I am a software engineer at Google. I work on problems in computer vision and machine
learning, with a particular interest in non-linear optimization.
Before coming to Google, I was a postdoc at the University of Washington, a
graduate student at University of California, San Diego and an undergraduate at the
Indian Institute of Technology, Kanpur.
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Jump: Virtual Reality Video
Robert Anderson, David Gallup, Jonathan T. Barron, Janne Kontkanen, Noah Snavely, Carlos Hernandez
Esteban, Sameer Agarwal, Steven M. Seitz
ACM Transactions on Graphics(Proc. of SIGGRAPH Asia 2016) (2016) (to appear)
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On The Existence of Epipolar Matrices
Sameer Agarwal, Hon Leung Lee, Bernd
Sturmfels, Rekha R. Thomas
International Journal of Computer Vision (2016), pp. 1-13
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A QCQP Approach to Triangulation
Chris Aholt, Rekha Thomas, Sameer Agarwal
European Conference on Computer Vision, Springer Verlag (2012)
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Refractive Height Fields from Single and Multiple
Images
Qi Shan, Sameer Agarwal, Brian Curless
IEEE Conference on Computer Vision and Pattern Recognition, IEEE (2012)
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Schematic Surface Reconstruction
Changchang Wu, Sameer Agarwal, Brian
Curless, Steven M. Seitz
IEEE Conference on Computer Vision and Pattern Recognition, IEEE (2012)
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Visibility Based Preconditioning for Bundle
Adjustment
Avanish Kushal, Sameer Agarwal
IEEE Conference on Computer Vision and Pattern Recognition, IEEE (2012)
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Building Rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon,
Brian Curless, Steven M. Seitz, Rick Szeliski
Communications of the ACM, vol. 54 (2011), pp. 105-112
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Multicore Bundle Adjustment
Changchang Wu, Sameer Agarwal, Brian
Curless, Steven Seitz
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (2011), pp. 3057-3064
