Pushmeet Kohli
Senior Researcher

Machine Learning and Perception
Microsoft Research Cambridge
pkohli [@] microsoft.com

Associate

Psychometrics Centre
University of Cambridge

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Research

My research concerns the development of intelligent machines, with the particular aim of “teaching” computers to (1) understand the behaviour and intent of human users, and (2) to correctly interpret (or “See”) objects and scenes depicted in colour/depth images or videos. I work and publish in the fields of Computer Vision, Machine Learning, Discrete Optimization, Game Theory and Human-Computer Interaction. I am currently working on (1) the use of online social networks such as Facebook for conducting behavioural game theory experiments, and (2) the development of robust systems for human pose estimation and gesture recognition, and scene understanding using new depth sensors such as XBox KINECT.

Recent Academic Duties (All Academic Duties)

Recent News (All Updates)

Some Recent Projects

Recent Selected Publications (2009-2013) (All Publications)

Books and Edited Volumes

Scene Understanding (Object Detection, Segmentation, Recognition and Pose Estimation)

Intelligent Interactive Systems

Augmented Reality and Image/Video Editing

Random Fields, MAP Inference and Discrete Optimization

Inference with Higher order Models and Constraints

Models for Low-level Vision (Segmentation, Stereo, and Optical Flow)

Game Theory, Behavioral Economics and Information Retrieval

PHD Dissertation