Publications

  1. R. Ferens, Y. Shavit and Y. Keller, “Learning Single and Multi-Scene Camera Pose with Transformer Encoders”. Accepted Computer Vision and Image Understanding. arXiv: 2103.11477.

  2. S. Dekel, Y. Keller, M. Cadık. “Estimating Extreme 3D Image Rotation with Transformer Cross-Attention”. arXiv: 2303.02615. IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. Acceptance rate of 23.6%.

  3. Y. Shavit, R. Ferens and Y. Keller "Coarse-to-Fine Multi-Scene Pose Regression with Transformers". IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 45, no. 12, pp. 14222-14233, Dec. 2023.

  4. S. Hiba and Y. Keller “Hierarchical Attention-based Age Estimation and Bias Estimation”. arXiv: 2103.09882. in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 45, no. 12, pp. 14682-14692, 2023.

  5. A. Moreshet and Y. Keller, “Paying Attention to Multiscale Feature Maps in Multimodal Image Matching”. Accepted Computer Vision and Image Understanding arXiv: 2103.11247.

  6. G. Shapria and Y. Keller FaceCoresetNet: Differentiable Coresets for Face Set Recognition”. The 38th AAAI Conference on Artificial Intelligence (AAAI-24). 23.75% acceptance rate..

  7. E. Dahan and Y. Keller, “Age-Invariant Face Embedding using the Wasserstein Distance”. Submitted. arXiv: 1908.05932.

  8. Y. Nirkin, Tal Hassner and Y. Keller, “FSGANv2: Better Subject Agnostic Face Swapping and Reenactment”. IEEE Transactions on Pattern Analysis and Machine Intelligence. Jan. 2023, pp. 560-575, vol. 45. arXiv: 1908.05932.

  9. S. Dekel, A. Bar-Hillel and Y. Keller, “Deep Convolutional Tables for Efficient Visual Classification” Accepted. IEEE Transactions on Neural Networks and Learning Systems.

  10. O. Idan, Y. Shavit, Yosi Keller*, Y. Keller. “Learning to Localize in Unseen Scenes with Relative Pose Regressors”. arXiv: 2303.02717.

  11. R. Ferens, Y. Keller. “HyperPose: Camera Pose Localization using Attention Hypernetworks”. arXiv: 2303.02610.

  12. T. Polaseka, M. Cadık, Y. Keller, B. Benes. “Vision UFormer: Long-Range Monocular Absolute Depth Estimation”. Computers & Graphics. Volume 111, April 2023, Pages 180-189.

  13. Y. Shavit and Y. Keller "Camera Pose Auto-Encoders for Improving Pose Regression". ECCV2022. pp 140–157.

  14. G. Azhari, S. Waldman, N. Ofer, Y. Keller, S. Carmi and G. Yaari, “Decomposition of individual SNP patterns from mixed DNA samples”. Forensic Sci. 2022, 2(3), 455-472.

  15. R. Bouzaglo and Y. Keller "Fingerprint Synthesis and Reconstruction using Generative Adversarial Networks". Submitted. arXiv:2201.06164.

  16. E. Dahan and Y. Keller "Improving Kinship Verification by Gender and Age Disentanglement". Submitted.

  17. Y. Shavit, R. Ferens and Y. Keller, “Learning Multi-scene Absolute Pose Regression with Transformers”. arXiv:2103.11468. ICCV 2021 Oral presentation (2.5% acceptance rate).

  18. Y. Nirkin, Tal Hassner, Y. Keller, and L. Wolf, “DeepFake Detection Based on Discrepancies Between Faces and their Context”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 10, pp. 6111-6121, 1 Oct. 2022. arXiv: 2008.12262.

  19. E. Ben Baruch and Y. Keller, “Joint Detection and Matching of Feature Points in Multimodal Images”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 10, 2022. pp. 6585–6593. arXiv: 1810.12941.

  20. S. Mahpod, R. Das, E. Maiorana, Y. Keller, and P. Campisi, “Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network”. Computer Vision and Image Understanding, Volume 205, 2021. arXiv: 1805.01760.

  21. E. Dahan and Y. Keller, "A Unified Approach to Kinship Verification," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 8, pp. 2851-2857, 1 Aug. 2021. arXiv: 2009.05871.

  22. N. Malali, and Y. Keller, “Learning to Embed Semantic Similarity for Joint Image-Text Retrieval.” IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. 44(12): 10252-10260.

  23. S. Mahpod, and Y. Keller, “Auto-ML Deep Learning for Rashi Scripts OCR”. arXiv: 1811.01290.

  24. A. Navon and Y. Keller, “Financial Time Series Prediction Using Deep Learning”. arXiv:1711.04174.

  25. Y. Nirkin, T. Hassner, and Y. Keller, “FSGAN: Photo-realistic model-free video face swapping and reenactment”. The IEEE International Conference on Computer Vision (ICCV) 2019.

  26. O. Sendik and Y. Keller, “DeepAge: Deep Learning of face-based age estimation.” Signal Processing: Image Communication. Vol: 78, 2019, Page: 368-375.

  27. S. Gepshtein and Y. Keller, “Iterative Spectral Independent Component Analysis.” Signal Processing. Volume 155, 2019, Pages 368-376.

  28. S. Mahpod, Y. Keller, “Kinship verification using a hybrid distance learning network”. Computer Vision and Image Understanding. Volume 167, 2018, Pages 28-36.

  29. 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 7, Article number: 4702 (2017).

    30.

  30. 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.

  31. 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.

  32. Victor May, Yosi Keller, Nir Sharon, and Yoel Shkonisky. “An 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.

  33. Tal Darom and Yosi Keller, “Automatic group registration of meshes by weighted spectral synchronization” Submitted.

  34. 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.

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

  36. U. Shusterman and Y. Keller, “Automatic Large Margin Music Genre Classification in Local Diffusion Spaces” Submitted.

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

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

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

  40. Y. Keller, “A probabilistic approach to Integer Least Squares and MIMO decoding”. Submitted.

  41. A. Egozi, Y. Keller and H. Guterman, “A 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.

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

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

  44. A. Bermanis, A. Averbuch and Y. Keller, “3-D Symmetry Detection using the Pseudo-Polar Fourier Transform”. International Journal of Computer Vision, Vol. 90, No. 2, pp. 166-182, 2010. BibTex.

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

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

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

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

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

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

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

  52. Y. Keller and Y. Shkolnisky, A. Averbuch, “Volume Registration Using the 3-D Pseudopolar Fourier Transform”. IEEE Transactions on Signal Processing, Vol. 54, No. 11, pp. 4323- 4331, 2006.BibTex

  53. S. Lafon, Y. Keller and R. R. Coifman, “Data 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

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

  55. Y. Keller, A. Averbuch, M. Israeli, “Pseudo-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

  56. Y. Keller and Y. Shkolnisky, A. Averbuch, “The 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

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

  58. Y. Keller, A. Averbuch,  “Fast 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, “Spectral Symmetry Analysis”., In “Studies 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. N. Ofir, S. Silberstein, H. Levi, D. Rozenbaum, Y. Keller and S. Duvdevani Bar, ”Deep Multi-Spectral Registration Using Invariant Descriptor Learning,” 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018, pp. 1238-1242.

  2. N. Ofir, S. Silberstein, D. Rozenbaum, Y. Keller and S. D. Bar, ”Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor,” 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018, pp. 1857-1861

  3.  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.

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

  5. 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.

  6. 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.

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

  8. Edo Liberty, Moshe Almagor, Steven Zucker, Yosi Keller, and Ronald Coifman.“Scoring Psychological Questionnaires using Geometric Harmonics”. Snowbird Learning workshop 2007.

  9. R. Coifman, Y. Keller, S. Lafon, M. Maggioni, A. Szlam, F. Warner and S. W Zucker, “Geometries 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.

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

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

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

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

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

  15. 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.

  16. A. Elad, Y. Keller and R. Kimmel, “Texture 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.

  17. Y. Keller, A. Averbuch “Pseudo-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.

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

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

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

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

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

  23. Y. Keller, A. Averbuch, “Fast global motion estimation for MPEG-4 video compression”, PACKET VIDEO 2003, Nantes, France, April 2003.

  24. Y. Keller, A. Averbuch, “Implicit similarity: a new approach to multi-sensor image registration”, In Proc. of CVPRœג„¢03, Madison, USA, June 2003.

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

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

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

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

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

  30. 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.