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Journal Articles

  1. F. Chen, C. Zhu, Z. Shen, H. Zhang and M. Savvides, “NCMS: Towards Accurate Anchor Free Object Detection through 2 Norm Calibration and Multi-Feature Selection”, Computer Vision and Image Understanding (CVIU), July 2020.

  2. Z. Shen, M. Huang, J. Shi, Z. Liu, H. Maheshwari, Y. Zheng, X. Xue, M. Savvides, and T.S. Huang, "CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection", International Journal of Computer Vision (IJCV), 2020.

  3. C. N. Duong, K. G. Quach, K. Luu, Ngan T.H. Le, M. Savvides, T.B. Dai, ”Learning from Longitudinal Face Demonstration—Where Tractable Deep Modeling Meets Inverse Reinforcement Learning”, International Journal of Computer Vision (IJCV), 2019.

  4. R. Abiantun, F. Juefei-Xu, U. Prabhu, and M. Savvides, "SSR2: Sparse signal recovery for single-image super- resolution on faces with extreme low resolutions", Pattern Recognition, vol. 90, pp 308-324, 2019.

  5. T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides, "Deep Contextual Recurrent Residual Networks for Scene Labeling”, Pattern Recognition, vol. 80, pages 32-41, Jan. 2018.

  6. T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Chi Nhan Duong and M. Savvides, "Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation", IEEE Transactions on Image Processing (TIP), vol. 27(5), pages 2393-2407, Jan 2018.

  7. K. Luu, M. Savvides, T.D. Bui and C.Y. Suen, "Compressed Submanifold Multifactor Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39 (3), pages 444-456, March 2017.

  8. T. Hoang Ngan Le, C. Zhu, Y. Zheng, K. Luu, and M. Savvides, "DeepSafeDrive: A Grammar-aware Driver Parsing Approach to Driver Behavioral Situational Awareness (DB-SAW)", Pattern Recognition, vol. 66, pages 229-238, June 2017.

  9. T. Hoang Ngan Le, K. Luu, C. Zhu and M. Savvides, "Semi Self-Training Beard/Moustache Detection and Segmentation Simultaneously", Image and Vision Computing, vol. 58, pages 214-223, 2017.

  10. F. Juefei-Xu and M. Savvides, “Multi-class Fukunaga Koontz Discriminant Analysis for Enhanced Face Recognition”, Pattern Recognition, vol. 52, pages 186–205, Apr 2016.

  11. T. Hoang Ngan Le, and M. Savvides, "A Novel Shape Constrained Feature-based Active Contour (SC-FAC) Model for Lips/Mouth Segmentation in the Wild", Pattern Recognition, vol. 54, pages 23-33, June 2016.

  12. K. Seshadri and M. Savvides, “Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, pages 2110-2122, Oct 2016.

  13. F. Juefei-Xu, K. Luu, and M. Savvides, “SPARTANS: Single-sample Periocular-based Alignment-robust Recognition Technique Applied to Non-frontal Scenarios”, IEEE Transactions on Image Processing (TIP), vol. 24(12), pages. 4780–4795, Dec 2015.

  14. T.H. Ngan Le, K. Seshadri, K. Luu and M. Savvides, "Facial Aging and Asymmetry Decomposition Based Approaches to Identification of Twins", Pattern Recognition, vol. 48(12), pages 3843–3856, Dec 2015.

  15. R. Abiantun, U. Prabhu, and M. Savvides, “Sparse Feature Extraction for Pose-Tolerant Face Recognition”,IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36(10), pages 2061-2073, Oct 2014.

  16. F. Juefei-Xu and M. Savvides, “Subspace-based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST’s Face Recognition Grand Challenge”, IEEE Transactions on Image Processing, vol. 23(8), pages 3490-3505, Aug 2014.

  17. S. Venugopalan, M. Savvides, M.O. Griofa, and K. Cohen, “Analysis of Low-Dimensional Radio- Frequency Impedance-based Cardio-Synchronous Waveforms for Biometric Authentication”, IEEE Transactions on Biomedical Engineering, vol. 61(8), pages 2324-2335, Aug 2014.

  18. Yung hui Li and M. Savvides, “An Automatic Iris Occlusion Estimation Method Based on High- Dimensional Density Estimation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 35(4), pages 784– 796, 2013.

  19. T.H. Ngan Le, K. Luu, and M. Savvides, “SPARCLES: Dynamic l1 Sparse Classifiers with Level Sets for Robust Beard/Moustache Detection and Segmentation”, IEEE Transactions on Image Processing (TIP), vol. 22(8), pages 3097-3107, 2013.

  20. J. Heo and M. Savvides, “3-D Generic Elastic Models for Fast and Texture Preserving 2-D Novel Pose Synthesis”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 7(2), pages 563-576, 2012.

  21. J. Heo and M. Savvides, “Gender and Ethnicity specific Generic Elastic Models from a Single 2D image for Novel 2D Pose Face Synthesis and Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 34(12), pages 2341–2350, 2012.

  22. K. Seshadri and M. Savvides, “An Analysis of the Sensitivity of Active Shape Models to Initialization when applied to Automatic Facial Landmarking”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 7(4), pages 1255-1269, 2012.

  23. U. Prabhu, J. Heo, and M. Savvides, “Unconstrained Pose-Invariant Face Recognition using 3D Generic Elastic Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 33(10), pages 1952-1961, 2011.

  24. S. Venogopalan and M. Savvides, “How to Generate Spoofed Irises from an Iris Code template”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 6(2), pages 385-395, 2011.

  25. M. Savvides, K. Ricanek., D.L. Woodard, and G. Dozier, “Unconstrained Biometric Identification: Emerging Technologies”, IEEE Computer, vol. 43(2), pages 56–62, Feb 2010.

  26. S.W. Park and M. Savvides, “A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under varying Pose and Illumination”, EURASIP Journal of Advanced Signal Processing (JASP), 2010.

  27. S. Venogopalan and M. Savvides, “Unconstrained Iris Acquisition and Recognition using COTS PTZ camera”, EURASIP Journal of Advanced Signal Processing (JASP), 2010.

  28. S.W. Park and M. Savvides, “Individual Kernel Tensor-Subspaces for Robust Face Recognition: A Computationally Efficient Tensor Framework without requiring Mode Factorization”, IEEE Transactions on Systems, Man and Cybernetics, vol. 37(5), pages 1156–1166, Oct 2007.

  29. J. Thornton, M. Savvides, and B.V.K. Vijayakumar, “A Bayesian Approach to Deformed Pattern Matching of Iris Images”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 29(4), pages 596–606, April 2007.

  30. P. Hennings, B.V.K. Vijayakumar, and M. Savvides, “Palmprint Classification Using Multiple Advanced Correlation Filters and Palm-Specific Segmentation”, IEEE Transactions on Information Forensics and Security, vol. 2(3-2), pages 613–622, 2007.

  31. S. Mitra, M. Savvides, and A. Brockwell, “Statistical Performance Evaluation of Biometric Authentication Systems using Random Effects Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 29(9), pages 517-530, 2007.

  32. B.V.K. Vijayakumar, M. Savvides, and C. Xie, “Correlation Pattern Recognition for Face Recognition”,Proceedings of IEEE, vol. 94(11), pages 1963–1976, Nov 2006.

  33. S. Mitra, M. Savvides, and B.V.K. Vijayakumar, “Face Identification using Novel Frequency-domain Representation of Facial Asymmetry”, IEEE Transactions on Information Forensics and Security, vol. 1(3), pages 350-359, 2006.

  34. S.L. Wijaya, M. Savvides, and B.V.K. Vijayakumar, “Illumination-Tolerant Face Verification of Low- Bitrate Jpeg2000 Wavelet Images with Advanced Correlation Filters for Handheld Devices”, Applied Optics, vol. 44(5), pages 655–665, Feb 2005

  35. M. Savvides, B.V.K. Vijayakumar, and P. Khosla, “Two Class Minimax Distance Transform Correlation Filter”, Applied Optics, vol. 41(32), pages 6829–6840, Nov 2002.

 

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                                                                           CONFERENCE ARTICLES

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  1. R. Tao, Hao Chen, Marios Savvides, “Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2023).

  2. R. Tao, H. Zhang, Y. Zheng and M. Savvides, "Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling", Proceedings of the AAAI Conference on Artificial Intelligence, 36(8), 8467-8475, 2022.

  3. H. Phan, Z. Liu, D. Huynh, Z. Shen, K. Cheng and M. Savvides, “Binarizing MobileNet Via Evolution-based Searching”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13420-13429, June 2020.

  4. C. Zhu, F. Chen, Z. Shen and M. Savvides, "Soft Anchor-Point Object Detection", European Conference on Computer Vision (ECCV), 2020.

  5. Z. Liu, Z. Shen, M. Savvides, and K. Cheng, "ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions", European Conference on Computer Vision (ECCV), 2020

  6. D. Walawalkar, Z. Shen and M. Savvides, "Online Ensemble Model Compression using Knowledge Distillation",European Conference on Computer Vision (ECCV), 2020.

  7. D. Pal, A. Chawla and M. Savvides, "Learning Non-Parametric Invariances from Data with Permanent Random Connectomes", British Machine Vision Conference (BMVC), 2020.

  8. D. Pal, S. Nallamothu and M. Savvides, "Towards a Hypothesis on Visual Transformation based Self- Supervision", British Machine Vision Conference (BMVC), 2020.

  9. N. Le, K. Yamazaki, D. Truong, K.G. Quach and M. Savvides, “A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation”, International Conference on Pattern Recognition (ICPR), 2020.

  10. H. Phan, D. Huynh, Y. He, M. Savvides, and Z. Shen, "MoBiNet: A Mobile Binary Network for Image Classification", IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.

  11. Z. Shen and M. Savvides, "Meal v2: Boosting vanilla resnet-50 to 80%+ top-1 accuracy on imagenet without tricks", Neural Information Processing Systems (NeurIPS) workshop on Beyond Backprogation, 2020.

  12. D. Walawalkar, Z. Shen, Z. Liu and M. Savvides, “Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

  13. H. Zhang, F. Chen, Z. Shen, Q. Hao, C. Zhu and M. Savvides, “Solving Missing- Annotation Object Detection with Background Recalibration Loss”, International Conference on Acoustics, Speech, and Signal Processing, 2020.

  14. *C. Zhu, Y. He and M. Savvides, "Feature Selective Anchor-Free Module for Single-Shot Object Detection",IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  15. Y. He, C. Zhu, J. Wang, M. Savvides and X. Zhang, "Bounding Box Regression with Uncertainty for Accurate Object Detection ", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2888-2897, 2019.

  16. D. Pal and M. Savvides, "Non-Parametric Transformation Networks for Learning General Invariances from Data", Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, 2019.

  17. R. Aljadaany, D. Pal and M. Savvides. "Douglas-Rachford networks: Learning both the image prior and data fidelity terms for blind image deconvolution”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 10235-10244, 2019

  18. R. Aljadaany, D. Pal, and M. Savvides, "Proximal Splitting Networks for Image Restoration", International Conference on Image Analysis and Recognition (ICIAR), pages 3-17, 2019.

  19. Z. Shen, H. Shi, J. Yu, H. Phan, R. Feris, L. Cao, D. Liu, X. Wang, T. Huang, and M. Savvides, "Improving object detection from scratch via gated feature reuse", British Machine Vision Conference (BMVC), 2019.

  20. F. Chen, C. Zhu and M. Savvides, “A Novel Collaborative Control Strategy for Enhanced Training of Vehicle Recognition”, IEEE 90th Vehicular Technology Conference, pages 1-6, 2019.

  21. D. Pal, C. Bhagavatula, Y. Zheng, R. Tao, and M. Savvides, "Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching", IEEE Winter Conference on Applications of Computer Vision (WACV), pages 2058- 20, 2019.

  22. Z. Shen, H.Shi, J. Ju, H. Phan, R. Feris, L. Cao, D. Liu, X. Wang, T. Huang, and M. Savvides, “Improved Object Detection from Scratch Via Gate Feature Reused”, British Machine Vision Conference (BMVC), 2019.

  23. C. Zhu, R. Tao, K. Luu and M. Savvides, "Seeing Small Faces from Robust Anchor's Perspective”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  24. Y. Zheng, D. Pal, and M. Savvides, "Ring loss: Convex feature normalization for face recognition", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  25. C. Zhu, Y. Zheng, K. Luu and M. Savvides, "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", IEEE Conference on Automatic Face and Gesture Recognition (FG), 2018.

  26. T. Hoang Ngan Le, R. Gummadi and M. Savvides, “Deep Recurrent Level Set for Segmenting Brain Tumors”,MICCAI, pages 646-653, Sept 2018.

  27. Juefei-Xu, V. N. Boddeti, and M. Savvides, “Perburbative Neural Networks”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2018.

  28. F. Juefei-Xu, R. Dey, V.N. Boddeti, and M. Savvides, "Rankgan: A Maximum Margin ranking GAN for generating faces", Asian Conference on Computer Vision, pages 3-18, 2018.

  29. I. Alkanhal, B.V.K. Vijaya Kumar and M. Savvides, "Automatic seizure detection via an optimized image-based deep feature learning", 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 536-540, 2018.

  30. C.N. Duong, K.G. Quach, K. Luu, T. Hoang Ngan Le, and M. Savvides, "Temporal Non- Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", Proceedings of the IEEE Conference on Computer Vision (ICCV), 2017.

  31. *C. Bhagavatula, C. Zhu, K. Luu, M. Savvides, "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", IEEE International Conference on Computer Vision (ICCV), pages 4000-4009, 2017.

  32. F. Juefei-Xu, V. N. Boddeti, and M. Savvides, “Local Binary Convolutional Neural Networks”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.

  33. D. Pal, A.A. Kannan, G. Arakalgud and M. Savvides, “Max-margin invariant features from transformed unlabelled data”, Advances in Neural Information Processing Systems, pages 1438–1446, 2017.

  34. F. Juefei-Xu and M. Savvides, “LAW: Locality-Aware Whitening”, IEEE International Conference on Image Processing (ICIP), pages 1–5, Sept 2017.

  35. T. Hoang Ngan Le, K.G. Quach, C. Zhu, C.N. Duong, K. Luu and M. Savvides, "Robust Hand Detection and Classification in Vehicles and in the Wild", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), pages 1203-1210, 2017.

  36. C. Bhagavatula, F. Juefei-Xu, J. Wang, and M. Savvides, “Three Birds, One Stone: Simultaneous Object Detection, Recognition, and Profiling Using Phase Encoded MACE Filters”, IEEE International Conference on Image Processing (ICIP), pages 1–5, Sept 2017.

  37. T. Hoang Ngan Le, C. Zhu, Y. Zheng, K. Luu and M. Savvides, "Robust Hand Detection in Vehicles ",International Conference on Pattern Recognition (ICPR), pages 573-578, 2017.

  38. K. Luu, Y. Zheng, C. Zhu, T.H.N. Le, C. Bhagavatula, M. Savvides, “Towards a Deep Learning Framework for Unconstrained Face Detection”, IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), pages 1-8, 2016.

  39. F. Juefei-Xu and M. Savvides, "Fastfood Dictionary Learning for Periocular-Based Full Face Hallucination", IEEE 8th International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1-6, 2016. Best Student Paper Award.

  40. L. Han, T. Hoang Ngan Le and M. Savvides, "Automatic Cells Detection and Segmentation", SPIE Medical Imaging, 2016.

  41. F. Juefei-Xu and M. Savvides, “Learning to Invert Local Binary Patterns”, British Machine Vision Conference (BMVC), Sept 2016.

  42. F. Juefei-Xu, E. Verma, P. Goel, A. Cherodian, and M. Savvides, “DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Network with Attention”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 136–145, June 2016.

  43. D. K. Pal, F. Juefei-Xu, and M. Savvides, “Discriminative Invariant Kernel Features: A Bells-and-Whistles- Free Approach to Unsupervised Face Recognition and Pose Estimation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5590–5599, June 2016.

  44. C. Zhu, Y. Zheng, K. Luu, T.H.N. Le, C. Bhagavatula, M. Savvides, "Weakly Supervised Facial Analysis with Dense Hyper-Column Features", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 93-101, 2016.

  45. T. H. Ngan-Le, Y. Zheng, C. Zhu, K. Luu, and M. Savvides, "Multiple scale faster-rcnn approach to driver's cell- phone usage and hands on steering wheel detection", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 46-53. 2016.

  46. C. Bhagavatula, R. Aljadaany, M. Savvides, "Pose estimation using Spectral and Singular Value Recomposition",23rd International Conference on Pattern Recognition (ICPR), pages 4095-4100, 2016.

  47. C. Bhagavatula, B. Ur, K. Iaccovino, S. Mon Kywe, L. Cranor, and M. Savvides, "Biometric Authentication on iPhone and Android: Usability, Perceptions, and Influences on Adoption”, Workshop on Usable Security (USEC), 2015.

  48. K. Singh, K. Luu, T. Hoang Ngan Le and Marios Savvides, “A Robust Contour Sampling and Tensor- Based Approach to Facial Beard and Mustache Shape Segmentation and Matching”, International Conference on Image Processing (ICIP), pages 1399-1403, 2015.

  49. P. Buchana, I. Cazan, M. Diaz-Granados, F. Juefei-Xu, and M.Savvides, “Simultaneous Forgery Identification and Localization in Paintings Using Advanced Correlation Filters”, IEEE International Conference on Image Processing (ICIP), pages 1–5, Sept 2016.

  50. M. Savvides, F. Juefei-Xu, U. Prabhu, and C. Bhagavatula, “Unconstrained Biometric Identification in Real World Environments”, Advances in Human Factors and System Interactions, vol. 497, pages 231–244, July 2016.

  51. N. Zehngut, F. Juefei-Xu, R. Bardia, D. K. Pal, C. Bhagavatula and M. Savvides, "Investigating the feasibility of image-based nose biometrics", IEEE International Conference on Image Processing (ICIP), pages 522- 526, 2015.

  52. R. Aljadaany, K. Luu, S. Venugopalan, and M. Savvides, “Iris super-resolution via nonparametric over-complete dictionary learning”, IEEE International Conference Image Processing (ICIP), pages 3856-3860, 2015.

  53. F. Juefei-Xu and M. Savvides, “Pokerface: Partial Order Keeping and Energy Repressing Method for Extreme Face Illumination Normalization”, IEEE Seventh International Conference on Biometrics: Theory, Applications, and Systems (BTAS), pages 1–8, Sept 2015.

  54. F. Juefei-Xu, D. Pal, and M. Savvides, “NIR-VIS Heterogeneous Face Recognition via Cross-Spectral Joint Dictionary Learning and Reconstruction”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 141–150, June 2015.

  55. S. Venugopalan, F. Juefei-Xu, B. Cowley, and M. Savvides, “Electromyograph and Keystroke Dynamics for Spoof-Resistant Biometric Authentication”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 109–118, June 2015.

  56. F. Juefei-Xu and M. Savvides, “Single Face Image Super-Resolution via Solo Dictionary Learning”, IEEE International Conference on Image Processing (ICIP), pages 2239–2243, Sept 2015.

  57. K. Seshadri, F. Juefei-Xu, D. Pal, and M. Savvides, “Driver Cell Phone Usage Detection on Strategic Highway Research Program (SHRP2) Face View Videos”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 35–43, June 2015.

  58. F. Juefei-Xu and M. Savvides, “Facial Ethnic Appearance Synthesis”, European Conference on Computer Vision Workshops (ECCVW), 2014.

  59. F. Juefei-Xu and M. Savvides, “Pareto-optimal Discriminant Analysis”, IEEE International Conference on Image Processing (ICIP), pages 611–615, Sept 2015.

  60. F. Juefei-Xu and M. Savvides, “Encoding and Decoding Local Binary Patterns for Harsh Face Illumination Normalization”, IEEE International Conference on Image Processing (ICIP), pages. 3220–3224, Sept 2015.

  61. F. Juefei-Xu and M. Savvides, “Weight-Optimal Local Binary Patterns”, European Conference on Computer Vision Workshops (ECCVW), 2014.

  62. F. Juefei-Xu, D. K. Pal, K. Singh, and M. Savvides, “A Preliminary Investigation on the Sensitivity of COTS Face Recognition Systems to Forensic Analyst-style Face Processing for Occlusions”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 25–33, June 2015.

  63. T. Hoang Ngan Le, K. Luu and M. Savvides, "Fast and Robust Self-Training Beard/Moustache Detection and Segmentation", International Conference on Biometrics (ICB), pages 1-8, 2015.

  64. K. Luu, C. Zhu, and M. Savvides, “Distributed Class Dependent Feature Analysis: A Big Data Approach”,IEEE International Conference on Big Data (Big Data), pages 201-206, Oct 2014.

  65. F. Juefei-Xu and M. Savvides, “Facial ethnic appearance synthesis”, European Conference on Computer Vision(ECCV) Workshop on Soft Biometrics, pages 148-159, Sept 2014.

  66. F. Juefei-Xu and M. Savvides, “Weight-optimal Local Binary Patterns”, European Conference on Computer Vision(ECCV) Workshop on Computer Vision, page 825-840, Sept 2014.

  67. T.H.N. Le, U. Prabhu, and M. Savvides, “A Novel Eyebrow Segmentation and Eyebrow Shape-Based Identification”,IEEE International Joint Conference on Biometrics (IJCB), pages 1-8, Sept 2014.

  68. F. Juefei-Xu, D.K. Pal, and M. Savvides, “Hallucinating the Full Face from the Periocular Region via DimensionallyWeighted K-SVD”, IEEE Conference on Computer Vision and Pattern Recognition (CVPRW) Biometrics Workshop, pages 1-8, June 2014.

  69. F. Juefei-Xu and M. Savvides, “An Augmented Linear Discriminant Analysis Approach for Identifying Identical Twins with the aid of Facial Asymmetry Features”, Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPRW), pages 56-63, 2013.

  70. F. Juefei-Xu and M. Savvides, “An Image Statistics Approach Towards Efficient and Robust Refinement for Landmarks on Facial Boundary”, IEEE International Conference on Biometrics, Theory, Applications and Systems (BTAS), pages 1-8, September 2013.

  71. T. H. N. Le, K. Luu, K. Seshadri, and M. Savvides, “A Facial Aging Approach to Identification of Identical Twins”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1– 8, September 2012.

  72. S. Bendapudi, K. Luu, and M. Savvides, “Hallucinating Faces in the Dark”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 311–318, 2012. Best Student Paper Award.

  73. C. Bhagavatula, A. Jaech, M. Savvides, B. V. K. Vijayakumar, R. Friedman, R. Blue, and M. O. Griofa, “Automatic Segmentation of Cardiosynchronous waveforms using Cepstral analysis and Continuous Wavelet Transforms, IEEE International Conference on Image Processing (ICIP), pages 2045–2048, 2012.

  74. M. Bhagavatula, M. Savvides, B.V.K. Vijayakumar, R. Friedman, R. Blue, and M.O. Griofa, “Second degree Correlation Surface Features from Optimal Trade-Off Synthetic Discriminant Function Filters for Subject Identification using Radio Frequency Cardiosynchronous Waveforms”, IEEE International Conference on Image Processing (ICIP), pages 269–272, 2012.

  75. F. Juefei-Xu, C. Bhagavatula, A. Jaech, U. Prasad, and M. Savvides, “Gait-ID on the Move: Pace Independent Human Identification using Cell Phone Accelerometer Dynamics”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 8–15, 2012.

  76. F. Juefei-Xu and M. Savvides, “Unconstrained Periocular Biometric Acquisition and Recognition using COTS PTZ camera for Uncooperative and Non-cooperative Subjects”, IEEE Workshop on Application of Computer Vision (WACV), pages 201–208, 2012.

  77. T.H.N. Le, K. Luu, U. Prabhu, and M. Savvides, “A Novel Energy based Filter for Cross-Blink Eye Detection”,IEEE International Conference on Image Processing (ICIP), pages 1845–1848, 2012.

  78. K. Luu, T.H.N. Le, K. Seshadri, and M. Savvides, “FaceCut - A Robust Approach for Facial Feature Segmentation”, IEEE International Conference on Image Processing (ICIP), pages 1841–1844, 2012.

  79. K. Luu, M. Savvides, T.D. Bui, and C.Y. Suen, “Compressed Submanifold Multifactor Analysis with Adaptive Factor Structures”, IEEE International Conference in Pattern Recognition (ICPR), pages 2715– 2718, 2012.

  80. K. Seshadri T.H.N. Le, K. Luu and M. Savvides, “Beard and Mustache Segmentation using Sparse Classifiers on Self-Quotient Images”, IEEE International Conference on Image Processing (ICIP), pages 165– 168, 2012.

  81. K. Luu, Y. Xie and M. Savvides, “A Robust Approach to Facial Ethnicity Classification on Large Scale Databases”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 143–149, 2012

  82. R. Abiantun, U. Prabhu, K. Seshadri, Heo J, and M. Savvides, “An Analysis of Facial Shape and Texture for Recognition: A Large Scale Evaluation on FRGC ver 2.0”, IEEE Workshop on Application on Computer Vision (WACV), pages 212–219, 2011.

  83. M.O. Griofa, R.S. Blue, R. Friedman, P. Hamski, M. Bhagavatula, A. Jaech, S. Hu, and M. Savvides, “Preliminary Feasibility Analysis of Remote Subject Identification during Hemodynamic Monitoring by Radio Frequency Impedance”, IEEE International Conference on Engineering in Medicine and Biology Society (EMBC), pages 2590–2593, 2011.

  84. J. Heo and M. Savvides, “Generic 3D Face Pose Estimation Using Facial Shapes”, IEEE International Joint Conference on Biometrics (IJCB), pages 1–8, 2011.

  85. J. Heo and M. Savvides, “Rapid 3D Face Modeling using a Frontal Face and a Profile Face for Accurate 2D Pose Synthesis”, IEEE International Conference on Face and Gesture, pages 632–638, 2011.

  86. S. Y. D. Hu, B. Jou, A. Jaech, and M. Savvides, “Fusion of Region-based Representations for Gender Identification”, IEEE International Joint Conference on Biometrics (IJCB), pages 1–7, 2011.

  87. F. Juefei-Xu, K. Luu, M. Savvides, T. D. Bui, and C. Y. Suen, “Investigating Age Invariant Face Recognition based on Periocular Biometrics”, IEEE International Joint Conference on Biometrics (IJCB), pages 1–7, 2011. Best Student Paper Award.

  88. K. Luu, K. Seshadri, M. Savvides, T. D. Bui, and C. Y. Suen, “Contourlet Appearance Model for Facial Age Estimation”, IEEE International Joint Conference on Biometrics (IJCB), pages 1–8, 2011.

  89. S. Park and M. Savvides, “Multifactor Analysis based on Factor-Dependent Geometry”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2817–2824, 2011.

  90. S. Park and M. Savvides, “The Multifactor Extension of Grassman Manifolds for Face Recognition”, IEEE International Conference on Automatic Face & Gesture Recognition, pages 464–469, 2011.

  91. S. Venugopalan, U. Prasad, K. Harun, K. Neblett, D. Toomey, J. Heyman, and M. Savvides, “Long Range Iris Acquisition System for Stationary and Mobile Subjects”, IEEE International Joint Conference on Biometrics (IJCB), pages 1–8, 2011.

  92. F. Juefei-Xu, M. Cha, J. L. Heyman, S. Venugopalan, R. Abiantun, and M. Savvides, “Robust Local Binary Pattern Feature sets for Periocular Biometric Identification”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1–8, 2010.

  93. J. Merkow, B. Jou, and M. Savvides, “An Exploration of Gender Identification using only the Periocular Region”, IEEE Biometrics: Theory Applications and Systems (BTAS), pages 1–5, 2010.

  94. S. Park and M. Savvides, “An Extension of Multifactor Analysis for Face Recognition based on Submanifold Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2645– 2652, 2010.

  95. U. Prabhu, K. Seshadri, and M. Savvides, “Automatic Facial Landmark tracking in video sequences using Kalman Filter assisted Active Shape Models”, 3rd Workshop on Human Motion in Conjunction with the European Conference on Computer Vision (ECCV), pages 86–99, 2010.

  96. N.A. Vandal and M. Savvides, “CUDA Accelerated Iris Template Matching on Graphical Processing Units (GPUs)”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1– 7, 2010. Best Student Paper Award.

  97. R.Abiantun and M. Savvides, “Dynamic 3-bin Real Adaboost using Biased Classifiers: An Application in Face Detection”, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), pages 1–6, 2009.

  98. N. Agrawal and M. Savvides, “Biometric data hiding: A 3-Factor Authentication approach to verify Identity with a Single Image using Steganography, Encryption and Matching”, IEEE Workshop on Biometrics in Computer Vision and Pattern Recognition (CVPR), pages 85–92, 2009. Best Student Paper Award.

  99. J. Heo and M. Savvides, “In between 3DAAMs and 3DMMs”, IEEE Workshop on Biometrics in Computer Vision and Pattern Recognition (CVPR), pages 20–26, 2009.

  100. Y. Li and M. Savvides, “Automatic Iris Mask refinement for high performance Iris Recognition”, IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications (CIB), pages 52–58, 2009.

  101. Y. Li and M. Savvides, “A Pixel-Wise, Learning-Based Approach for Occlusion Estimation of Iris Images in Polar Domain”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1357–1360, 2009. Best Student Paper Award

  102. P. Miller, S. Pundlik, D. Woodard, S. Venugopalan, and M. Savvides, “Exploiting Ocular Region Skin Texture for Biometric Identification”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2009.

  103. S.W. Park and M. Savvides, “The Multifactor Extension of ISOMAP for Face Recognition”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

  104. K. Seshadri and M. Savvides, “Robust Modified Active Shape Model for Automatic Facial Landmark Annotation of Frontal Faces”, IEEE International Conference on Biometrics: Theory, Application and Systems (BTAS), pages 1–8, 2009.

  105. S.W. Park and M. Savvides, “3D Face Reconstruction from a Single 2D Face Image”, IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 1–8, June 2008.

  106. T. Munemoto, Y. Li, and M. Savvides, “Hallucinating Irises: Dealing with Partial & Occluded Iris Regions”,IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 11–18, 2008.H. Lai, M. Savvides, and T. Chen, “Proposed FPGA Hardware architecture for High Frame Rate (>100 fps) Face Detection using Feature Cascade Classifiers”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1–6, September 2007.

  107. S. Mitra and M. Savvides, “Gaussian Mixture Models based on the Phase Spectra for Illumination Invariant Face Identification on the Yale database”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1–6, September 2007.

  108. J. Thornton, M. Savvides, and B.V.K. Vijayakumar, “An Evaluation of Iris Pattern Representations”, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1–6, September 2007.

  109. R. Kerekes, J. Thornton, B. Narayanaswamy, M. Savvides, and B.V.K. Vijayakumar, “Graphical Model approach to Iris Matching under Feformation and Occlusion”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1–6, June 2007.

  110. Y. Li and M. Savvides, “Extending Fukanaga-Koontz Transform to Multi-Class Problems with Class Adaptive Sub-Eigenspace Projection and Thresholding”, Multi-Biometrics Workshop, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.

  111. R. Bhagavatula and M. Savvides, “Analyzing Facial Images using Empirical Mode Decomposition for Illumination Artifact Removal and Improved Face Recognition”, International Conference on Acoustics,Speech and Signal Processing (ICASSP), pages 505–508, April 2007. Nominated Best Student Paper.

  112. S.W. Park and M. Savvides, “Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 573– 576, April 2007. Nominated for Best Student Paper.

  113. R. Abiantun, M. Savvides, and B.V.K. Vijayakumar, “Low Dimensional Feature Subspace for Robust Face Recognition on Unseen Datasets using Kernel Correlation Feature Analysis”, IEEE Conference Acoustics, Speech and Signal Processing (ICASSP), pages 1257–1260, 2007.

  114. Y. Li and M. Savvides, “Kernel Fukunaga-Koontz Transform Subspaces for Enhanced Face Recognition”, MultiBiometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1– 8, 2007.

  115. M. Savvides, J. Heo, R. Abiantun, S. Park, C. Xie and B.V.K. Vijayakumar, “Partial & Holistic Face Recognition of FRGC-II data using Support Vector Machine Kernel Correlation Feature Analysis”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 48-53, June 2006.

  116. C. Xie, M. Savvides, and B.V.K. Vijayakumar, “Comparison of Feature Space Methods for Face Recognition”, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 39- 46 June 2006.

  117. Y. Li, M. Savvides, and B.V.K. Vijayakumar, “Illumination Tolerant Face Recognition using a Novel Face from Sketch-Synthesis Approach with Advanced Correlation Filters”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 357–360, May 2006.

  118. S. Mitra and M. Savvides, “Improved Human Face Identification using Frequency Domain Representation of Facial Asymmetry”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2006.

  119. M. Savvides, J. Heo, R. Abiantun, C. Xie, S. Park, and B.V.K. Vijayakumar, “Class Dependent Kernel Discrete Cosine Transform Features for Enhanced Holistic Face Recognition in FRGC-II”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 14–19, May 2006.

  120. S. Mitra and M. Savvides, “Using Feature Combination and Statistical Re-sampling for Accurate Face Recognition based on Frequency Domain representation of Facial Asymmetry”, IEEE International Conference on Automatic Face and Gesture Recognition, pages 31–36, April 2006.

  121. J. Heo, M. Savvides, R. Abiantun, C. Xie, and B.V.K. Vijayakumar, “Face Recognition with Kernel Correlation Filters on a Large Scale Database”, IEEE Conference Acoustics, Speech and Signal Processing (ICASSP), pages 181–184, 2006.

  122. S.W. Park and M. Savvides, “Estimating Mixing Factors Simultaneously in Multilinear Tensor Decomposition for Robust Face Recognition and Synthesis”, Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPRW), 2006.

  123. J. Heo, M. Savvides, and B.V.K. Vijayakumar, “Performance Evaluation of Face Recognition using Visual and Thermal Imagery with Advanced Correlation Filters”, Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPRW), June 2005.

  124. C. Xie, M. Savvides, and B.V.K. Vijayakumar, “Redundant Class-Dependence Feature Analysis based on Correlation Filters Using FRGC 2.0 Data”, IEEE Workshop on Face Recognition Grand Challenge Experiments, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2005.

  125. S. Mitra and M. Savvides, “Quaternion Correlation Filters for Face Recognition in Wavelet Domain. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 953–956, March 2005.

  126. C. Xie, M. Savvides, and B.V.K. Vijayakumar, “Quaternion Correlation Filters for Face Recognition in Wavelet Domain”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 953–956, March 2005.

  127. S. Mitra, M. Savvides, and A. Brokwell, “The Role of Statistical Models in Biometric Authentication”,IEEE International Conference in Biometrics, volume 3832, pages 581–588, 2005.

  128. M. Savvides and B.V.K. Vijayakumar, “Cancellable Biometric Filters for Face Recognition”, IEEE International Conference on Pattern Recognition (ICPR), volume 3, pages 922–925, August 2004.

  129. M. Savvides, B.V.K. Vijayakumar, and P.K. Khosla, “Eigen Phases vs Eigenfaces”, IEEE International Conference on Pattern Recognition (ICPR), volume 3, pages 810–813, August 2004.

  130. M. Savvides, B.V.K. Vijayakumar, and P.K. Khosla. “‘COREFACES’ - Robust Shift Invariant PCA based Correlation Filter for Illumination Tolerant Face Recognition”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 834–841, July 2004.

  131. B.V.K. Vijayakumar, M. Savvides, K. Venkataramani, and C. Xie, “Spatial Frequency Domain Image Processing for Biometric Recognition”, IEEE International Conference on Image Processing (ICIP),   volume 1, pages 53–56, September 2002.

  132. M.O. Griofa, R.S. Blue, R. Friedman, A. Jaech, M. Bhagavatula, S.D. Hu, and M. Savvides, “Radio Frequency Cardiopulmonary Waveform for Subject Identification”, Asilomar Conference on Signals, Systems and Computers (ASILOMAR), pages 2152–2156, 2011.

  133. M. Savvides S. Bedros J. Xu, M. Cha and J. Trojanova, “Robust Periocular Biometric Recognition Using Multi-Level Fusion of Various Local Feature Extraction Techniques”, IEEE International Conference on Digital Signal Processing (DSP), pages 80–86, 2011.

  134. F. Juefei-Xu and M. Savvides, “Can your Eyebrows Tell me Who You Are?”, IEEE International Conference on Signal Processing and Communications Systems (ICSPCS), pages 1–8, 2011.

  135. N.A. Vandal and M. Savvides, “CUDA Accelerated Illumination Preprocessing on GPUs”, IEEE International Conference on Digital Signal Processing (DSP), pages 1–6, 2011.

  136. G.Dozier, K. Frederiksen, R. Meeks, M. Savvides, K. Bryant, D. Hopers, and T. Munemoto, “Minimizing the Number of Bits needed for Iris Recognition via Bit Inconsistency and GRIT”, IEEE Computational Intelligence in Biometrics: Theory, Algorithms and Applications, pages 30–37, 2009.

  137. Y. Li and M. Savvides, “Fast and Robust Probabilistic Inference of Iris Mask”, SPIE Defense and Security Symposium on Biometric Technology for Human Identification, 2009.

  138. J. Heo and M. Savvides, “Face Recognition Across Pose using View Based Active Appearance Models (VBAAMs) on CMU Multi-PIE Dataset”, International Conference on Computer Vision Systems (ICVS), volume 5008, pages 527–535, 2008.

  139. H. Lai, R. Marculescu, M. Savvides, and T. Chen, “Communication-Aware Face Detection using NOC Architecture”, International Conference on Computer Vision Systems (ICVS), volume 5008, pages 181–189, 2008.

  140. Y. Li, M. Savvides, and T. Chen, “Investigating Useful and Distinguishing Features around the Eyelash Region”, Applied Image Pattern Recognition Workshop, 37th Applied Imagery and Pattern Recognition Workshop (AIPR’08), pages 1–6, 2008.

  141. M. Savvides R. Abiantun, “Boosted Multi-Image Features for Improved Face Detection”, IEEE Applied Imagery Pattern Recognition (AIPR), pages 1–8, 2008.

  142. M. Savvides R. Abiantun, “Tear Duct Detector for Identifying Left versus Right Iris Images”, IEEE Applied Imagery Pattern Recognition (AIPR), pages 1–4, 2008.

  143. T. Trebaol and M. Savvides, “Fractal Encoding of Low Resolution Iris Imagery for Improved Matching”,IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1–4, 2008.

  144. J. Heo and M. Savvides, “Face Pose Correction with Eyeglasses and Occlusions Removal”, IEEE Biometric Symposium at the Biometric Consortium Conference (BCC), pages 1–6, September 2007.

  145. J. Heo and M. Savvides, “Multi-View Active Appearance Models for Pose Correction and Face Recognition”, IEEE Biometric Symposium at the Biometric Consortium Conference (BCC), September 2007.

  146. S.W. Park and M. Savvides, “Robust Super-Resolution Face Images by Iterative Compensating Neighborhood Relationships”, Proceedings of the Biometrics Symposium 2007 at the Biometric Consortium Conference (BCC), September 2007.

  147. R. Abiantun, M. Savvides, and B.V.K. Vijayakumar, “Robust Low Dimensional Kernel Correlation Feature Spaces that Generalize to Unseen Datasets”, Proceedings of the SPIE Defense and Security Symposium on Biometric Technology for Human Identification III, volume 6539, April 2007.

  148. R. Bhagavatula and M. Savvides, “Empirical-Mode Decomposition for Removal of Specular Reflections and Cast Shadow Effects”, Proceedings of the SPIE Defense and Security Symposium on Biometrics Identification Technologies, April 2007.

  149. J. Heo and M. Savvides, “Real-time Face Tracking and Pose Correction for Face Recognition Using Active Appearance Models”, Proceedings of the SPIE Defense and Security Symposium on Biometric Technology for Human Identification III, April 2007.

  150. J. Heo and M. Savvides, “Real-time Face Tracking and Pose Correction for Face Recognition Using Active Appearance Models”, Proceedings of the SPIE Defense and Security Symposium on Biometric Identification Technologies, volume 6539, April 2007.

  151. S.W. Park and M. Savvides, “Locality Preserving Projections as a new Manifold Analysis Approach for Robust Face Super-resolution”, SPIE Defense and Security Symposium on Biometric Identification Technologies, volume 6539, April 2007     

  152. C. Xie, M. Savvides, and B.V.K. Vijayakumar, “Correlation Filters for Large Population Face Recognition”, Proceedings of the SPIE Defense and Security Symposium on Biometric Technology for Human Identification III, volume 6539, April 2007.

  153. R. Abiantun, M. Savvides, and B.V.K. Vijayakumar, “Robust Low Dimensional Kernel Correlation Feature Spaces that Generalize to Unseen Datasets”, SPIE Defense & Security Symposium on Biometric Identification Technologies. (SPIE), 2007.

  154. R. Abiantun, M. Savvides, and B.V.K. Vijayakumar, “How Low Can You Go? Low Resolution Face Recognition Study Using Kernel Correlation Feature Analysis on FRGC Dataset”, Proceedings of the IEEE Biometrics Consortium Conference (BCC), pages 1–6, September 2006.

  155. S.W. Park and M. Savvides, “Individual Tensorface Subspaces for Efficient and Robust Face Recognition that do Not Require Factorization”, Proceedings of the Special Session on Research at the 2006 Biometrics Symposium at the Biometric Consortium Conference, pages 1–6, September 2006.

  156. J. Heo, M. Savvides, R. Abiantun, C. Xie, and B.V.K. Vijayakumar, “Large Scale Face Recognition with Kernel Correlation Feature Analysis with Support Vector Machine Distance Measure”, Proceedings of the 8th International Conference on Enterprise Information Systems (ICEIS), May 2006.

  157. Y. Li, M. Savvides, and B.V.K. Vijayakumar, “Face Recognition from Sketches using Advanced Correlation Filters Using Hybrid Eigenanalysis for Face Synthesis”, Proceedings of the 8th International Conference on Enterprise Information Systems (ICEIS), pages 11–18, May 2006.

  158. Y. Li and M. Savvides, “Faces from Sketches: A Subspace Synthesis Approach”, Proceedings of the SPIE Defense and Security Symposium on Biometric Identification Technologies, volume 6202, April 2006.

  159. M. Savvides, J. Heo, R. Abiantun, C. Xie, S. Park, and B.V.K. Vijayakumar, “Using Kernel Correlation Filters and Class Redundant Feature Analysis (CFA) with Support Vector Machines on Face Recognition Grand Challenge (FRGC) Phase-2 Data for Enhanced Holistic Face Recognition”, Proceedings of the SPIE Defense and Security Symposium on Biometric Identification Technologies, volume 6202, pages 48–57, April 2006.

  160. J. Thornton, M. Savvides, and B.V.K. Vijayakumar, “Enhanced Iris Matching Using Estimation of In lane Nonlinear Deformations”, Proceedings of the SPIE Defense and Security Symposium on Biometric Technology for Human Identification III, volume 6202, pages 135–145, April 2006.

  161. J. Heo, M. Savvides, and B.V.K. Vijayakumar, “Large Scale Face Recognition with Distance Measure in Support Vector Machine spaces”, Workshop on Pattern Recognition in Information Systems (PRIS), pages 15– 24, 2006.

  162. Y. Li, M. Savvides, and B.V.K. Vijayakumar, “Face Recognition from Sketches Using Advanced Correlation Filters Using Hybrid Eigen-Analysis for Face Synthesis”, 8th International Conference on Enterprise Information Systems (ICEIS), pages 11–18, 2006.

  163. S.W. Park and M. Savvides, “Tensor Factorization by Simultaneous Estimation of Mixing Factors for Robust Face Recognition and Synthesis”, International Workshop on Multimedia Content Representation, Classification and Security (MRCS), pages 143–150, 2006.

  164. M. Savvides, J. Heo, R. Abiantun, C. Xie, S. Park, and B.V.K. Vijayakumar, “Using Kernel Correlation Filters and Class Redundant Feature Analysis (CFA) with Support Vector Machines on Face Recognition Grand Challenge (FRGC) phase-2 data for Enhanced Holistic Face Recognition”, SPIE Defense & Security Symposium on Biometric Identification Technologies, 2006.

  165. R. Bhagavatula and M. Savvides, “PCA vs. Automatically Pruned Wavelet-Packet PCA for Illumination Tolerant Face Recognition”, IEEE Workshop on Automatic Identification Advanced Technologies (AutoID), pages 69–74, October 2005.

  166. S. Mitra and M. Savvides, “Gaussian Mixture Models based on Frequency Spectra for Human Identification and Illumination Classification”, IEEE Workshop on Automatic Identification Advanced Technologies (AutoID), pages 245–250, October 2005.

  167. C. Ng, M. Savvides, and P.K. Khosla, “Real-time Face Verification System on a Cell-phone using Advanced Correlation Filters”, IEEE Workshop on Automatic Identification Advanced Technologies (AutoID), pages 57–62, October 2005.

  168. P. Hennings, M. Savvides, and B.V.K. Vijayakumar, “Robust Multi-Biometric Verification Using Jointly Optimized Multi-Biometric Fusion Correlation Filter Classifiers”, Proceedings of the SPIE Defense and Security Symposium: Special Session on Biometric Identification Technologies, volume 5779, pages 205– 214, March 2005.

  169. S. Mitra, M. Savvides, and B.V.K. Vijayakumar, “Biometric Authentication based on Novel Frequency Domain Facial Asymmetry Measures”, Proceedings of the SPIE Defense and Security Symposium: Special Session on Biometric Identification Technologies, volume 5779, March 2005.

  170. C. Xie, M. Savvides, and B.V.K. Vijayakumar, “Improved Face Recognition using Multi-Band Gabor Quaternion Correlation Filters”, Proceedings of the SPIE Defense and Security Symposium: Special Session on Biometric Identification Technologies, volume 5779, March 2005

  171. P. Hennings, M. Savvides, and B.V.K. Vijayakumar, “Hiding Phase-Quantized Biometrics: A case of Steganography for Reduced-Complexity Correlation Filter Classifiers”, Proceedings of the SPIE Conference on Security, Steganography, and Watermarking of Multimedia, volume 5681, pages 465–473, January 2005.

  172. J. Thornton, M. Savvides, and B.V.K. Vijayakumar, “Linear Shift-Invariant Maximum Margin SVM Correlation Filter”, Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pages 183–188, December 2004.

  173. M. Savvides, B.V.K. Vijayakumar, and P.K. Khosla, “Efficient Boosting for Synthesizing A Minimally Compact Reduced Complexity Correlation Filter bank for Biometric Identification”, Proceedings of the ASILOMAR Conference on Signals, Systems and Computers, special session on Image Processing for Biometrics, volume 1, pages 587–591, November 2004.

  174. S.L. Wijaya, M. Savvides, and B.V.K. Vijayakumar, “The Effect of Low-Bit Rate JPEG000 Wavelet Images on Face Authentication using Advanced Correlation Filters”, Proceedings of the 38th ASILOMAR Conference on Signals, Systems and Computers, Special Session on Image Processing for Biometrics, volume 1, pages 592–596, November 2004.

  175. M. Savvides, B.V.K.Vijayakumar, and P.K. Khosla, “Authentication Invariant Cancelable Correlation Filters for Illumination Tolerant Face Recognition”, Biometric Technology for Human Identification (OR30) part of the SPIE International Symposium on Defense and Security, volume 5404, pages 156– 163, August 2004.

  176. M. Savvides, B.V.K. Viajayakumar, and P.K. Khosla, “Robust, Shift-Invariant Biometric Identification from Partial Face Images”, Biometric Technology for Human Identification (OR51) part of the SPIE International Symposium on Defense and Security, volume 5404, pages 124–135, August 2004.

  177. B. Yegnanarayana, A.K. Sao, B.V.K. Vijayakumar, and M. Savvides, “Determination of Pose Angle of Face using Dynamic Space Warping”, IEEE International Conference on Information Technology: Coding and Computing (ITCC), volume 1, pages 661–664, April 2004.

  178. M. Savvides, B.V.K. Vijayakumar, and P.K. Khosla, “Illumination Tolerant Face Recognition Using Advanced Correlation Filters trained from A Single Face Image”, IEEE Biometrics Symposium part of Biometrics Consortium Conference, 2004.

  179. M. Savvides, K. Venkataramani, and B.V.K. Vijayakumar, “Incremental Updating of Advanced Correlation Filters for Biometric Authentication Systems”, IEEE International Conference on Multimedia and Expo (ICME), Special Session on Signal Processing and Multimodal Biometric Verification, volume 3, pages 229– 232, July 2003.

  180. M. Savvides and B.V.K. Vijayakumar, “Efficient Design of Advanced Correlation Filters for Robust Distortion-Tolerant Face Identification. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), volume 21-22, pages 45–52, July 2003.

  181. B.V.K. Vijayakumar, K. Venkataramani, and M. Savvides, “Efficient Methods for Correlation-Based Automatic Target Recognition”, Proceedings of the SPIE, volume 4726, pages 183–192, April 2002.

  182. M. Savvides, B.V.K. Vijayakumar, and P.K. Khosla, “Face Verification using Correlation Filters”,Proceedings of the Third IEEE Automatic Identification Advanced Technologies, pages 56–61, March 2002.

  183. R. Kerekes, B. Narayanaswamy, M. Beattie, B.V.K. Vijayakumar, and M. Savvides, “Multi-Frame Distortion Tolerant Correlation Filtering for Video Sequences”, SPIE Proceedings on Unattended Ground Sensor Technologies and Applications (AeroSense 2000), volume 6245, pages 93–104, 2006.

  184. R. Kerekes, M. Savvides, and B.V.K.Vijayakumar, “Fractional Power Scale-Tolerant Correlation Filters For Enhanced Automatic Target Recognition Performance”, SPIE Defense and Security Symposium, Special Session on Automatic Target Recognition, volume 5807, pages 317–328, 2005.

  185. B.V.K. Vijayakumar, M. Savvides, C. Xie, K. Venkataramani, and J. Thornton, “Using Composite Correlation Filters for Biometric Authentication”, SPIE Proceedings on Optical Pattern Recognition, volume 5106, pages 13–21, 2003.

  186. M. Saptharishi, K. Bhat, C. Diehl, S. Oliver, M. Savvides, A. Soto, J.M Dolan, and P. Khosla, “Recent Advances in Distributed Tactical Surveillance”, SPIE Proceedings on Unattended Ground Sensor Technologies and Applications (AeroSense 2000), volume 4040, pages 199–208, April 2000.

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                                                         LECTURE NOTES IN COMPUTER SCIENCE

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  1. S. Mitra, M. Savvides, and B.V.K. Vijayakumar, “Human Face Identification from Video based on Frequency Domain Asymmetry Representation using Hidden Markov Models”, Lecture Notes in Computer Science, volume 4105, pages 26–33. Springer, 2006.

  2. R. Bhagavatula and M. Savvides, “Eigen and Fisher Fourier Magnitudes for Shift-invariant Pose-tolerant Face Recognition”, Lecture Notes in Computer Science, volume 3687, pages 351–359. Springer, 2005.

  3. P. Hennings, M. Savvides, and B.V.K. Vijayakumar, “Verification of Biometric Palm Print Patterns using Optimal Trade-off Filter Classifiers”, Lecture Notes in Computer Science, volume 3656, pages 1081–1088, Springer, 2005.

  4. J. Heo, M. Savvides, and B.V.K. Vijayakumar, “Advanced correlation filters for face recognition using low- resolution visual and thermal imagery. Lecture Notes in Computer Science, volume 3656, pages 1089– 1097, Springer, 2005.

  5. J. Heo, M. Savvides, and B.V.K. Vijayakumar, “Illumination Tolerant Face Recognition using Phase-Only Support Vector Machines in the Frequency Domain”, Lecture Notes in Computer Science, volume 3687, pages 66–73, Springer, 2005.

  6. S. Mitra, M. Savvides, and A. Brockwell, “Modeling Phase Spectra using Gaussian Mixture Models for Human Face Identification”, Lecture Notes in Computer Science, volume 3687, pages 174–182, Springer, 2005.

  7. S. Mitra, M. Savvides, and B. V. K. Vijayakumar, “Facial Asymmetry in Frequency Domain: The ‘Phase’ Connection”, Lecture Notes in Computer Science, volume 3776, pages 422–427, Springer, 2005.

  8. S. Mitra, M. Savvides, and B.V.K. Vijayakumar, “Facial Asymmetry in Frequency Domain: A New Robust Biometric”, Lecture Notes in Computer Science, volume 3656, pages 1065–1072, Springer, 2005.

  9. M. Savvides, C. Xie, N. Chu, B.V.K. Vijayakumar, C. Podilchuk, A. Patel, A. Harthattuand, and R. Mammone, “Robust Face Recognition Using Advanced Correlation Filters with Bijective-Mapping Preprocessing”, Lecture Notes in Computer Science, volume 3546, pages 607–616, Springer, 2005.

  10. J. Thornton, M. Savvides, and B.V.K. Vijayakumar, “Robust Iris Recognition Using Advanced Correlation Techniques”, Lecture Notes in Computer Science, volume 3656, pages 1098–1105, Springer, 2005.

  11. C. Xie, M.Savvides, and B.V.K. Vijayakumar, “Kernel Correlation Filter based Redundant Class- Dependence Feature Analysis (KCFA) on FRGC2.0 Data”, Lecture Notes in Computer Science, volume 3723, pages 32–43, Springer, 2005

  12. M. Savvides, J. Heo, J. Thornton, P. Hennings, C. Xie, K. Venkataramani, R. Kerekes, M. Beattie, and B.V.K. Vijayakumar, “Biometric Identification using Advanced Correlation Filter methods”, Lecture Notes in Computer Science, volume 43, pages 391–402, Springer, 2004.

  13. M. Savvides and B. V. K. Vijayakumar, “Illumination Normalization Using Logarithm Transforms for Face Authentication”, Lecture Notes in Computer Science, volume 2688, pages 549–556, Springer, 2003.

  14. M. Savvides and B. V. K. Vijayakumar, “Quad Phase Minimum Average Correlation Energy Filters for Reduced Memory Illumination Tolerant Face Authentication”, Lecture Notes in Computer Science, volume 2688, pages 19–26, Springer, 2003.

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