• Assistant Professor, Computer Science & Engineering
Image of Nima Kalantari

Educational Background

  • Ph.D. in Electrical and Computer Engineering, University of California in Santa Barbara, 2015
  • M.S. in Electrical Engineering, Amirkabir University of Technology, 2009
  • B.S. in Electrical Engineering, Amirkabir University of Technology, 2007

Research Interests

    • Computer graphics
    • Computational photography
    • Rendering
    • Deep learning

Awards & Honors

  • Dissertation Fellowship, Electrical and Computer Engineering Department, University of California in Santa Barbara, 2015
  • Departmental Fellowship, Electrical and Computer Engineering Department, University of New Mexico, 2011
  • Best Master Thesis Award, Institute of Electrical and Electronics Engineers (IEEE) Iran Section, 2010

Selected Publications

  • N. K. Kalantari and R. Ramamoorthi, "Deep high dynamic range imaging of dynamic scenes," ACM TOG (SIGGRAPH 2017), 36(4) :144:1-144:12, 2017.
  • T. C. Wang, J. Y. Zhu, N. K. Kalantari, A. A. Efros, and R. Ramamoorthi, "Light field video capture using a learning-based hybrid imaging system," ACM TOG (SIGGRAPH 2017), 36(4) :133:1-133:13, 2017.
  • N. K. Kalantari, T. C. Wang, and R. Ramamoorthi, "Learning-based view synthesis for light field cameras," ACM TOG (SIGGRAPH Asia 2016), 35(6):193:1–193:10, 2016.
  • N. K. Kalantari, S. Bako, and P. Sen, "A machine learning approach for filtering monte carlo noise," ACM TOG (SIGGRAPH 2015), 34(4):122:1–122:12, 2015.
  • P. Sen, N. K. Kalantari, M. Yaesoubi, S. Darabi, D. B. Goldman, and E. Shechtman, "Robust patch-based HDR reconstruction of dynamic scenes," ACM TOG (SIGGRAPH Asia 2012), 31(6):203:1–203:11, 2012.