Our CVPR 2007 Papers

M. F. Tappen. "Utilizing Variational Optimization to Learn Markov Random Fields", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

M. F. Tappen, C. Liu, E. H. Adelson, and W. T. Freeman. "Learning Gaussian Conditional Random Fields for Low-Level Vision", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Saad Ali, Vladimir Reilly, and Mubarak Shah "Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Video", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Saad Ali and Mubarak Shah "A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Yaser Sheikh, Asad Hakeem, and Mubarak Shah "On the Direct Estimation of the Fundamental Matrix", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Yaser Sheikh, Xin Li, and Mubarak Shah "Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Yaser Sheikh, Alexei Gritai, and Mubarak Shah "On the Spacetime Geometry of Galilean Cameras", IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.