Publications

Journal Papers

  1. Y. Klein, R. Djaldetti, Y. Keller, I. Bachelet, Motor dysfunction and touch-slang in user interface data Motor dysfunction and touch-slang in user interface data”. Scientific Reports, Accepted.

  2. S. Mahpod and Y. Keller, “Kinship verification using a hybrid distance learning network”. Submitted.

  3. O. Sendik and Y. Keller, “DeepAge: Deep Learning of face-based age estimation”. Submitted.

  4. S. Gepshtein and Y. Keller, “Iterative Spectral Independent Component Analysis”. Submitted.

  5. Y. Yeminy, S. Gannot and Y. Keller, “Single Microphone Speech Separation by Diffusion-based HMM estimation”. EURASIP Journal on Audio Speech and Music Processing. vol. 2016, no. 1.

  6. A. Heimowitz and Y. Keller. “Image Segmentation via Probabilistic Graph Matching”. in IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4743-4752, Oct. 2016.

  7. Victor May, Yosi Keller, Nir Sharon, and Yoel Shkonisky. œAn algorithm for improving non-local means operators via low-rank approximation. in IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1340-1353, March 2016. BibTex.

  8. Tal Darom and Yosi Keller, “œAutomatic group registration of meshes by weighted spectral synchronization“. Submitted.

  9. Tomer Stern, Rona Aviram, Chagai Rot, Tal Galili, Amnon Sharir, Noga Kalish Achrai, Yosi Keller, Ron Shahar and Elazar Zelzer, “Isometric scaling in developing long bones is achieved by an optimal epiphyseal growth balance“. PLOS Biology, vol 13, August 2015. BibTex.

  10. S. Gepshtein, Y. Keller, “œSensor Network Localization by Augmented Dual Embedding“.  Signal Processing, IEEE Transactions on , vol.63, no.9, pp.2420-2431, May, 2015. BibTex.

  11. U. Shusterman and Y. Keller, “œAutomatic Large Margin Music Genre Classification in Local Diffusion Spaces“. Submitted.

  12. Septimus, A.; Keller, Y.; Bergel, I., “œA Spectral Approach to Inter-Carrier Interference Mitigation in OFDM Systems“. IEEE Transactions on Communications, vol.62, no.8, pp.2802,2811, Aug. 2014. BibTex.

  13. S. Haber and Y. Keller, “œA probabilistic graph-based framework for multi-cue visual tracking“. IEEE Transactions on Image Processing,vol.23, no.5, pp.2291-2301, May 2014. BibTex.

  14. S. Gepshtein and Y. Keller, “œImage completion by diffusion maps and spectral relaxation“. Image Processing, IEEE Transactions on , vol.22, no.8, pp. 2983-2994, 2013BibTex.

  15. Y. Keller, “œA probabilistic approach to Integer Least Squares and MIMO decoding“. Submitted.

  16. A. Egozi, Y. Keller and H. Guterman, “œA probabilistic approach to spectral graph matching“.  IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 1, pp. 18-27, Jan. 2013.BibTex. Supplemental Material.

  17. Tal Darom and Yosi Keller, “œScale Invariant Features for 3D Mesh Models“. Image Processing, IEEE Transactions on , vol.21, no.5, pp.2758-2769, May 2012. BibTex.

  18. Y. Keller and Y. Gur, “œA Diffusion Approach to Network Localization“. IEEE Transactions on Signal Processing, vol.59, no.6, pp.2642-2654, June 2011.BibTex

  19. A. Bermanis, A. Averbuch and Y. Keller, “œ3-D Symmetry Detection using the Pseudo-Polar Fourier Transform“. International Journal of Computer Vision, Vol. 90, No. 2, pp. 166-182, 2010.BibTex.

  20. M. Chertok and Y. Keller, “œEfficient high order matching“. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 2205-2215, December, 2010. BibTex

  21. M. Chertok and Y. Keller, “œSpectral Symmetry Analysis“. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 32, No. 7, pp. 1227-1238, 2010. BibTex

  22. Egozi, Y. Keller and H. Guterman, “œImproving Shape retrieval by Spectral Matching and Meta Similarity“. IEEE  Transactions on Image Processing, Vol. 19, No. 5, pp. 1319 ““ 1327, 2010.BibTex

  23. Y. Keller, S. Lafon, R. R. Coifman and  Steven Zucker “œAudio-Visual Group Recognition using Diffusion Maps“. IEEE Transactions on Signal Processing, Vol. 58, No. 1, pp. 403- 413, 2010.BibTex.

  24. Y. Keller, A. Averbuch“œFast motion estimation using third order gradient methods“. Computer Vision and Image Understanding, Vol. 109, No. 3, pp. 244-259 , 2008. BibTex

  25. Y. Keller, A. Averbuch“œA Projection-Based Extension of the Phase Correlation Method“ , Signal Processing , Volume 87, Issue 1 , January 2007, Pages 124-133.BibTex

  26. Y. Keller, A. Averbuch, Implicit similarity: “œMultisensor Image Registration via Implicit Similarity“, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 28, No. 5, pp. 794-801, 2006. BibTex

  27. Y. Keller and Y. ShkolniskyA. Averbuch“œVolume Registration Using the 3-D Pseudopolar Fourier Transform“. IEEE Transactions on Signal Processing, Vol. 54, No. 11, pp. 4323- 4331, 2006.BibTex

  28. S. Lafon, Y. Keller and R. R. Coifman“œData fusion and multi-cue data matching by diffusion maps“. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 28, No. 11, pp. 1784- 1797, 2006.BibTex

  29. Y. Keller and Y. Shkolnisky“œA Signal Processing Approach to Symmetry Detection“. IEEE Transactions on Image Processing, Vol. 15, No. 8, pp. 2198- 2207, 2006.BibTex

  30. Y. Keller, A. Averbuch, M. Israeli, “œPseudo-polar based estimation of large translations rotations and scalings in images“, IEEE Transactions on Image Processing. Vol. 14, No. 1, pp. 12- 22, 2005. BibTex

  31. Y. Keller and Y. ShkolniskyA. Averbuch“œThe angular difference function and its application to image registration“. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 6, pp. 969-976, 2005. BibTex

  32. Y. Keller, A. Averbuch“œFast motion estimation using bidirectional gradient methods“, IEEE Transactions on Image  Processing. Vol. 13, No. 8, pp. 1042- 1054, 2004. BibTex

  33. Y. Keller, A. Averbuch,  “œFast gradient methods based global motion estimation for video compression“,  IEEE Transactions on Circuits and System for Video Technology, Vol. 13, No. 4, pp. 300-309, 2003. BibTex

 

Book Chapters

  1. M. Chertok, Y. Keller, “œSpectral Symmetry Analysis“., In “œStudies in Computational Intelligence“, 2012, Volume 386, Computational Intelligence Paradigms in Advanced Pattern Classification, Pages 113-144“, edited by Marek R. Ogiela. Springer-Verlag, 2011.

 

Conference Papers

  1.  Jiwen Lu, Junlin Hu, Liong, V.E.; Xiuzhuang Zhou; Bottino, A., Ul Islam, I., Figueiredo Vieira, T., Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Mahpod, S., Keller, Y., Lilei Zheng; Idrissi, K., Garcia, C., Duffner, S., Baskurt, A., Castrillon-Santana, M., Lorenzo-Navarro, J. “The FG 2015 Kinship Verification in the Wild Evaluation”, 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015, vol.1, pp.1-7, 4-8 May 2015.

  2. Tal Darom, Yaniv Gur, Chen Hajaj, Yosi Keller, “œAutomatic Anatomical Shape Correspondence and Alignment Using Mesh Features“, International Symposium on Biomedical Imaging (ISBI), 2015.

  3.  T. Darom and Y. Keller, “Spectral Analysis Driven Sparse Matching of 3D Shapes“,5th Eurographics Workshop on 3D Object Retrieval 2012, May 13, 2012, Cagliari, Italy.

  4. SHREC 2011: robust feature detection and description benchmark, Edmond Boyer, Alexander Bronstein, Michael Bronstein, Benjamin Bustos, T. Darom, Radu Horaud, Ingrid Hotz, Y. Keller, Johannes Keustermans, Artiom Kovnatsky, Roee Litman, Jan Reininghaus, Ivan Sipiran, Dirk Smeets, Paul Suetens, Dirk Vandermeulen, Andrei Zaharescu, and V. Zobel. Workshop on 3D Object Retrieval (3DOR) at Eurographics, pages 71-78, 2011.

  5. Yochay Yeminy, Sharon Gannot and Yosi Keller, “œSpeech Enhancement Using a Multidimensional Mixture-Maximum Model“, International Workshop on Acoustic Echo and Noise Control (IWAENC), Tel- Aviv, Israel, Aug. 2010.

  6. Edo Liberty, Moshe Almagor, Steven Zucker, Yosi Keller, and Ronald Coifman.“œScoring Psychological Questionnaires using Geometric Harmonics“. Snowbird Learning workshop 2007.

  7. R. Coifman, Y. Keller, S. Lafon, M. Maggioni, A. Szlam, F. Warner and S. W Zucker, “œGeometries of sensor outputs, inference and information processing“. Warner and Steven W. Zucker, Geometries of sensor outputs, inference, and information processing, in Proc. SPIE, edited by Intelligent Integrated Microsystems; Ravindra A. Athale, John C. Zolper; Eds., Vol. 6232 (2006), pp. 623209.

  8. Y. Keller, N. Peled, A. Averbuch, and Y. Shkolnisky, “œOptical Snow Analysis Using the 3D-Xray Transform“. In Proc. of SIAM Conference on Imaging Science (IS06), Minneapolis, Minnesota, USA, May 2006.

  9. Y. Keller, S. Lafon and M. Krauthammer, “œProtein clusters analysis via directed diffusion“. The Fifth Georgia Tech International Conference on Bioinformatics, Georgia, USA, November 2005.

  10. Y. Keller, A. Averbuch, “œRobust Image alignment using third-order global motion estimation“. British Machine Vision Conference (BMVC), Oxford, UK, September 2005.

  11. Y. Keller, Y. Shkolnisky and A. Averbuch, “œAccurate Multi-Dimensional Alignment“, International Conference on Image Processing (ICIP) 2005, Genova, Italy, , vol.3, pp.III-1052-5, September 2005.

  12. Y. Keller, Y. Shkolnisky and A. Averbuch, “A œnon Cartesian FFT approach to image alignment“. International Conference on Image Processing (ICIP) 2005, vol.3, pp.50-53, Genova, Italy, September 2005.

  13. Y. Keller, Y. Shkolnisky and A. Averbuch, “Algebraically Accurate Volume Registration using Euler's Theorem and the 3-D Pseudo-polar FFT”. In Proc. of CVPR'05, San-Diego, USA, June 2005.

  14. A. Elad, Y. Keller and R. Kimmel, “œTexture Mapping via Spherical Multi-Dimensional Scaling“, In Proceedings of the 5th International Conference on Scale Space Methods and PDE methods in Computer Vision, Hofgeismar, Germany, April 7-9, 2005.

  15. Y. Keller, A. Averbuch “œPseudo-polar based estimation of large translations rotations and scalings in images“, In Proceedings of the IEEE Workshop on Motion and Video Computing, Breckenridge, Colorado, January 2005.

  16. Y. Keller, A. Averbuch “œRobust Phase Correlation“, In Proc. of 17th International Conference On Pattern Recognition (ICPR2004), Cambridge, UK, August 2004.

  17. Y. Keller, Y. Shkolnisky “œAn algebraic approach to symmetry detection“, In Proc. of 17th International Conference On Pattern Recognition (ICPR2004), Cambridge, UK, August 2004.

  18. Y. Keller, Y. Shkolnisky, M. Israeli, A. Averbuch “œAlgebraically Accurate Rotation Estimation“, In Proc. of SIAM Conference on Imaging Science (IS04), Salt Lake City, USA, May 2004.

  19. O. Miller, A. Averbuch, and Y. Keller, “œAutomatic Adaptive Segmentation of Moving Objects Based on Spatio-Temporal Information“, In Proc. of DICTA2003, Sydney, Australia, December 2003

  20. O. Miller, A. Averbuch, and Y. Keller, “œUnsupervised Segmentation of Moving MPEG Blocks Based on Classification of Temporal Information“, In Proc. of DICTA2003, Sydney, Australia, December 2003.

  21. Y. Keller, A. Averbuch, “œFast global motion estimation for MPEG-4 video compression“, PACKET VIDEO 2003, Nantes, France, April 2003.

  22. Y. Keller, A. Averbuch, “œImplicit similarity: a new approach to multi-sensor image registration“, In Proc. of CVPR“™03, Madison, USA, June 2003.

  23. Y. Keller, A. Averbuch, “œEfficient Global Motion Estimation for MPEG4 Video Compression“. The 22nd IEEE Conference in Israel, Tel-Aviv, December 2002.

  24. Y. Keller, A. Averbuch, “œRobust Multi-Sensor Image Registration Using Pixel Migration“, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) 2002, Washington D.C., USA. August 2002

  25. Y. Keller, A. Averbuch, “œImage Registration Using Parametric surfaces and Pixel Diffusion“,  International Conference on Curves and Surfaces, Saint-Malo France, 2002

  26. Y. Keller, A. Averbuch, “œFast gradient methods based global motion estimation for video compression“ International Conference on Image Processing (ICIP) 2002, Rochester, USA, September 2002

  27. Y. Keller, A. Averbuch, “œFast motion estimation using bidirectional gradient methods“ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2002, Orlando, USA, May 2002

  28. Y. Keller, A. Averbuch,  FFT based image registration, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2002, Orlando, USA, May 2002

 

Ph.D Thesis

Advanced image registration techniques. Supervisors: Amir Averbuch, Hanoch Ur. Tel Aviv University

M.Sc Thesis

Efficient operator inversion for image processing. Supervisors: Amir Averbuch, Hanoch Ur. Tel Aviv University.