Becuase you can’t afford to miss this one:
Abhinav Gupta, Scott Satkin, Alexei A. Efros and Martial Hebert. From Scene Geometry to Human Workspace. In CVPR 2011.
Because large scale structure from motion meets graphical models:
David Crandall, Andrew Owens, Noah Snavely, and Dan Huttenlocher. Discrete-Continuous Optimization for Large-Scale Structure from Motion. In CVPR 2011.
Because segmentation provides a good basis for object discovery:
Galleguillos C., McFee B., Belongie S., Lanckriet G. From Region Similarity to Category Discovery. In CVPR 2011.
Because imitation provides a category-free way of understanding pose:
Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus. Learning Invarance through Imitation. In CVPR 2011. Project page (with links to supplementary material)
Because you don’t need to solve intractable graphical model inferences:
S. Ross, D. Munoz, M. Hebert, J. A. Bagnell. Learning Message-Passing Inference Machines for Structured Prediction. In CVPR 2011.
Because a little bit of bottom-up never hurt a lot of top-down:
Thomas Brox, Lubomir Bourdev, Subhransu Maji, Jitendra Malik. Object Segmentation by Alignment of Poselet Activations to Image Contours. In CVPR 2011
Because you might want to perform segmentation simultaneously on several related images:
I missed some of the posters later in the evening because I went for a short hike organized by Jianbo Shi (to Seven Falls). After all, CVPR is in Colorado Springs, and it is silly to stay inside the conference the entire time. Below is a pic of the falls (only a short drive from the CVPR11 conference hotel).
After several hours of talks it was good to get some fresh air and see some waterfalls in Colorado Springs! On Friday, I'm going on the Pikes Beak downhill bike ride with some friends and it should be super-fun.