Natasha Prashant Banerjee
Assistant Professor
Department of Computer Science
Clarkson University
United States of America
Biography
Natasha Kholgade Banerjee is an Assistant Professor in the Department of Computer Science at Clarkson University in Potsdam, New York. She performs research at the intersection of computer graphics and computer vision. Her work provides 'manipulated reality', i.e., 3D manipulations to objects in photographs and videos. Natasha obtained her Ph.D. in 2015 at Carnegie Mellon University in Pittsburgh, Pennsylvania. She received her B.S. and M.S. degrees in 2009 from the Department of Computer Engineering at Rochester Institute of Technology. Her work has been featured on Inside Science TV, has received Popular Science magazine's Best of What's New Award in 2014 and was the Finalist for the World Technology Award in 2015. Her work has also been extensively covered in the press by websites such as Gizmodo, TechCrunch and the New York Times. Her joint work with Dr. Sean Banerjee on 3D printing of people performing action poses has been featured in North Country Now. During her off time, Natasha enjoys doing origami, sewing, knitting, and woodworking.
Research Interest
My research lies at the intersection of computer graphics and computer vision. I use large databases of 3D models to understand the complete three-dimensional shape, illumination, appearance, and physical properties of objects in 2D and 2.5D modalities such as color and depth, and to provide 'manipulated reality' or photorealistic 3D spatiotemporal manipulations to objects in images and videos. I co-direct the Terascale All-sensing Research Studio (TARS) with Dr. Sean Banerjee at Clarkson University.
Publications
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Natasha Kholgade, Iain Matthews, and Yaser Sheikh (2011). Content retargeting using parameter-parallel facial layers. Symposium on Computer Animation, pp. 195-204.
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Zhe Cao, Yaser Sheikh, and Natasha Kholgade Banerjee (2016). Real-time scalable 6DOF pose estimation for textureless objects. IEEE International Conference on Robotics and Automation, pp. 2241-2448.
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Yan Gao, Daqing Hou, Natasha Kholgade Banerjee, and Sean Banerjee (2016). Water fixture identification in smart housing: a domain knowledge based case study, Intl. Conference on Machine Learning and Applications.