Recent NewsJun 22, 2014 - ECCV '14 Paper Accepted
Jason Chang and Randi Cabezas' work: "Bayesian Nonparametric Intrinsic Image Decomposition" has been accepted (oral) to ECCV 2014.
Apr 04, 2014 - MMF Project Covered in MIT News Todays' Spotlight
Our MMF project, led by Julian Straub, was covered in MIT Today's Spotlight.
Feb 25, 2014 - CVPR '14: 4 Papers Accepted
4 papers co-authored by members of our group have been accepted to CVPR '14 (1 oral, 3 posters).
Feb 06, 2014 - AISTATS Paper Accepted
Zoran Dzunic's work on "Bayesian Switching Interaction Analysis Under Uncertainty" has been accepted to the International Conference on Artificial Intelligence and Statistics (AISTATS '14).
Sept 04, 2013 - NIPS Paper Accepted
Jason Chang's work on "Parallel Sampling of DP Mixture Models using Sub-Clusters Splits" has been accepted to the annual Neural Information Processing Systems conference. Check out the Research page to find the code and a quick video.
Sept 04, 2013 - ICCV Paper Accepted
Jason Chang's work on "Topology-Constrained Layered Tracking with Latent Flow" has been accepted to the International Conference on Computer Vision.
About SLIOur group focuses on the analysis of complex, high-dimensional data. We combine elements of Bayesian inference, information theory, optimization, and physical sensor models to develop scalable algorithms with theoretical performance guarantees. Application areas include multi-modal data fusion, distributed inference under resource constraints, structural inference, resource management in sensor networks, and analysis of video, seismic volumes, and radar images.
Group Dinner - 05/20/2014
Left to Right: Oren Freifeld, Sue Zheng, Giorgos Papachristoudis, Guy Rosman, Christopher Dean, Jason Chang, Julian Straub, Randi Cabezas, John Fisher, Hossein Mobahi, Bonny Jain.