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M. Alex O. Vasilescu

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M. Alex O. Vasilescu
Alex Tensor.jpg Alex Tensor.jpg
Born
💼 Occupation
Known for
TensorFaces[1][2][3][4]
  • Causal tensor factor analysis[5]
🏅 Awards
🌐 Websiteweb.cs.ucla.edu/~maov

M. Alex O. Vasilescu is a Romanian-American computer scientist, known for introducing a unified tensor factor analysis framework for causal inference with applications in computer vision, computer graphics, and machine learning. Computer graphics and computer vison, also known as forward and inverse imaging, were treated as analogues of forward and inverse causal inference. This line of work caught the attention of the academic and popular press with her research on TensorFaces and Human Motion Signatures. TensorFaces[1][2] models the mechanism that generated data, and disentangles the underlying causal factor representations, such as identity, viewpoint, and illumination. Multilinear (Tensor) Independent Component Analysis[6](2005,2004) which employed higher order statistics, "strongly influenced" the direction of research in deep neural learning, as mentioned in the article "Disentangling factors of variation via generative entangling", 2012 published by the team led by Turing Award winner, Yoshua Bengio.[7] Yoshua Bengio and Aaron Courville reiterated the conceptual link between deep learning architectures and tensorial/multilinear factorization in the book called "Handbook on Neural Information Processing.[8] Vasilescu in Causal Deep Learning (2024),[9] made this relationship explicit. The Natioanal Academies of Sciences awarded the Keck Futures Initiative grant[10], and MIT's Technology Review magazine named her as TR100 honoree[11]. Her research on TensorFaces[1], Human Motion Signatures[12][13] and TensorTextures[14][15][16] has been widely recognized, including features on the cover of Computer World (Canada)[17] and in publications such as the New York Times.[18], Washington Times[13] and National Post Canada.[19] Vasilescu was educated at the Massachusetts Institute of Technology and the University of Toronto.

References

  1. ↑ 1.0 1.1 1.2 M.A.O. Vasilescu, D. Terzopoulos (2002) "Multilinear Analysis of Image Ensembles: TensorFaces," Proc. 7th European Conference on Computer Vision (ECCV'02), Copenhagen, Denmark, May, 2002, in Computer Vision – ECCV 2002, Lecture Notes in Computer Science, Vol. 2350, A. Heyden et al. (Eds.), Springer-Verlag, Berlin, 2002, 447–460.
  2. ↑ 2.0 2.1 M.A.O. Vasilescu, D. Terzopoulos (2003) "Multilinear Subspace Analysis for Image Ensembles, Proc. Computer Vision and Pattern Recognition Conf. (CVPR '03), Vol.2, Madison, WI, June, 2003, 93–99.
  3. ↑ M. A. O. Vasilescu, D. Terzopoulos (2005) "Multilinear Independent Component Analysis", "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’05), San Diego, CA, June 2005, vol.1, 547–553."
  4. ↑ M. A. O. Vasilescu. "Multilinear projection for face recognition via canonical decomposition". In Automatic Face Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on, pages 476–483, March 2011.
  5. ↑ A Multilinear (Tensor) framework for Computer Graphics, Computer Vision and Machine Learning (PDF) (Thesis). University of Toronto. 2009.
  6. ↑ M. A. O. Vasilescu and D. Terzopoulos (2005). "Multilinear Independent Components Analysis". Proc. Computer Vision and Pattern Recognition Conf. (CVPR '05). 1. San Diego, CA. p. 547-553. doi:10.1109/CVPR.2005.240. Unknown parameter |month= ignored (help)
  7. ↑ G. Desjardins, A. Courville, and Y. Bengio. (2012). "Disentangling factors of variation via generative entangling".CS1 maint: Uses authors parameter (link)
  8. ↑ Y. Bengio and A. Courville (2013). "Deep Learning of Representations". Handbook on Neural Information Processing. Springer Berlin Heidelberg.CS1 maint: Uses authors parameter (link) Search this book on
  9. ↑ M.A.O. Vasilescu (December 11, 2024). "Causal Deep Learning". Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science. Springer, Cham. pp. 420–438. ISBN 978-3-031-78189-6. Search this book on
  10. ↑ "Keck Futures Initiative". National Academies of Sciences. 2011.
  11. ↑ "The Bold 100 Innovators You Need to Know". Technology Review. 2003-10-01. Retrieved 2019-01-28.
  12. ↑ M. A. O. Vasilescu (2002) "Human Motion Signatures: Analysis, Synthesis, Recognition," Proceedings of International Conference on Pattern Recognition (ICPR 2002), Vol. 3, Quebec City, Canada, Aug, 2002, 456–460.
  13. ↑ 13.0 13.1 Ann Geracimos (March 4, 2004). "Walking 'Signature'". The Washington Times. Archived from the original on August 4, 2006. Retrieved May 25, 2025.
  14. ↑ Mike Martin (September 5, 2003). "New Software May Enliven Digital Images". ACM Tech News. 5 (541).
  15. ↑ Mike Martin (September 5, 2003). ""Using tensors -- the same mathematical objects that Albert Einstein mastered to render the force of gravity". Sci-Tech Today, NewsFactor Network. Archived from the original on 8 February 2005. Retrieved 26 July 2025.CS1 maint: Unfit url (link)
  16. ↑ M.A.O. Vasilescu, D. Terzopoulos (2004) "TensorTextures: Multilinear Image-Based Rendering", M. A. O. Vasilescu and D. Terzopoulos, Proc. ACM SIGGRAPH 2004 Conference Los Angeles, CA, August, 2004, in Computer Graphics Proceedings, Annual Conference Series, 2004, 336–342.
  17. ↑ Michael MacMillan (May 2004). ""Academic Putting a Face on Software Research" (cover article)". Computer World (Canada). Archived from the original on June 8, 2025. Retrieved 25 mai 2025. Check date values in: |access-date= (help)CS1 maint: Date and year (link)
  18. ↑ Eisenberg, Anne (2003-10-09). "Decoding the Subtle Dance of Ordinary Movements". The New York Times. pp. G9.
  19. ↑ Joseph Brean (2003). "3 Ontarians Among World's Best: MIT Young 'Lab Dwellers and Visionaries Will Utterly Transform Our World'": Scientific innovators: "Looking for things that no one understands". The National Post (Canada). Archived from the original on 12 August 2004. Retrieved 26 July 2025. Unknown parameter |month= ignored (help); Unknown parameter |day= ignored (help)

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