Sameer Agarwal. Indian Institute of Technology M.Sc. in Mathematics and Scientific Computing.
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1 Sameer Agarwal 4759 NE 178 th Street Lake Forest Park, WA (858) Education University of California, San Diego Ph.D. in Computer Science and Engineering. Dissertation: Learning from Higher Order Relations. Advisor: Serge Belongie Indian Institute of Technology M.Sc. in Mathematics and Scientific Computing. La Jolla, CA Kanpur, India Work Experience June 2011 Affiliate Professor, Department of Computer Science and Engineering. Google Inc. January 2010 Software Engineer September 2009 December 2009 Acting Assistant Professor, Department of Computer Science and Engineering. September 2006 August 2009 Postdoctoral Research Associate, Department of Computer Science and Engineering. Rhythm & Hues Studios Inc. July 2003 September 2003 Summer Intern, Rendering Group. Los Angeles, CA Matsushita Electrical Industrial Co. Osaka, Japan July 2000 September 2000 Visiting Student Researcher, Advanced Technology Research Laboratories. Washington State University Pullman, WA May 1998 July 1998 Visiting Researcher, Department of Electrical Engineering and Computer Science.
2 Teaching Experience CSE558, Convex Optimization and Applications, Spring 2007: Instructor University of California, San Diego La Jolla, CA CSE166, Image Processing, Fall 2004: Teaching Assistant. CSE166, Image Processing, Fall 2003: Teaching Assistant. CSE150, Programming Languages for Artificial Intelligence, Winter 2001: Teaching Assistant CSE51, Introduction to Computer Programming, Fall 2000: Teaching Assistant Honors Outstanding Reviewer, IEEE Conference on Computer Vision and Pattern Recognition, David Marr Prize Honorable Mention for Globally Convergent Algorithms for Affine and Metric Upgrades in Stratified Autocalibration, IEEE International Conference on Computer Vision, Best Poster Award for Quantitative Spectral Decomposition for Stained Tissue Analysis, UCSD Research Review, Best Poster Award for On Refractive Optical Flow, UCSD Research Review, 2004 Co-author of Fast Breaking Paper, A Fast and Elitist Multi-objective Genetic Algorithm: NSGA-II, U.C. San Diego Woolley Fellowship, Press Coverage Structured Importance Sampling of Environment Maps, Full Digital Innovation, September Professional Activities Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence, SIGGRAPH, Journal of Machine Learning Research, IEEE Conference on Computer Vision and Pattern Recognition, International Conference on Computer Vision, European Conference on Computer Vision, Eurographics, Artificial Intelligence and Statistics, IEEE Transactions on Knowledge and Data Engineering, Graphics Interface, International Conference on Machine Learning, Parallel Problem Solving from Nature Area Chair: IEEE Conference on Computer Vision and Pattern Recognition 2013, European Conference on Computer Vision 2014, IEEE International Conference on Computer Vision, 2015,. Journal Articles S. Agarwal, H. Lee, B. Sturmfels and R. Thomas, On the Existence of Epipolar Matrices, International Journal of Computer Vision, 121(3): , 2017.
3 R. Anderson, D. Gallup, J. T. Barron, J. Kontkanen, N. Snavely, C. Hernandez Esteban, S. Agarwal and S. M. Seitz, Jump: Virtual Reality Video, ACM Transactions on Graphics (Proc. of SIGGRAPH Asia 2016), 35(6), S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, B. Curless, S. Seitz, R. Szeliski, Building Rome in a Day, Communications of the ACM, 54(10): , M. Chandraker, S. Agarwal, D. Kriegman, S. Belongie Globally Optimal Algorithms for Stratified Autocalibration, International Journal of Computer Vision, 90(2): , J. Wills, S. Agarwal, D. Kriegman & S. Belongie Towards a Perceptual Space for Gloss, ACM Transactions on Graphics, 28(4):1 15, F. Kahl, S. Agarwal, M. K. Chandraker, D. Kriegman & S. Belongie Practical Global Optimization for Multiview Geometry, International Journal of Computer Vision, 79(3): , J. Wills, S. Agarwal & S. Belongie, A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion, International Journal of Computer Vision, 68(2): , S. Agarwal, R. Ramamoorthi, S. Belongie & H.W. Jensen, Structured Importance Sampling of Environment Maps, ACM Transactions on Graphics Proceedings of SIGGRAPH, 22(3): , K. Deb, A.P. Mathur, S. Agarwal & T. Meyrivan, A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6(2): , Refereed Conference Papers A. Fix & S. Agarwal, Duality and the Continuous Graphical Model, European Conference on Computer Vision, C. Aholt, S. Agarwal & R. Thomas, A QCQP Approach to Triangulation, European Conference on Computer Vision, A. Kushal & S. Agarwal, Visibility Based Preconditioning For Bundle Adjustment, IEEE Conference on Computer Vision & Pattern Recognition, Q. Shan, S. Agarwal & B. Curless, Refractive Height Fields from Single and Multiple Images, IEEE Conference on Computer Vision & Pattern Recognition, C. Wu, S. Agarwal, B. Curless, S. M. Seitz, Schematic Surface Reconstruction, IEEE Conference on Computer Vision & Pattern Recognition, C. Wu, S. Agarwal, S. Seitz & B. Curless, Multicore Bundle Adjustment, IEEE Conference on Computer Vision & Pattern Recognition, 2011.
4 S. Agarwal, N. Snavely, S. Seitz & R. Szeliski, Bundle Adjustment in the Large, European Conference on Computer Vision, S. Agarwal, N. Snavely, I. Simon, S. Seitz & R. Szeliski, Building Rome in a Day, IEEE International Conference on Computer Vision, S. Agarwal, N. Snavely, S. Seitz, Fast Algorithms for L Optimization Problems in Multiple View Geometry, IEEE Conference on Computer Vision & Pattern Recognition, M. Chandraker, S. Agarwal, D. Kriegman, S. Belongie, Globally Convergent Algorithms for Affine and Metric Upgrades in Stratified Autocalibration, IEEE International Conference on Computer Vision, T. S. Saponas, J. Lester, C. Hartung, S. Agarwal & T. Kohno, Devices That Tell On You: Privacy Trends in Consumer Ubiquitous Computing, USENIX Security Symposium, M. Chandraker, S. Agarwal, F. Kahl, D. Kriegman, Autocalibration via Rank-Constrained Estimation of the Absolute Quadric, IEEE Conference on Computer Vision & Pattern Recognition, M. Chandraker, S. Agarwal, D. Kriegman, Shadowcuts: Photometric Stereo With Shadows, IEEE Conference on Computer Vision & Pattern Recognition, S. Agarwal, J. Wills, L. Cayton, G. Lanckriet, D. Kriegman & S. Belongie, Generalized Non-metric Multidimensional Scaling, AISTATS, S. P. Mallick, S. Agarwal, D. Kriegman, S. Belongie, B. Carragher, C. Potter, Vision in the Small: Reconstructing the Structure of Protein Macromolecules from Cryo-Electron Micrographs, British Machine Vision Conference, Volume I, pp. 1 6, September 2006, Edinburgh, United Kingdom. S. Agarwal, K. Branson, S. Belongie, Higher Order Learning with Graphs, International Conference on Machine Learning, pp , S. P. Mallick, S. Agarwal, D. Kriegman, S. Belongie, B. Carragher, C. Potter, Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach, IEEE Conference on Computer Vision & Pattern Recognition, pp , S. Agarwal, M. Chandraker, F. Kahl, D. Kriegman & S. Belongie, Practical Global Optimization for Multiview Geometry, European Conference on Computer Vision, S. Agarwal, J. Lim, L. Zelnik-Manor, P. Perona, D. Kriegman and S. Belongie, Beyond Pairwise Clustering, IEEE Computer Vision & Pattern Recognition, 2005, pp
5 S. Agarwal, S. P. Mallick, D. Kriegman & S. Belongie, On Refractive Optical Flow, European Conference on Computer Vision, 2004, pp , vol. 2. A. Rabinovich, S. Agarwal, C. Laris, J. Price, & S. Belongie Unsupervised Color Decomposition of Histologically Stained Tissue Samples, Neural Information Processing Systems, J. Wills, S. Agarwal & S. Belongie, What Went Where, IEEE Conference on Computer Vision & Pattern Recognition, 2003, pp , vol. 1. S. Agarwal & S. Belongie, On the Non-Optimality of Four Color Coding of Image Partitions, IEEE International Conference on Image Processing, 2002, pp , vol. 2. K. Morikawa, S. Agarwal, C. Elkan & G. Cottrell, A Taxonomy of Computational and Social Learning, Workshop on Developmental Embodied Cognition, K. Deb, S. Agarwal A.P. Mathur & T. Meyrivan, A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II, Parallel Problem Solving from Nature IV Conference, K. Deb & S. Agarwal, A Niched-penalty Approach for Constraint Handling in Genetic Algorithms, International Conference on Artificial Neural Networks & Genetic Algorithms, K. Deb & S. Agarwal, Understanding Interactions Between Genetic Algorithm Parameters, Foundations of Genetic Algorithms, Book Chapters H. Kargupta, E.R. Sanseverino, E. Johnson & S. Agarwal, The Genetic Algorithm, Linkage Learning and Scalable Data Mining, Intelligent Data Analysis in Science, Hugh Cartwright, editor, Oxford University Press, Unrefereed Articles S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, B. Curless, S. Seitz, R. Szeliski, Reconstructing Rome, IEEE Computer, June, Last update: April 2, 2017
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