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224:(CAIR), a DRDO lab, in 1996. He headed the Computer Vision and Virtual Reality groups of CAIR and was instrumental in initiating several VR applications for DRDO and the defence. He moved to IIIT-Hyderabad in 2000 and established the Centre for Visual Information Technology (CVIT), which has grown into the largest research group in India in the areas of computer vision, graphics, and medical image processing.
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and other commodity sensors. He pioneered the use of innovative platforms like the GPU for common computer vision applications such as graph cuts, neural networks, clustering etc. Use of the GPU in computer vision has culminated in the GPUs making Deep
Learning practical for several applications. His
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He was appointed the Co-Chair of the ACM India
Council when it was formed. He became the first President of ACM India in 2012 and is the Chair of the ACM India Research Board from 2014. He has played several roles in the Association for Computing Machinery including being in the Nominations Committee
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Prof. Narayanan has played crucial roles in several editions of the Indian
Conference on Computer Vision, Graphics, and Image Processing (ICVGIP). He was also instrumental in bringing the Asian Conference on Computer Vision (ACCV) to Hyderabad in 2006. He has been an Area Chair for ICCV, CVPR, ACCV,
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Narayanan started his career in the Lipi group of the R&D group of CMC Ltd and helped design the second generation hardware for their Indian language word processor. He moved to
University of Maryland for graduate studies in 1986. He worked as a research faculty member at the
217:. He was instrumental in building the virtualized reality system that for the first time captured dynamic events in 3D from multiple points of view. The events so captured could be integrated into a virtual reality environment for visualization and manipulation.
315:. In computer vision his early work on 3D recovery of dynamic scenes through virtualized reality has resulted in tremendous growth in 3D capture to be available to end users. Capture of 3D has now become common place through the
180:(ray-tracing of implicit surfaces, dynamic scenes), and parallel computing on the GPU (graph algorithms, string sorting, ML techniques like graph cuts, ANN and clustering, as well as several computer vision tasks).
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Best applications paper
International Conference on Multisensor Fusion and Integration (MFI), 1996
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Best
Industry Paper Honourable Mention Award in the British Machine Vision Conference (BMVC), 2018
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work on general parallel computing involving CPUs and GPUs has also been recognized worldwide.
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Best paper in
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CUDA Fellow in recognition of contributions to GPGPU by Nvidia
Corporation in 2008
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Narayanan has contributed to the areas of computer vision, computer graphics and
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Contentious material about living persons that is unsourced or poorly sourced
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and the committee to decide on the
Outstanding Contributions to ACM award.
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Association for
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International Institute of Information Technology, Hyderabad
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in 1984. Narayanan graduated with a master's degree from
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90:Learn how and when to remove this message
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