Learning in Vision Tea
A two-weekly, 30 minute meeting with people from LEAR & PERCEPTION to discuss the latest and greatest in computer vision. Organization: Radu Horaud & Jakob Verbeek.
The goal is to present and discuss the basic ideas of a paper,
rather than to give full presentation with all details: the focus is on discussion and questions.
The choice of papers is left to the presenters, but try to take a paper from the latest conferences that includes vision and machine learning aspects.
If you have some other paper that's a bit older, or with a little too much or too little learning: please do present that paper!
Next Meeting
Planning 2009
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April 22, 15h00 -- 15h30, C.208, ICCV submissions, part 3:
Herve, Ramya, Simone
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April 1, 17h00 -- 17h30, C.208, ICCV submissions, part 2:
Alex, Emanuel, Hedi
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March 25, 16h00 -- 16h30, C.208, ICCV submissions, part 1:
Adrien, Matthieu, Peter, Thomas
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February 25, 16h00 -- 16h30, C.208, Harsimrat will present:
Spectral Hashing, Weiss, Torralba & Fergus, NIPS 2008.
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February 11, 16h00 -- 16h30, C.208, Matthieu will present:
A New Baseline for Image Annotation, Makadia, Pavlovic & Kumar, ECCV 2008
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January 29, 16h00 -- 16h30, C.208, Tingting will present:
Unsupervised Modeling of Object Categories Using Link Analysis Techniques, Kim, Faloutsos & Hebert, CVPR 2008
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January 14, 16h00 -- 16h30, C.207, Adrien will present:
Visual Event Recognition in News Video using Kernel Methods with
Multi-Level Temporal Alignment, Xu & Chang, CVPR 2007
Planning 2008
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December 17, 15h00 -- 15h30, A.104, Avinash will present:
The naked truth: Estimating body shape under clothing,
Balan & Black, ECCV '08
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December 3, 16h00 -- 16h30, C.207, Marcin will present:
Beyond Sliding Windows: Object Localization by Efficient Subwindow Search, Lampert, Blaschko & Hofmann, CVPR 2008.
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November 27, 16h00 -- 16h30, C.207, Jakob will present:
Small Codes and Large Image Databases for Recognition,
Torralba, Fergus & Weiss, CVPR'08
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November 12, 16h00 -- 16h30, A.104, Radu will present:
Learning Spatial Context: Using Stuff to Find Things, Heitz & Koller, ECCV'08