Adaptive Systems and Interaction Group
Microsoft Research, Redmond
Machine Learning, Computer Vision and Affective Computing
- Latest Papers and Codes:
- Airplanes as a Sensor Network for Wind Forecasting, To Appear IPSN 2014
- Quantum Nearest-Neighbor Algorithms for Machine Learning arXiv:1401.2142
- Gauss Meets Canadian Traveler: Shortest-Path Problems with Correlated Natural Dynamics, To Appear AAMAS 2014
- Collaborative Personalization of Image Enhancement IJCV Pre-print
- An Interactive Approach to Solving Correspondence Problems IJCV Pre-print
- Machine Learning for Affective Computing: Challenges and Opportunities (Handbook of Affective Computing)
- Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013
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.