2588-2599, May 2017.
  30. Y. Li, C. Lee and V. Monga, "A Maximum A Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis", IEEE Transactions on Image Processing, volume 26, issue 3, pages 1143-1157, March 2017.
  31. B. Kang, V. Monga, M. Rangaswamy and Y. Abramovich, "An Expected Likelihood Approach for Determining Constraints in Covariance Estimation" IEEE Transactions on Aerospace and Electronic Systems, volume 52, issue 5, pages 2139-2156, October 2016.
  32. C. Lee and V. Monga, "Power Constrained RGB to RGBW Conversion for Emissive Displays: Optimization Based Approaches", IEEE Transactions on Circuits and Systems for Video Technology volume 26, issue 10, pages 1821-1834, October 2016.
  33. O. Aldayel, V. Monga and M. Rangaswamy, "Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints", IEEE Transactions on Signal Processing, volume 64, no. 14, pages 3760-3773, July 2016.
  34. T. H. Vu, H. S. Mousavi, V. Monga, A. U. Rao and G. Rao, "Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning", IEEE Transactions on Medical Imaging, volume 35, issue 3, pages 738-751, March 2016.
  35. H. S. Mousavi, V. Monga and T. Tran, "Iterative Convex Refinement for Sparse Recovery", IEEE Signal Processing Letters, volume 22, issue 11, pages 1903-1907, Nov. 2015.
  36. M. Li and V. Monga, "Two fold video hashing with automatic synchronization", IEEE Transactions on Information Forensics and Security, volume 10, issue 8, pages 1727-1738, August 2015.
  37. U. Srinivas, Y. Suo, M. Dao, V. Monga, and T. D. Tran, "Structured sparse priors for image classification", IEEE Transactions on Image Processing, volume 24, issue 6, pages 1763-1775, June 2015.
  38. H. S. Mousavi, V. Monga, A. U. Rao and G. Rao, "Automated Discrimination of Lower and Higher Grade Gliomas Based on Histopathological Image Analysis" , Journal of Pathology Informatics, volume 6, issue 1, March 2015.
  39. U. Srinivas, V. Monga and N. Nasrabadi, "Graph-based Sensor Fusion for Classification of Transient Acoustic Signals", IEEE Transactions on Cybernetics ,volume 45, issue 3, pages 576-587, March 2015.
  40. B. Kang, V. Monga and M. Rangaswamy, "Computationally Efficient Toeplitz Approximation of Structured Covariance Under a Rank Constraint" IEEE Transactions on Aerospace and Electronic Systems, volume 51, issue 1, January 2015.
  41. C. Lee, Y. Li and V. Monga, "Ghost-Free High Dynamic Range Imaging Via Rank Minimization", IEEE Signal Processing Letters , vol. 21, issue 9, pages 1045-1049, Sep 2014.
  42. U. Srinivas, H. Mousavi, V. Monga, A. Hattel and B. Jayarao, "SHIRC: Simultaneous Sparsity Model for Histopathological Image Representation and Classification", IEEE Transactions on Medical Imaging, vol. 33, issue 5, pages 1-17, May 2014.
  43. X. Mo, V. Monga, R. Bala and Z. Fan, "Adaptive Sparse Representations for Video Anomaly Detection", IEEE Transactions on Circuits and Systems for Video Technology, volume 24, issue 4, pages 631-645, April 2014.
  44. B. Kang, V. Monga and M. Rangaswamy, "Rank constrained ML estimation of structured covariance matrices" IEEE Transactions on Aerospace and Electronic Systems, volume 50, issue 1, pages 501-516, January 2014.
  45. U. Srinivas. V. Monga and R. Raj, "SAR Automatic Target Recognition Using Discriminative Graphical Models" IEEE Transactions on Aerospace and Electronic Systems, volume 50, issue 1, pages 591-606, January 2014.
  46. A. Hattel, V. Monga, U. Srinivas, J. Gillespie, J. Brooks, J. Fisher, and B. Jayarao,"Development and evaluation of an automated histology classification system for veterinary pathology", Journal of Veterinary Diagnostic Investigation, vol. 25, number 6, pages 765-769, Nov. 2013.
  47. M. Li and V. Monga, "Compact Video Fingerprinting Via Structural Graphical Models", IEEE Transactions on Information Forensics and Security , Volume 8, Issue 11, pp. 1709-1721, November, 2013.
  48. P. Vemulapalli, V. Monga and S. Brennan, "Robust Extrema Features for Time-Series Data Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 35, issue 6, pages 1464-1479, June 2013.
  49. U. Srinivas, Y. Chen, V. Monga, N. Nasrabadi, T. Tran, "Exploiting sparsity in hyperspectral image classification via Graphical Models", IEEE Geoscience and Remote Sensing Letters, vol. 10, issue 3, pages 505-509, May 2013.
  50. M. Li, V. Monga, "Robust Video Hashing via Multilinear Subspace Projections", IEEE Transactions on Image Processing, vol. 21, issue 10, pages 4397-4409, Oct 2012.
  51. V. Monga, R.Bala and X. Mo, "Design and Optimization of color look-up-tables on a simplex topology", IEEE Transactions on Image Processing, vol. 21, number 4, 1981-1996, April 2012.
  52. O. Bulan, V. Monga and G. Sharma, "Capacity Analysis for Orthogonal Halftone Orientation Modulation Channels", in IEEE Transactions on Image Processing, volume 21, issue 1, pages, 405-411, Jan 2012.
  53. O. Bulan, G. Sharma, and V. Monga, "Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints", IEEE Transactions on Image Processing, vol. 19, no. 8, August 2010, pp. 2070-2084.
  54. V. Monga, S. Wang and R. Bala, "Channel-separable halftone independent methods for color drift correction", SPIE Journal of Electronic Imaging, vol. 17, issue 1, p. 013003, 2008.
  55. V. Monga and K. Mihcak "Robust and Secure Image Hashing Via Non-negative Matrix Approximations", IEEE Transactions on Information Forensics and Security, volume 2, issue 3, pp. 376-390, Sep. 2007.
  56. V. Monga, N. Damera-Venkata, and B. L. Evans, "Design of Tone Dependent Color Error Diffusion Halftoning Systems", IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 198-211, Jan. 2007.
  57. V. Monga and B. L. Evans, "Perceptual Hashing via Image Feature Points: Performance Evaluation and Trade-offs", IEEE Transactions on Image Processing, vol. 15, no. 11, pp. 3452-3465, Nov. 2006.
  58. V. Monga, A. Banerjee, and B. L. Evans, "A Clustering Based Approach to Perceptual Image Hashing", IEEE Transactions on Information Forensics and Security, vol. 1, no. 1, pp. 68-79, March 2006.
  59. N. Damera-Venkata, J.Yen, V. Monga, and B. L. Evans, "Hardcopy Image Barcodes Via Block Error Diffusion", IEEE Transactions on Image Processing, vol. 14, no. 12, pp. 1977-1989, Dec. 2005.
  60. R. Bala, G. Sharma, V. Monga and J. P. V. Capelle, "Two-dimensional transforms for device color-correction and calibration", IEEE Transactions on Image Processing, vol. 14, no. 8, pp. 1172-1186, Aug 2005.
  61. N. Damera-Venkata, B. L. Evans, and V. Monga, "Color Error Diffusion Halftoning", IEEE Signal Processing Magazine, invited paper in Special Issue on Digital Halftoning, vol. 20, no. 4, pp. 51-58, July 2003.
  62. V. Monga , W. S. Geisler, and B. L. Evans, "Linear, Color Separable, Human Visual System Models for Vector Error Diffusion Halftoning", IEEE Signal Processing Letters, vol. 10, no. 4, pp. 93-97, Apr. 2003

Refereed Conference Papers

  1. K. Metwaly, A. Kim, E. Branson and V. Monga, "GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, LA, US, 2022
  2. Y. -C. Sun, I. D. Gerg and V. Monga, "Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation," IEEE OCEANS 2021, San Diego – Porto, 2021, pp. 1-5, doi: 10.23919/OCEANS44145.2021.9705927.
  3. M. Yu, V. Cherukuri, and V. Monga, "Ensemble Dehazing Networks for Non-homogenous Haze", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Seattle, WA, US, 2020
  4. K. Metwaly, X. Li, and V. Monga, "NonLocal Channel Attention for NonHomogeneous Image Dehazing", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Seattle, WA, US, 2020
  5. K. Metwaly and V. Monga , "Attention-Mask Dense Merger (Attendense) Deep HDR for Ghost Removal", in preceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
  6. T. Guo and V. Monga , "Reinforced Depth-Aware Deep Learning for Single Image Dehazing", in preceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
  7. X. Li and V. Monga , "Group Based Deep Shared Feature Learning for Fine-Grained Image Classification", British Machine Vision Conference (BMVC), Cardiff University, Cardiff, UK, 2019. Invited as Oral Presentation
  8. T. Guo, X. Li, V. Cherukuri, and V. Monga, "Dense `123' Color Enhancement Dehazing Network", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Long Beach, CA, US, 2019
  9. T. Guo, V. Cherukuri, and V. Monga, "Dense Scene Information Estimation Network for Dehazing", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Long Beach, CA, US, 2019
  10. Y. Li, M. Tofighi, V. Monga and Y. C. Eldar, "An Algorithm Unrolling Approach to Blind Image Deblurring," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
  11. K. Alhujaili, V. Monga and M. Rangaswamy, "Ambiguity Function Shaping via Quartic Descent on the Complex Circle Manifold", in Proc. IEEE Radar Conference, Boston, MA, April 2019.
  12. K. Alhujaili, V. Monga and M. Rangaswamy, "MIMO Radar Beampattern Design Under Joint Constant Modulus and Orthogonality Constraints", in Proc. IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, November 2018.
  13. M. Tofighi, T. Guo, J.K.P. Vanamala, and V. Monga, "Deep Networks with Shape Priors for Nucleus Detection", in Proc. 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, October 2018.
  14. V. Cherukuri, T. Guo, S. J.Schiffand, and V. Monga, "Deep MR Image Super-Resolution Using Structural Priors", in Proc. 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, October 2018.
  15. H. S.Mousavi, T. Guo, and V. Monga, "Deep Image Super Resolution via Natural Image Priors," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada, April 2018.
  16. T. Guo, H. S. Mousavi and V. Monga, "Orthogonally Regularized Deep Networks For Image Super-resolution," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada, April 2018.
  17. T. H. Vu, T. Guo, L. Nguyen, and V. Monga, "Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery," in Proc. IEEE Radar Conference,, Oklahoma City, April 2018.
  18. X. Li, V. Monga, and A. U. K. Rao, "Analysis-Synthesis Model Learning With Shared Features: A New Framework For Histopathological Image Classification", in Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA,  April 2018.
  19. J. McKay, R. G. Raj and V. Monga, "Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging", IEEE Asilomar Conference on Signals, Systems and Computers,  Pacific Grove, California, November 2017.
  20. J. McKay, V. Monga, I. Gerg and R. G. Raj,"What’s Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR", IEEE Oceans Conference,   Anchorage, Alaska, September, 2017.
  21. O. Aldayel, T. Guo, V. Monga and M. Rangaswamy, "Adaptive Sequential Refinement for Ambiguity Function Shaping in Cognitive Radar", IEEE Asilomar Conference on Signals, Systems and Computers,  Pacific Grove, California, November 2017.Finalist for the Best Student Paper Award
  22. T. Guo, H. S. Mousavi, T. H. Vu, and V. Monga, "Deep Wavelet Prediction for Image Superresolution," The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, NTIRE Superresolution Challenge, Hawai, July 2017.
  23. V. Cherukuri, P. Ssenyonga, B. C. Warf, A. Kulakrni, S. J. Schiff and V. Monga, "Learning Based Segmentation of Post-Operative CT Images: A Hydrocephalus Case Study," 8th IEEE International Conference on Neural Engineering,, Shanghai, China, May 2017. Finalist for the Best Student Paper Award
  24. O. Aldayel, V. Monga, and M. Rangaswamy, "Transmit MIMO beampattern design under constant modulus and spectral Interference Constraints," IEEE Radar Conference,, Seattle, May 2017.
  25. V. H. Tiep, H. Mousavi and V. Monga, "Adaptive Matching Pursuit for Sparse Signal Recovery", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 2017.Finalist for the Best Student Paper Award.
  26. T. Guo, H. Mousavi and V. Monga, "Deep learning based image super-resolution via coupled backpropogation ", IEEE Global conference on Signal and Information Processing (GlobalSIP), Washington DC, Dec 2016.
  27. B. Kang, O. Aldayel, V. Monga and M. Rangaswamy, "Joint Design of Waveform and Receive Filter for MIMO Radar using Parametric Programming", IEEE Asilomar Conference on Signals, Systems and Computers,  Pacific Grove, California, November, 2016.
  28. V. H. Tiep and V. Monga, "Learning a low-rank shared dictionary for object classification ", IEEE International Conference on Image Processing, Phoenix, Arizona, Sep 2016.
  29. H. S. Mousavi and V. Monga, "Sparsity Based Superresolution using color channel constraints ", IEEE International Conference on Image Processing, Phoenix, Arizona, Sep 2016.
  30. Y. Li and V. Monga, "SIASM: Sparsity Based Image Alignment and Stitching method for robust image mosaicking ", IEEE International Conference on Image Processing, Phoenix, Arizona, Sep 2016.
  31. J. McKay, V. Monga and R. G. Raj, " Localized Dictionary Design for Geometrically Robust Sonar ATR", IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
  32. O. Aldayel, V. Monga and M. Rangaswamy, "Tractable MIMO Beampattern Design Under Constant Modulus Waveform Constraint", IEEE Radar Conference,  Philadelphia, Pennsylvania  May 2016.
  33. O. Aldayel, V. Monga and M. Rangaswamy, "SQR: Successive QCQP Refinement for MIMO Radar Waveform Design", IEEE Asilomar Conference on Signals, Systems and Computers,  Pacific Grove, California Nov 9th-11th, 2015.Finalist for the Best Student Paper Award
  34. J. McKay, R. G. Raj and V. Monga, "Dicriminative Sparsity for SONAR ATR", IEEE Oceans Conference, pages 1-6, Washington DC, USA, Oct 19th-22nd, 2015.
  35. Y. Li, C. Lee and V. Monga, " A MAP Estimation Framework for HDR Video Synthesis", IEEE International Conference on Image Processing,  Quebec City, Canada,  Sep 27th-30th, 2015.
  36. B. Kang, V. Monga, M. Rangaswamy, and Y. I. Abramovich, "Automatic rank estimation for practical STAP covariance estimation via an expected likelihood approach", IEEE International Radar Conference, pages 1388-1393 Washington DC, USA,   May 2015.
  37. T. H. Vu, H. S. Mousavi, V. Monga, A. U. Rao and G. Rao, "DFDL: Discriminative Feature-Oriented Dictionary Learning For Histopathological Image Classification", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA,  April 16th-19th, 2015.
  38. M. Li and V. Monga, "Twofold video hashing with automatic synchronization", IEEE International Conference on Image Processing, Paris, France, Oct 27th-30th, 2014.
  39. H. S. Mousavi, U. Srinivas, Y. Suo, M. Dao, V. Monga and T. Tran, "Multi-task image classification via collaborative, hierarchical spike and slab priors" IEEE International Conference on Image Processing, Paris, France, Oct 27th-30th, 2014.
  40. Y. Suo, M. Dao, T. Tran, H. S. Mousavi, U. Srinivas and V. Monga, "Group Structured Dictionary Learning for Classification", IEEE International Conference on Image Processing, Paris, France, Oct 27th-30th, 2014.Rated in the Top 10 percent.
  41. X. Mo, V. Monga and R. Bala, "Simultaneous Sparsity Models for Multi-Perspective Video Anomaly Detection", IEEE International Conference on Image Processing, Paris, France, Oct 27th-30th, 2014.
  42. B. Kang, V. Monga and M. Rangaswamy, "Estimation of Structured Covariance Matrices for radar STAP under Practical Constraints", IEEE International Radar Conference, May 19th - 23rd, 2014, Cincinnati, OH, Winner of the Best Student Paper Award.
  43. C. Lee and V. Monga, "Power-Constrained RGB-to-RGBW Conversion for Emissive Displays", IEEE International Conference on Acoustics Speech and Signal Processing, May 2014, Florence, Italy.
  44. X. Mo, V. Monga, R. Bala and Z. Fan, "Low Rank Sparsity Prior for Robust Video Anomaly Detection", IEEE International Conference on Acoustics Speech and Signal Processing, May 2014, Florence, Italy.
  45. B. Kang, V. Monga, and M. Rangaswamy, "Constrained ML estimation of structured covariance matrices with applications in radar STAP," IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013, pp.101-104, 15-18 Dec. 2013
  46. B. Kang, V. Monga, and M. Rangaswamy, "EASTR: Efficient Approximation of Structured covariance under joint Toeplitz and Rank constraints’’, in Proc. IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, Nov. 2013.
  47. U. Srinivas, Y. Suo, M. Dao, V. Monga, and T. D. Tran, "Structured sparse priors for image classification", in Proc. IEEE International Conference on Image Processing, Melbourne, Australia, Sep 16th-18th, 2013.
  48. U. Srinivas, N. M. Nasrabadi, and V. Monga, "Graph-based multi sensor fusion for acoustic signal classification", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, Canada, May 2013.
  49. Y. Suo, M. Dao, T. D. Tran, U. Srinivas, and V. Monga, "Hierarchical sparse modeling using spike and slab priors", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, Canada, May 2013.
  50. B. Kang, V. Monga and M. Rangaswamy, "On the practical merits of the rank constrained ML estimator", in Proc. IEEE Radar Conference, Ottawa, Canada, Apr 29th -May 3rd, 2013.
  51. U. Srinivas, H. S. Mousavi, C. Jeon, V. Monga, A. Hattel, and B. Jayarao, "SHIRC: A Simultaneous sparsity model for Histopathological Image Representation and Classification", in Proc. IEEE International Symposium on Biomedical Imaging, San Francisco, CA, April 7th -11th, 2013, pp. 1106-1109.
  52. X. Mo, V. Monga, R. Bala and Z. Fan, "A joint sparsity model for video anomaly detection", in Proc. IEEE Asilomar Conference on Signal, Systems and Computers, Nov. 2012.
  53. M. Li and V. Monga, "Robust Video Fingerprinting Via Structural Graphical Models", in Proc. IEEE International Conference on Image Processing, Orlando, FL, Sep 30-Oct 3rd, 2012.
  54. U. Srinivas, Y. Chen, V. Monga, N. Nasrabadi and T. Tran, "Discriminative Graphical Models for Sparsity Based Hyperspectral Target Detection", in Proc. IEEE Int. Geoscience and Remote Sensing Symposium, July 2012, winner of the best student paper award.
  55. P. Vemulapalli, V. Monga and S. Brennan, "Optimally Robust Extrema filters for Time-Series Data", in Proc. American Control Conference, 2012, Montreal, Canada.
  56. V. Monga and M. Rangaswamy, "Rank-constrained maximum likelihood (ML) estimation of clutter covariance with applications", in Proceedings of the IEEE International Radar Conference, Atlanta, GA, May 2012.
  57. U. Srinivas, V. Monga and V. Riasati, "A comparative study of basis selection techniques for automatic target recognition", in Proceedings of the IEEE International Radar Conference, Atlanta, GA, May 2012.
  58. M. Maltz, V. Monga and Z. Fan, "Tensor Decompositions for color look-up table design", in Proc. SPIE Electronic Imaging Symposium, January 2012, San Francisco, CA.
  59. U. Srinivas, V. Monga, Y.Chen and T. D. Tran, "Sparsity-based face recognition using discriminative graphical models", in Proc. IEEE Asilomar Conference on Signals, Systems and Computers, Nov. 7-9, 2011.
  60. U. Srinivas, X. Mo, M. Parmar and V. Monga, "Image-adaptive color super-resolution", in Proc. IS&T/SID 19th Color Imaging Conference, San Jose, Nov. 9-11, 2011.
  61. M.Li, V. Monga, "Desynchronization Resilient Video Fingerprinting via Randomized, Low-rank Tensor Approximations", in Proc. IEEE Int. Workshop on Multimedia Signal Processing, Hangzhou, China, Oct. 17-19, 2011, winner of the Top 10% Paper Award.
  62. U. Srinivas, V. Monga and R. Raj, "Automatic Target Recognition Using Discriminative Graphical Models", in Proc. IEEE Int. Conf. on Image Processing, Brussels, Belgium, Sept. 11-14, 2011.
  63. D. Vats, V. Monga, U. Srinivas, and J. Moura, "Scalable Robust Hypothesis Tests Using Graphical Models", in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Prague, Czech Republic, May 23-28, 2011.
  64. U. Srinivas, V. Monga and R. Raj, "Meta-classifiers for exploiting feature dependencies in automatic target recognition",  in Proc. IEEE Radar Conference, Kansas City, May 2011.
  65. C. Fillion, Z. Fan and V. Monga, "Adaptive removal of background and white space from document images using seam categorization", Proc. SPIE Electronic Imaging, Jan 2011.
  66. V. Monga and U. Srinivas, "A constrained optimization perspective on joint spatial resolution and dynamic range enhancement", IEEE Asilomar Conference, invited paper in the Image and Video Enhancement session, Nov. 2010
  67. K. Senel, M. Kivanc Mihcak and V. Monga, "A learning framework for robust hashing of face images", in Proc. IEEE Int. Conf. on Image Processing, Hong-Kong, Sep 26-29, 2010
  68. V. Monga and R. Bala, "Algorithms for color look-up-table (LUT) design via joint optimization of node locations and output values", in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Dallas, Texas, March, 2010.
  69. V. Monga, R. Bala and C. Fillion, "The use of spatially based complexity measures towards color gamut mapping and image resizing", in Proc. SPIE Electronic Imaging, Color Imaging and Hardcopy Session, San Jose, Jan 2010.
  70. V. Monga and R. Bala, "Shaped local regression with application in approximating color transforms", Proc. IS&T Color Imaging Conference, Albequerque, NM, Nov 2009.
  71. S. Chen, V. Monga and P. Moulin, "Meta-classifiers for multi-modal document classification", IEEE Int. Workshop on Multimedia Signal Processing, Rio De Janerio, Oct 2009, winner of the Top 10% paper award.
  72. O. Bulan, V. Monga and G. Sharma, "High capacity color barcodes via dot orientation and color separability", Proc. SPIE Electronic Imaging, Multimedia Security Session, San Jose, Jan 2009
  73. V. Monga and R. Bala, "Sort-Select-Damp (SSD): An efficient strategy for look-up table (LUT) lattice design", Proc. IS&T Color Imaging Conference, Portland, Oregon, Nov. 2008.
  74. O. Bulan, G. Sharma, and V. Monga, "Image Adaptive Decoding for Halftone Orientation Modulation Data Hiding", IEEE Int. Conf. on Image Processing, San Diego, Oct 2008
  75. O. Bulan, V. Monga and G. Sharma, "On the Capacity of Orientation Modulation Halftone Channels", IEEE Int. Conf. on Acoustics, Speech and Signal Processing, March 2008.
  76. O. Bulan, V. Monga, G. Sharma, and B. Oztan, "Data Hiding in Hardcopy Images Via Halftone Dot Orientation Modulation", in Proc. SPIE Annual Electronic Imaging Symposium, Multimedia Security Session, Jan 2008
  77. J. McElvain, V. Monga, M. Parmar, and C. Hains, "Estimating Printer Misregistration from Color Shifts: A New Paradigm", Proc. SPIE Annual Electronic Imaging Symposium, Color Imaging: Hardcopy and Applications, Jan 2008.
  78. V. Monga and R. Bala, "Two-dimensional color correction: Recent Advances", Proc. IS&T/SID 14th Color Imaging Conference, Nov. 5th-8th, 2007.
  79. O. Harmanci, V. Monga and K. Mihcak, "Geometrically Invariant Watermarking via Robust Perceptual Hashes", Proc. IEEE Int. Conf. on Image Processing, Oct 8-11, Atlanta, Georgia, 2006.
  80. V. Monga and K. Mihcak, "Robust Image Hashing Via Non-negative Matrix Factorizations", Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Proc., May 15-19, Toulouse, France 2006.
  81. V. Monga, D. Vats and B. L. Evans, "Image Authentication Under Geometric Attacks Via Structure Matching'', Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 200-203, Netherlands, 2005.
  82. V. Monga and B. L. Evans, "Robust Perceptual Image Hashing Using Feature Points'', Proc. IEEE Int. Conf. on Image Processing, Oct. 24-27, 2004, Singapore.
  83. V. Monga, S. Wang and R. Bala, "Halftone Independent Methods for Color Drift Correction", SPIE Annu. Symposium on Electronic Imaging, Color Imaging: Processing, Hardcopy, and Applications, Jan 2007, San Jose, CA.
  84. V. Monga, A. Banerjee, and B. L. Evans, "Clustering Algorithms for Perceptual Image Hashing'', Proc. IEEE Int. Digital Signal Processing Workshop, Aug. 1-4, 2004, Taos, NM
  85. V. Monga and B. L. Evans, "Tone Dependent Color Error Diffusion'', Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Proc., May 17-21, 2004, Montreal, Canada
  86. V. Monga, R. Bala and G. Sharma, "Two-dimensional transforms for device color calibration'', Proc. SPIE/IS&T Int. Conf. On Color Imaging: Processing, Hardcopy, and Applications IX, Jan. 18-22, 2004, Santa Clara, CA USA
  87. V. Monga, N. Damera-Venkata, and B. L. Evans, "An Input-Level Dependent Approach to Color Error Diffusion'', Proc. IS&T/SPIE Conf. on Color Imaging: Processing, Hardcopy, and Applications IX, Jan. 18-22, 2004, Santa Clara, CA USA
  88. R. Bala, G. Sharma and V. Monga, "Two-dimensional color-correction transforms'', IS&T/SID Eleventh Color Imaging Conference, November 4-7, 2003.
  89. B. L. Evans, V. Monga, and N. Damera-Venkata, "Variations on Error Diffusion: Retrospectives and Future Trends'', SPIE/IS&T Int. Conf. on Color Imaging: Processing, Hardcopy, and Applications, Jan. 20-24, 2003, Santa Clara, CA, invited paper.

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