Adaptive Systems and Interaction Group
Microsoft Research, Redmond
Learning and Vision, Signal Processing, User Modeling and Affective Computing
- Latest Papers and Codes:
- Multilabel Classification using Bayesian Compressed Sensing NIPS 2012 Paper
- Context-Based Automatic Local Image Enhancement ECCV 2012 Paper
- Riffled Independence for Efficient Inference with Partial Rankings - JAIR 2012 (Email for pre-print)
- Learning to Learn: Algorithmic Inspirations from Human Problem Solving AAAI 2012 Paper
- Performance and Preferences: Interactive Refinement of Machine Learning Procedures AAAI 2012 Paper
- Memory Constrained Face Recognition CVPR 2012 Paper
- How to Make Face Recognition Work: The Power of Modeling Context Keynote paper AAAI WS 2012
- AffectAura: An Intelligent System for Emotional Memory CHI 2012 Paper
Click here for complete publication list.
I am a researcher with the Adaptive Systems and Interaction Group at Microsoft Research, Redmond. These days I am specifically focusing on interactive machine learning. Broadly, I am interested in Machine Learning and Computer Vision with applications in User Modelling, Affective Computing and Computer-Human interaction scenarios.
I did a PhD at the MIT Media Lab and my Doctoral thesis looked at building Discriminative Models for Pattern Recognition with incomplete information (semi-supervised learning, imputation, noisy data etc.). Most of the earlier work focused on building new machine learning models for affect recognition. A significant part of that work involved automatic analysis of non-verbal behavior (e.g. Facial Action Analysis, see Master's thesis) and physiological responses. The earliest part of my research career tackled the problem of photorealistic facial animations to produce audio-visual speech.