Pushmeet Kohli is a researcher in the Machine Learning and Perception group at Microsoft Research Cambridge, and an associate of the Psychometric Centre and Trinity Hall, University of Cambridge. His research revolves around Intelligent Systems and Computational Sciences.
Pushmeet’s current research interests include “human behaviour analysis” and the “prediction of user preferences”. He is interested in designing autonomous and intelligent computer vision, bargaining and trading systems which learn by observing and interacting with users on social media sites such as Facebook. He is also investigating the use of new sensors such as KINECT for the problems of human pose estimation, scene understanding and robotics.
Pushmeet publishes in the fields of Machine Learning, Computer Vision, Information Retrieval, and Game Theory. He has won a number of awards and prizes for his research. His PhD thesis, titled "Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts", was the winner of the British Machine Vision Association's Sullivan Doctoral Thesis Award, and was a runner-up for the British Computer Society's Distinguished Dissertation Award. Pushmeet’s papers have appeared in SIGGRAPH, NIPS, ICCV, AAAI, CVPR, PAMI, IJCV, CVIU, ICML, AISTATS, AAMAS, UAI, ECCV, and ICVGIP and have won best paper awards in ICVGIP 2006 and ECCV 2010.
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