Other Publications

[Journal Publications] [Conference and Workshop Publications]

Journal Publications:

• Djamila Aouada, Hamid Krim : Squigraphs for Fine and Compact modeling of 3-D Shapes. IEEE Transactions on Image Processing 19(2) : 306-321(2010)
• Sajjad Baloch, Hamid Krim : Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant subgraph Isomorphisms. IEEE Transactions on Image Processing 19(5) : 1191-1200(2010)
• Ping-Feng Chen, Hamid Krim, Olga L. Mendoza : Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images. IEEE Transactions on Image Processing 19(7) : 1706-1719 (2010)
• Oleg V. Poliannikov, Elena Zhizhina, Hamid Krim : Global Optimization by Adapted Diffusion. IEEE Transactions on Signal Processing 58(12) : 6119 – 6125 (2010)
• Djamila Aouada, Hamid Krim : Novel similarity invariant for space curves using turning angles and its application to object recognition. ICASSP 2009 : 1277-1280
• Ping-Feng Chen, R. Grant Steen, Anthony J. Yezzi, Hamid Krim : Brain MRI T1-Map and T1-weighted image segmentation in a variational framework. ICASSP 2009 : 417-420
• Sheng Yi, Hamid Krim : Capturing human activity by a curve. ICIP 2009 : 3561-3564
• Djamila Aouada, Hamid Krim : Meaningful 3D shape partitioning using Morse functions. ICIP 2009 : 417-420
• Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid Krim : A Shearlet Approach to Edge Analysis and Detection. IEEE Transactions on Image Processing 18(5) : 929-941 (2009)
• Ping Feng Chen, R Grant Steen, Anthony J. Yezzi, Hamid Krim : Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration. Int. J. Biomedical Imaging 2009 : (2009)
• Ping-Feng chen, Hamid Krim : Determining canonical views of 3D object using minimum description length criterion and compressive sensing method. Computational Imaging 2008 : 68140
• Djamila Aouada, Hamid Krim : 3D object recognition using fully intrinsic skeletal graphs. Computational Imaging 2008 : 681409
• Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid Krim : Edge detection and processing using shearlets. ICIP 2008 : 1148 – 1151
• Haytham Yaghi, Hamid Krim : Probabilistic graph matching by canonical decomposition. ICIP 2008 : 2368 – 2371
• Shuo Feng, Irina A. Kogan, Hamid Krim : classification of curves in 2D and 3D via affine integral signatures. CoRR abs/0806. 1984 : (2008)
• Shuo Feng, Djamila Aouada, Hamid Krim, Irina A. Kogan : 3D Mixed Invariant and its Application on Object Classification. ICASSP(1) 2007 : 461-464
• Sajjad Baloch, Hamid Krim : Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Smapling. IEEE Transaction on Image Processing 16(2) : 317-328(2007)
• Feng, S.; Krim, H.; Gu, I.; Viberg, M.. 3D Face Recognition using Affine Integral Invariants Signature.. Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on , vol.2, no., pp.II-II, 14-19 May 2006.
• Feng, S.; Krim, H.; Kogan, I. A.. 3D Face Recognition using Euclidean Integral Invariants Signature.. Statistical Signal Processing, 2007. SSP ’07. IEEE/SP 14th Workshop on , vol., no., pp.156-160, 26-29 Aug. 2007.
• Baloch, S. H.; Krim, H.. Flexible skew symmetric shape model: learning, classification and sampling. Image Processing, IEEE Transactions on , vol.16, no.2, pp.317-328, Feb. 2007.
• Baloch, S. H.; Krim, H.. 2D shape modeling using skeletal graphs in a Morse theoretic framework. Statistics and Analysis of Shapes, pp.61-80, 2006.
• Baloch S., Krim H., and Genton M.. Shape representation with flexible skew-symmetric distributions and their Applications: A Journey Beyond Normality. 2004
• Y. Bao and H. Krim; Smart Nonlinear Diffusion: A Probabilistic Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence,  vol. 6 ,  Issue 1, pp. 63-72,  January 2004.
• Y. He, A. Ben Hamza,  H. Krim. A Generalized Divergence Measure for Robust Image Registration. IEEE Transactions on Signal Processing, vol. 51, no. 5, pp. 1211-1220, May 2003.
• Karacali, B.; Krim, H.. Fast minimization of structural risk by nearest neighbor rule. Neural Networks, IEEE Transactions on, Volume: 14 Issue: 1 , Jan. 2003 pp. 127 -137.
• Unal, G.; Krim, H.; Yezzi, A.. Stochastic differential equations and geometric flows. Image Processing, IEEE Transactions on, vol. 11 Issue: 12 , Dec. 2002 pp. 1405 -1416.
• Hero, A.O.; Krim, H.. Mathematical methods in imaging. Signal Processing Magazine, IEEE , Volume: 19 Issue: 5, Sept. 2002, Page(s): 13 -14.
• A. Ben Hamza,  H. Krim,  G.B. Unal. Unifying Probabilistic and Variational Estimation. IEEE Signal Processing Magazine, pp. 37-47, September 2002 .
• Feng, S.; Krim, H.; Gu, I.; Viberg, M.. 3D Face Recognition using Affine Integral Invariants Signature. Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on , vol.2, no., pp.II-II, 14-19 May 2006.
• Feng, S.; Krim, H.; Kogan, I. A.. 3D Face Recognition using Euclidean Integral Invariants Signature. Statistical Signal Processing, 2007. SSP ’07. IEEE/SP 14th Workshop on , vol., no., pp.156-160, 26-29 Aug. 2007.
• Baloch, S. H.; Krim, H.. Flexible skew symmetric shape model: learning, classification and sampling. Image Processing, IEEE Transactions on , vol.16, no.2, pp.317-328, Feb.2007.
• Baloch, S. H.; Krim, H.. 2D shape modeling using skeletal graphs in a Morse theoretic framework. Statistics and Analysis of Shapes, pp.61-80, 2006.
• Baloch S., Krim H., and Genton M.. Shape representation with flexible skew-symmetric distributions and their Applications: A Journey Beyond Normality. 2004.
• Y. Bao and H. Krim. Smart Nonlinear Diffusion:;A Probabilistic Approach.IEEE Transactions on Pattern Analysis and Machine Intelligence,; vol. 6 ,; Issue 1, pp. 63-72,; January 2004.
• Benazza-Benyahia, A.; Pesquet, J.-C.; Krim, H..
  A nonlinear diffusion-based three-band filter bank.Signal Processing Letters IEEE, vol. 10 , Dec. 2003. pp. 360 -363.
• Y. He, A. Ben Hamza,;H. Krim. A Generalized Divergence Measure for Robust Image Registration. IEEE Transactions on Signal Processing, vol. 51, no. 5, pp. 1211-1220, May 2003.
• Karacali, B.; Krim, H.. Fast minimization of structural risk by nearest
  neighbor rule. Neural Networks, IEEE Transactions on, Volume: 14 Issue: 1 , Jan. 2003 pp. 127 -137.
• Unal, G.; Krim, H.; Yezzi, A.. Stochastic differential equations and geometric flows. Image Processing, IEEE Transactions on, vol. 11 Issue: 12 , Dec. 2002 pp. 1405 -1416.
• Hero, A.O.; Krim, H.. Mathematical methods in imaging.Signal Processing Magazine, IEEE, Volume: 19 Issue: 5, Sept. 2002, Page(s): 13-14.
• A. Ben Hamza,; H. Krim,; G.B. Unal.. Unifying Probabilistic and Variational Estimation.IEEE Signal Processing Magazine, pp. 37-47, September 2002.
• Ben Hamza, A.; Krim, H.. Image denoising: a nonlinear robust statistical approach. IEEE Transactions on Signal Processing, Vol. 49 Issue: 12 , Dec. 2001, pp. 3045-3054
• I. Pollak; A.S. Willsky; H. Krim.. Image segmentation and edge enhancement with stabilized inverse diffusion equations. IEEE Transactions on Image Processing, Vol. 9 Issue: 2 , Feb. 2000, pp. 256-266.
• Krim, H.; Tucker, D.; Mallat, S.; Donoho, D.. On denoising and best signal representation. IEEE Transactions on Information Theory, Vol. 45 , Nov. 1999, pp.
  2225-2238.
• Krim, H.; Willinger, W.; Juditski, A.; Tse, D.. Introduction To The Special Issue On Multiscale Statistical Signal Analysis And Its Applications. Information Theory, IEEE Transactions on , Volume: 45 Issue: 3 , April 1999 Page(s): 825 -827.
• Kim, A.; Krim, H.. Hierarchical stochastic modeling of SAR imagery for segmentation/compression. IEEE Transactions on Signal Processing, Vol. 47 Issue: 2 , Feb. 1999, Page(s): 458-468.
• Krim, H.; Schick, I.C.. Minimax description length for signal denoising and optimized representation. IEEE Transactions on Information Theory, Vol. 45, April 1999, pp. 898-908.
• Fosgate, C.H.; Krim, H.; Irving, W.W.; Karl, W.C.; Willsky, A.S.. Multiscale segmentation and anomaly enhancement of
  SAR imagery. IEEE Transactions on Image Processing, Vol. 6 Issue: 1 , Jan. 1997, pp. 7-20
• Krim, H.; Viberg, M.. Two decades of array signal processing research:the parametric approach. IEEE Signal Processing Magazine , Vol.: 13 Issue: 4 , July 1996 , pp. 67-94.

Conference and Workshop Publications:

• Sheng Yi, Hamid Krim, Larry K. Norris. Human Activity Modeling on Shape Manifold. 3DOR 2011:105-112
• Sheng Yi, Hamid Krim, Larry K. Norris. A invertible dimension reduction of curves on a manifold. ICCV Workshop 2011 1378-1385.
• Deokwoo Lee, Hamid Krim. A Sampling Theorem for a 2D Surface. SSVM 2011: 556-567
• Sheng Yi, Hamid Krim, Larry K. Norris. : Human Activity Modeling as Brownian Motion on Shape Manifold. SSVM 2011: 628-639
• Shun Miao, Hamid Krim. Robustness and expression independence in 3D face recognition. SiPS 2011: 289-292
• Sheng Yi, Hamid Krim, Larry K. Norris. A Invertible Dimension Reduction of Curves on a Manifold. CoRR abs/1108.0007: (2011)
• Harish Chintakunta, Hamid Krim. Topological Fidelity in Sensor Networks. CoRR abs / 1106.6069 (2011)
• Deokwoo Lee, Hamid Krim : 3D Surface Reconstruction Using Structured Circular Light Patterns. ACIVS(1) 2010 : 279-289
• Shun Miao, Hamid Krim : 3D face recognition based on evolution of iso-geodesic distance curves : ICASSP 2010 : 1134-1137
• Ang V.N.Che, Griff L. Bilbro, Hamid Krim, Mohamed El Badaoui, Francois Guillet : A novel approach to decompose a modulated broadband carrier. ICASSP 2010 : 5062-5065
• Djamila Aouada, Yuliy Baryshni, Hamid Krim : Mahalanobis-based Adaptive Nonlinear Demension Reduction. ICPR 2010 : 742-745
• Harish Chintakunta, Hamid Krim : Divide and Conquer : Localizing Coverage Holes in Sensor Networks. SECON 2010 : 359 – 366
• Ping-Feng Chen, Hamid Krim, and Olga L. Mendoza. Exploring approaches to layered image registration. Proc. SPIE 6961, 69610J (2008)
• Ping-Feng Chen and Hamid Krim. Determining canonical views of 3D object using minimum description length criterion and compressive sensing method. Proc. SPIE 6814, 68140R (2008)
• Djamila Aouada and Hamid Krim. 3D object recognition using fully intrinsic skeletal graphs. Proc. SPIE 6814, 681409 (2008)
• Feng, S.; Aouada, D.; Krim, H.; Kogan, I.. 3D Mixed Invariant and its Application on Object Classification. Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on , vol.1, no., pp.I-461-I-464, 15-20 April 2007.
• Aouada, D.; Shuo FEng; Krim, H.. Statistical Analysis of the Global Geodesic Function for 3D Object Classification. Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on , vol.1, no., pp.I-645-I-648, 15-20 April 2007.
• Sajjad Baloch and Hamid Krim. Graph-based 3D object classification. Proc. SPIE 6065, 606505 (2006)
• Baloch, S.H.; Krim, H.; Genton, M.G.. Robust independent component analysis. Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on , vol., no., pp.61-64, 17-20 July 2005
• Baloch S., Krim H., Kogan I. and Zenkov D.. 3D OBJECT REPRESENTATION WITH TOPO-GEOMETRIC SHAPE MODELS. EUSIPCO’05
• Baloch, S.H.; Krim, H.; Mio, W.; Srivastava, A.. 3D curve interpolation and object reconstruction. Image Processing, 2005. ICIP 2005. IEEE International Conference on , vol.2, no., pp. II-982-5, 11-14 Sept. 2005.
• Baloch, S.; Krim, H.; Kogan, I.; Zenkov, D.. Rotation invariant topology coding of 2D and 3D objects using Morse theory. Image Processing, 2005. ICIP 2005. IEEE International Conference on , vol.3, no., pp. III-796-9, 11-14 Sept. 2005.
• Baloch S., and Krim H.. Classification and sampling of shapes through semiparametric skewsymmetric shape model. EUSIPCO’04 (2004).
• Sajjad,B; Krim, H.. Semiparemetric skew-symmetric shape
  modelling.ICASSP Proceddings 2004, Volume II, page(s):525-528;
• Sajjad,B; Krim, H.. Semi-parametric skew distributions in shape representation. Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, 2004, Volume I, page(s):307-311.
• Gunduz, A.; Krim, H.. Facial feature extraction using topological methods. Image Processing, 2003. Proceedings. 2003 International Conference on, Volume: 1, Sept. 14-17, 2003, Page(s): 673-676.
• Gunduz, A.; Krim, H.; Sadowski, P.A.. Compression and transmission of facial images over
  very narrowband wireless channels.Acoustics, Speech, and Signal Processing, 2003. Proceedings. Volume: 5 , 2003, Page(s): V_704-V_707
• Ben Hamza, A.; Krim, H.. Jensen-renyi divergence measure: theoretical and
  computational perspectives. Information Theory, 2003. Proceedings. IEEE International Symposium on, June 29 – July 4, 2003, Page(s): 257 -257
• Mehta, V.K.; Hammock, C.M.; Fieguth, P.W.; Krim, H.. Data fusion of SSM/I channels using multiresolution wavelet transform. Geoscience and Remote Sensing Symposium, 2002. IGARSS ’02. 2002 IEEE International, Volume: 4 , 24-28 June 2002, Page(s): 2421-2423
• Unal, G.; Krim, H.; Yezzi, A.. A vertex-based representation of objects in an image. Image Processing. 2002. Proceedings. 2002 International Conference on, Volume: 1 , 22-25 Sept. 2002, Page(s): I-896-I-899.
• Poliannikov, O.V.; Krim, H.; On identification of discrete symmetric planar shapes from a single view. Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on, Volume: 1, Nov. 3-6, 2002,Page(s): 473-477
• Krim, H.; Yufang Bao. A stochastic diffusion approach to signal denoising. Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE. 16-17 March 2000, Page(s): 236-239