2019

  1. V. A. Sindagi and V. M. Patel, “Inverse attention guided deep crowd counting,” IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan, 2019.
  2. J. Zheng, J-C. Chen, V. M. Patel, C. Castillo, and R. Chellappa, “Hybrid dictionary learning and matching for video-based face verification,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Tampa, FL, 2019.
  3. P. Perera and V. M. Patel, “Deep transfer learning for multiple class novelty detection,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
  4. R. Yasarla and V. M. Patel, “Uncertainty guided multi-scale residual learning using a cycle spinning CNN for single image de-raining,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
  5. P. Oza and V. M. Patel, “C2AE: class conditioned auto-encoder for open-set recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
  6. M. Abavisani, H. V. Joze  and V. M. Patel, “Improving the performance of unimodal dynamic hand-gesture recognition with multimodal training,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
  7. P. Oza and V. M. Patel, “Active authentication using an autoencoder regularized CNN-based one-class classifier," IEEE International Conference on Automatic Face and Gesture Recognition (FG), Lille, France, 2019. (pdf)
  8. S. Wang, H. Chen, V. M. Patel, and A. Petropulu, “Two-dimensional beamforming automotive radar with orthogonal linear arrays,” IEEE Radar Conference (RadarConf), Boston, MA, 2019. (pdf)
  9. X. Wu, H. Huang, V. M. Patel, R. He, and Z. Sun, “Disentangled variational representation for heterogeneous face recognition,” AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, 2019. (pdf)
  10. V. A. Sindagi and V. M. Patel, “DAFE-FD: Density aware feature enrichment for face detection,” IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2019. (pdf)

2018

  1. P. Perera and V. M. Patel, “Dual-minimax probability machines for one-class mobile active authentication,” IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), Los Angeles, CA, 2018. (pdf)
  2. X. Di, H. Zhang, and V. M. Patel, “Polarimetric thermal to visible face verification via attribute preserved synthesis,” IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), Los Angeles, CA, 2018. (pdf)
  3. H. Nada, V. Sindagi, H. Zhang, and V. M. Patel, “Pushing the limits of unconstrained face detection: a challenge dataset and baseline results,” IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), Los Angeles, CA, 2018. (pdf)
  4. P. Wang, V. M. Patel, and I. Hacihaliloglu, “Simultaneous segmentation and classification of bone surfaces from ultrasound using a multi-feature guided CNN,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018. (pdf)
  5. B. S. Riggan, N. J. Short, M. S. Sarfraz, S. Hu, H. Zhang, V. M. Patel, S. Rasnayaka, J. Li, T. Sim, S. M. Iranmanesh, and N. M. Nasrabadi, “ICME grand challenge results on heterogeneous face recognition:
    polarimetric thermal-to-visible matching,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, 2018. (pdf)[Grand Challenge 1st Place Winner]
  6. C. Ancuti et al., “NTIRE2018 challenge on image dehazing: methods and results,” New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)[Challenge 1st Place Winner] 
  7. X. Di, V. A. Sindagi and V. M. Patel,
    “GP-GAN: Gender preserving GAN for synthesizing faces from landmarks,” International Conference on Pattern Recognition (ICPR), Beijing, China, 2018. (pdf)[Best Student Paper Award] 
  8. P. Perera, M. Abavisani, and V. M. Patel, “In2I: Unsupervised multi-image-to-image translation using generative adversarial networks,” International Conference on Pattern Recognition (ICPR), Beijing, China, 2018. (pdf). [Best Student Paper Award]
  9. H. Zhang, V. A. Sindagi, and V. M. Patel, “Multi-scale single image dehazing using perceptual pyramid deep network,” New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)
  10. H. Zhang and V. M. Patel, “Density-aware single image de-raining using a multi-stream dense network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)
  11. H. Zhang and V. M. Patel, “Densely connected pyramid dehazing network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)
  12. L. Wang, V. A. Sindagi, and V. M. Patel, “High-quality facial photo-sketch synthesis using multi-adversarial networks,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Xi’an, China, 2018. (pdf)
  13. A. Malhotra, R. Singh, M. Vatsa, and V. M. Patel, “Person authentication using head images,” IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV/CA, 2018. (pdf)
  14. S. Wang, V. M. Patel and A. Petropulu, “FPS-SFT: A multi-dimensional sparse Fourier transform based on the Fourier projection-slice theorem,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, 2018. (pdf)
  15. P. Wang and V. M. Patel, “Generating high quality visible images from SAR images using CNNs,” IEEE Radar Conference (RadarConf), Oklahoma City, OK, 2018. (pdf)
  16. S. Wang, V. M. Patel and A. Petropulu, “Robust sparse Fourier transform based on the Fourier projection-slice theorem,” IEEE Radar Conference (RadarConf), Oklahoma City, OK, 2018. (pdf)
  17. E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez and V. M. Patel, “Person recognition beyond the visible spectrum: combining body shape and texture from mmW images,” IAPR International Conference on Biometrics (ICB), Gold Coast, Australia, 2018. (pdf)[Honorable Mention Paper Award]
  18.  P. Wang, N. Cuccolo, R. Tyagi, I. Hacihaliloglu, and V. M. Patel, “Automatic real-time CNN-based neonatal brain ventricles segmentation,” IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, 2018. (pdf)
  19. M. Abavisani and V. M. Patel, “Adversarial domain adaptive subspace clustering,” IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Singapore, 2018. (pdf)

2017

  1. P. Wang, H. Zhang and V. M. Patel, “Generative adversarial network-based restoration of speckled SAR images,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curaçao, Dutch Antilles, 2017. (pdf)
  2. V. A. Sindagi and V. M. Patel, “Generating high-quality crowd density maps using contextual pyramid CNNs,” IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017. (pdf)
  3. H. Zhang, V. M. Patel, B. Riggan, and S. Hu, “Generative adversarial network-based synthesis of visible faces from polarimetric thermal faces,” International Joint Conference on Biometrics (IJCB), Denver, CO, 2017. (pdf)
  4. V. A. Sindagi and V. M. Patel, “CNN-based cascaded multi-task learning of high-level prior and density estimation for crowd counting,” IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Lecce, Italy, 2017. (pdf) (code) [Best Paper Award]
  5. H. Zhang, V. M. Patel, and R. Chellappa, “Hierarchical multimodal metric learning for multimodal classification,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017. (pdf)
  6. P. Perera and V. M. Patel, “Extreme value analysis for mobile active user authentication,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington DC, 2017. (pdf)
  7. P. Perera and V. M. Patel, “Towards multiple user active authentication in mobile devices,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington DC, 2017. (pdf)
  8. X. Di and V. M. Patel, “Large margin multi-modal triplet metric learning,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington DC, 2017. (pdf)
  9. S. Wang, V. M. Patel and A. Petropulu, “MIMO-RSFT radar: a reduced complexity MIMO radar based on the sparse Fourier transform,” IEEE Radar Conference (RadarCon), Seattle, WA, 2017. (pdf)
  10. E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez and V. M. Patel, “Millimetre wave person recognition: hand-crafted vs. learned features,” IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), New Delhi, India, 2017. (pdf)
  11. H. Zhang and V. M. Patel, “Convolutional sparse and low-rank coding-based rain streak removal,” IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, 2017. (pdf)
  12. P. Wang and V. M. Patel, “Extracting Fourier descriptors from compressive measurements,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017. (pdf)
  13. S. Wang, V. M. Patel and A. Petropulu, “A practical high dimensional sparse Fourier transform,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017. (pdf)

2016

  1. J. Zheng, J-C. Chen, N. Bodla, V. M. Patel, and R. Chellappa, “VLAD encoded deep convolutional features for unconstrained face verification,” International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016. (pdf)
  2. X. Yang, V. M. Patel, and A. P. Petropulu, “Spaceborne SAR antenna size reduction enabled by compressive sampling,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington DC, 2016. (pdf)
  3. H. Zhang and V. M. Patel, “Convolutional sparse coding-based image decomposition,” British Machine Vision Conference (BMVC), York, UK, 2016. (pdf)
  4. M. Abavisani and V. M. Patel, “Domain adaptive subspace clustering,” British Machine Vision Conference (BMVC), York, UK, 2016. (pdf)
  5. S. Wang, V. M. Patel and A. Petropulu, “RSFT: A realistic high dimensional sparse Fourier transform and its application in radar signal processing,”  IEEE Military Communications Conference (MILCOM), Baltimore, MD, 2016. (pdf)
  6. P. Perera and V. M. Patel, “Quickest intrusion detection in mobile active user authentication,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016. (pdf)
  7. U. Mahbub, S. Sarkar, V. M. Patel, and R. Chellappa, “Active user authentication for smartphones: a challenge data set and benchmark results,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016. (pdf) [Best Poster Award]
  8. J-C. Chen, A. Kumar, R. Ranjan, V. M. Patel, A. Alavi, and R. Chellappa, “A cascaded convolutional neural network for age estimation of unconstrained faces,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016. (pdf)
  9. X. Di and V. M. Patel, “Deep tattoo recognition,” IEEE Computer Society Workshop on Biometrics in Conjunction with CVPR 2016, Las Vegas, NV, 2016. (pdf)
  10. J-C. Chen, J. Zheng, V. M. Patel, R. Chellappa, “Fisher vector encoded deep convolutional features for unconstrained face verification,” IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016. (pdf)
  11. U. Mahbub, V. M. Patel, D. Chandra, B. Barbello, and R. Chellappa, “Partial face detection for continuous authentication,” IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016. (pdf)
  12. A. Ghosh, V. M. Patel, and M. A. Powers, “Computational agile beam LADAR imaging,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016. (pdf)
  13. S. Sarkar, V. M. Patel, and R. Chellappa, “Deep feature-based face detection on mobile devices,” IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Sendai, Japan, 2016. (pdf)
  14. J-C. Chen, V. M. Patel, and R. Chellappa, “Unconstrained face verification using deep CNN features,” IEEE Winter conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016. (pdf)
  15. S. Sengupta, J-C. Chen, C. Castillo, V. M. Patel, R. Chellappa, and  D. Jacobs, “Frontal to profile face verification in the wild,” IEEE Winter conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016. (pdf)

2015

  1. R. Ranjan, S. Zhou,
    J-C. Chen, A. Kumar, A. Alavi, V. M. Patel, and R. Chellappa,
    “Unconstrained age estimation with deep convolutional neural networks,”
    IEEE International Conference on Computer Vision (ICCV) workshop on ChaLearn Looking at People (ChaLearn LaP), Santiago, Chile, 2015. (pdf)
  2. J-C. Chen, R. Ranjan,
    A. Kumar, C-H. Chen, V. M. Patel, and R. Chellappa, “An end- to-end
    system for unconstrained face verification with deep convolutional
    neural networks,” IEEE International Conference on Computer Vision (ICCV) workshop on ChaLearn Looking at People (ChaLearn LaP), Santiago, Chile, 2015. (pdf)
  3. X. Gibert-Serra, V. M.
    Patel, and R. Chellappa, “Sequential score adaptation with extreme
    value theory for robust railway track inspection,” IEEE
    International Conference on Computer Vision (ICCV) workshop on Computer
    Vision for Road Scene Understanding and Autonomous Driving (CVRSUAD), Santiago, Chile, 2015. (pdf)
  4. R. Ranjan, V. M. Patel, and R. Chellappa, “A deep pyramid deformable part model for face detection,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, 2015. (pdf) [Best Poster Award]
  5. P. Samangouei, V. M. Patel, and R. Chellappa, “Attribute-based continuous user authentication on mobile devices,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, 2015. (pdf)[Best Paper Award(Bronze)]
  6. J-C. Chen, S Sankaranrayanan, V. M. Patel, and R. Chellappa, “Unconstrained face
    verification using Fisher vectors computed from frontalized faces,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, 2015. (pdf)
  7. V. M. Patel and M. A. Powers, “Structured representation-based robust agile-beam LADAR imaging,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  8. H. Zhang, V. M. Patel, and R. Chellappa, “Multitask multivariate common
    sparse representations for robust multimodal biometrics recognition,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  9. G. Warnell, V. M. Patel, and R. Chellappa, “Integrability-regularized phase unwrapping via sparse error correction,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  10. S. Sankaranarayanan, V. M. Patel, and R. Chellappa, “3D facial model synthesis using coupled dictionaries,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  11. J-C. Chen, V. M. Patel, and R. Chellappa, “Landmark-based Fisher vector representation for video-based face verification,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  12. X. Gibert-Serra, V. M. Patel, and R. Chellappa, “Material classification and semantic segmentation of railway track images with deep convolutional neural networks,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf) [Top 10% Award]
  13. C-H. Chen, V. M. Patel and R. Chellappa, “Matrix completion for resolving label ambiguity,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015. (pdf)
  14. H. Zhang, V. M. Patel and R. Chellappa, “Robust multimodal recognition via multitask multivariate low-rank representations,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljublijana, Slovenia, 2015. (pdf)
  15. H. Zhang, V. M. Patel, S. Shekhar and R. Chellappa, “Domain adaptive sparse representation-based classification,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljublijana, Slovenia, 2015. (pdf)
  16. M. E. Fathy, V. M. Patel and R. Chellappa, “Face-based active authentication on mobile devices,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, 2015. (pdf)
  17. H. Zhang, V. M. Patel, M. E. Fathy  and R. Chellappa, “Touch gesture-based active user authentication using dictionaries,” IEEE Winter conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, 2015. (pdf)
  18. X. Gibert-Serra, V. M. Patel and R. Chellappa, “Robust fastener detection for autonomous visual railway track inspection,” IEEE Winter conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, 2015. (pdf)

2014

  1. A. Shrivastava, J. K. Pillai, V. M. Patel and R. Chellappa, “Dictionary-based multiple instance learning,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf)
  2. J-C Chen, V. M. Patel, H. T. Ho and R. Chellappa, “Dictionary-based video face recognition using dense multi-scale facial landmark features,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf) [Top 10% Award]
  3. S. Shekhar, V. M. Patel and R. Chellappa, “Analysis sparse coding models for image-based classification,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf)
  4. V. M. Patel and R. Vidal, “Kernel sparse subspace clustering,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf)
  5. E. Vasiete, Y. Chen, I. Char, T. Yeh, V. M. Patel, L. Davis and R. Chellappa, “Toward a non-intrusive, physio-behavioral biometric for smartphones,” ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), Toronto, Canada, 2014. (pdf)
  6. H. V. Nguyen and V. M. Patel, “Max residual classifier,” IEEE Winter conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, 2014. (pdf)
  7. Y-C. Chen, V. M. Patel, R. Chellappa and P. J. Phillips, “Adaptive representations for video-based face recognition across pose,” IEEE Winter conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, 2014. (pdf)
  8. A. Shrivastava, S. Shekhar, and V. M. Patel, “Unsupervised domain adaptation using parallel transport on Grasmann manifold,” IEEE Winter conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, 2014.  (pdf)

2013

  1. V. M. Patel, H. V. Nguyen and R. Vidal, “Latent space sparse subspace clustering,” International Conference on Computer Vision (ICCV), Sydney, Australia, 2013. (pdf)
  2. Y-C. Chen, V. M. Patel, J. K. Pillai, R. Chellappa and P. J. Phillips, “Dictionary learning from ambiguously labeled data,” IEEE conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013. (pdf)
  3. S. Shekhar, V. M. Patel, H. V. Nguyen and R. Chellappa, “Generalized domain adaptive dictionaries,” IEEE conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013. (pdf)
  4. V. M. Patel, Q. Qiu, and R. Chellappa, “Dictionaries for image-based recognition,” Information Theory and Applications Workshop (ITA), San Diego, CA, 2013. (pdf)
  5. V. M. Patel, A. S. Hedden and J. N. Mait, “Computational imaging with a confocal 220-GHz electronically scanned reflectarray,”IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting (AP-S/USNC-URSI), Lake Buena Vista, FL, 2013.
  6. Y-C. Chen, V. M. Patel,
    S. Shekhar, R. Chellappa and P. J. Phillips, “Video-based face
    recognition via joint sparse representation,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Shanghai, China, 2013. (pdf)

2012

  1. A. Shrivastava, H. V. Nguyen, V. M. Patel, and R. Chellappa, “Design of non-linear
    discriminative dictionaries for image classification,” Asian Conference on Computer Vision (ACCV), Daejeon, Korea, 2012.  (pdf)
  2. Q. Qiu, V. M. Patel, P. Turaga, R. Chellappa, “Domain adaptive dictionary learning,” European Conference on Computer Vision (ECCV), Florence, Italy, 2012. (pdf)
  3. H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Sparse embedding: a framework for sparsity promoting dimensionality reduction,” European Conference on Computer Vision (ECCV), Florence, Italy, 2012. (pdf)
  4. Y-C. Chen, V. M. Patel, P. J. Phillips and R. Chellappa, “Dictionary-based face recognition from video,” European Conference on Computer Vision (ECCV), Florence, Italy, 2012. (pdf)
  5. S. Shekhar, V. M. Patel, N. M. Nasrabadi and R. Chellappa, “Joint sparsity-based robust multimodal biometrics recognition,”European Conference on Computer Vision (ECCV) Workshop on Information Fusion in Computer Vision for Concept Recognition (IFCVCR), Florence, Italy, 2012. (pdf)
  6. A. Shrivastava, J. K. Pillai, V. M. Patel, R. Chellappa, “Learning discriminative dictionaries with partially labeled data,” IEEE International Conference on Image Processing (ICIP), Orlando, FL, 2012. (pdf)
  7. Y-C. Chen, V. M. Patel, R. Chellappa and P. J. Phillips, “Salient view selection based on sparse representation,” IEEE International Conference on Image Processing (ICIP), Orlando, FL, 2012. (pdf)
  8. G. R. Easley, D. Labate and V. M. Patel, “Hyperbolic shearlets,” IEEE International Conference on Image Processing (ICIP), Orlando, FL, 2012. (pdf)
  9. A. Mehmood, V. M. Patel, and R. Damarla, “Discrimination of bipeds from quadrupeds using seismic footstep signatures,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 2012. (pdf)
  10. V. M. Patel and J. N. Mait, “Passive millimeter-wave imaging with extended depth of  field and sparse data,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. (pdf)
  11. H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Kernel dictionary learning,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. (pdf)
  12. Y-C. Chen, C. S. Sastry, V. M. Patel, P. J. Phillips and R. Chellappa, “Rotation
    invariant simultaneous clustering and dictionary learning,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. (pdf)

2011

  1. V. M. Patel and R. Chellappa, “Sparse representations, compressive sensing and dictionaries for pattern recognition,” Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011. (pdf)
  2. S. Shekhar, V. M. Patel, and R. Chellappa, “Synthesis-based recognition of low resolution faces,” International Joint Conference on Biometrics (IJCB), Washington DC, 2011. (pdf)
  3. V. M. Patel, G. R. Easley, and R. Chellappa, “Multilayered Image representation-based compressive SAR imaging,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting (AP-S/USNC-URSI), Spokane , WA, 2011. (Invited)
  4. V. M. Patel, T. Wu, S. Biswas, P. J. Phillips, and R. Chellappa, “Illumination robust dictionary-based face recognition,” IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (pdf)
  5. V. M. Patel, G. R. Easley, and R. Chellappa, “Component-based restoration of speckled images,” IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (pdf)
  6. G. R. Easley, D. Labate and V. M. Patel, “Multi-composite wavelet estimation,” in Wavelets and Sparsity XIV, San Diego, CA, 2011. (pdf)

2010

  1. V. M. Patel, R.
    Chellappa and M. Tistarelli, “Sparse representations and random
    projections for robust and cancelable biometrics,” International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2010. (Invited). (pdf)
  2. V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Automatic target recognition based on simultaneous sparse representation,” IEEE International Conference on Image Processing (ICIP), Hong Kong, 2010. (pdf)
  3. J. Ni, P. Turaga, V. M. Patel, and R. Chellappa, “Object dependent manifold priors for image deconvolution,” Digital Image Processing and Analysis (DIPA), Tucson, AZ, 2010. (pdf)
  4. V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Sparsity inspired automatic target recognition,” Defense, Security and Sensing, Proceedings of SPIE, Orlando, FL, 2010. (link)
  5. V. M. Patel, G. R. Easley, and R. Chellappa, “Multiscale directional filtering of noisy InSAR phase images,” Defense, Security and Sensing, Proceedings of SPIE, Orlando, FL, 2010. (Invited). (link)
  6. J. Pillai, V. M. Patel, R. Chellappa and N. K. Ratha, “Sectored random projections for cancelable iris biometrics,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, TX, 2010. (pdf)

2009

  1. J. Pillai, V. M. Patel and R. Chellappa, “Sparsity inspired selection and recognition of iris images,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington, DC, 2009. (pdf)
  2. V. M. Patel, G. R. Easley, R. Chellappa and D. M. Healy, Jr., “Enhancing sparsity using gradients for compressive sensing,” IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009. (pdf)
  3. V. M. Patel, G. R. Easley, D. M. Healy, Jr., and R. Chellappa, “Compressed sensing for synthetic aperture radar imaging,” IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009. (pdf)
  4. G. R. Easley, V. Patel, and D. M. Healy, Jr., “Inverse halftoning using a shearlet representation,” in Wavelets XIII, San Diego, CA, 2009. (Invited). (pdf)

2008

  1. V. M. Patel, G. R. Easley, and D. M. Healy, Jr., “A new multiresolution generalized directional filter bank design and application in image enhancement,” IEEE International Conference on Image Processing (ICIP), San Diego, CA, 2008. (pdf)

2007

  1. G. R. Easley, V. Patel, and D. M. Healy, Jr., “An M-channel directional filter bank compatible with the contourlet and shearlet frequency tiling,” in Wavelets XII, San Diego, CA, 2007. (pdf)