| Date | Presenter | Description |
| 1/20/2010 |
Kate, Gunhee, Jon, Tomasz |
NIPS overview:
Zero-Shot Learning with Semantic Output Codes Unsupervised Detection of Regions of Interest Using Iterative Link Analysis Semi-supervised Learning in Gigantic Image Collections Group Sparse Coding Riffled Independence for Ranked Data Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation Learning models of object structure An Additive Latent Feature Model for Transparent Object Recognition (An LP View of the M-best MAP problem) (Learning a Small Mixture of Trees) (An Online Algorithm for Large Scale Image Similarity Learning) (Scalable Learning in Computer Vision) |
| 1/27/2010 |
..., Daniel Munoz |
NIPS overview (ctd) and
Region-based Segmentation and Object Detection, Stephen Gould, Tianshi Gao and Daphne Koller. In Advances in Neural Information Processing Systems (NIPS), 2009. Decomposing a Scene into Geometric and Semantically Consistent Regions, Stephen Gould, Rick Fulton and Daphne Koller. In IEEE International Conference on Computer Vision (ICCV), 2009. |
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| 2/3/2010 |
Abhinav Gupta |
Cancelled for Microsoft Technology Spotlight: Harry Shum
http://calendar.cs.cmu.edu/scsEvents/demo/5721.html |
| 2/10/2010 |
Santosh Kumar Divvala | TBA |