Saket Anand
Assistant Professor
CSE, ECE
Indraprastha Institute of Information Technology
India
Biography
Saket Anand is an Assistant Professor at Indraprastha Institute of Information Technology (IIIT), Delhi. He completed his PhD in Electrical and Computer Engineering from Rutgers University in 2013. He was part of the Robust Image Understanding Lab at Rutgers and his current research interests are design of robust statistical methods for heavily corrupted data, 3D scene reconstruction techniques and semi-supervised clustering methods. From 2007 to 2010, he worked as a research engineer at Read-Ink Technologies, Bangalore, developing algorithms for handwriting recognition. His Masters research carried out at Rutgers (2004-2006) involved design and implementation of face recognition and speech recognition algorithms. He is a member of the IEEE.
Research Interest
Geometric Computer Vision, Semi-supervised learning, Robust methods, Scene understanding
Publications
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Mittal S, Anand S, Meer P. Generalized projection-based m-estimator. IEEE transactions on Pattern analysis and machine intelligence. 2012 Dec;34(12):2351-64.
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Anand S, Mittal S, Meer P. Robust Estimation for Computer Vision Using Grassmann Manifolds. InRiemannian Computing in Computer Vision 2016 (pp. 125-144). Springer International Publishing.
