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Anoop Cherian

Anoop Cherian

  • Former Research Fellow, Australian National University

  • Mitsubishi Electric Research Labs, Cambridge

Anoop Cherian was a Research Fellow in the Australian Centre for Robotic Vision at the Australian National University, Canberra, where he was the leader for Human-Object Representations project under the Semantic Representations theme. He obtained his MS and PhD degrees from the University of Minnesota, Minneapolis, USA, in 2010 and 2012 respectively, after which he was a postdoctoral researcher in the LEAR project team at Inria, Grenoble until 2014. He obtained his Bachelors in Technology (B. Tech) degree from the National Institute of Technology, Calicut, India in 2002, later was employed at Microsoft as a software design engineer until 2007. He received the Best Student Paper Award at the International Conference on Image Processing (ICIP) in 2012 for his work on efficient similarity search on large-scale datasets. He is also one of the recipients of the “Outstanding Reviewer Award” at the European Conference on Computer Vision (ECCV) 2016. He has published nearly 40 papers in various domains including computer vision, machine learning, and robotics, at top venues such as CVPR, ICML, ICCV, ECCV, and TPAMI. His current research interests include human activity recognition, human pose estimation, modelling human-object interactions, and machine learning on matrix manifolds.

In 2017 Anoop left Australia to join the Misubishi Electric Research Labs in Cambridge, United States.

Australian Centre for Robotic Vision
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