Adaptive Systems and Interaction Group
Microsoft Research, Redmond
Machine Learning, Computer Vision and Affective Computing
Click here for WindFlow maps: winds aloft estimation with airplanes.
- Latest Papers and Codes:
- Quantum Nearest-Neighbor Algorithms for Machine Learning, QIC 2015
- Quantum Deep Learning, arXiv:1412.3489
- Inferring and Learning from Neuronal Correspondences, arXiv:1501.05973
- Exploiting Sparsity and Co-occurrence Structure for Action Unit Recognition, FG 2015
- Active Learning for Sparse Bayesian Multilabel Classification, KDD 2014
- Mining Text Snippets for Images on the Web, KDD 2014
- Blind Image Quality Assessment using Semi-supervised Rectifier Network, CVPR 2014
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.