March

25 Mar

I'll give an overview of what illumination cones are and wha

t we know about them, so you don't need to read any papers if you don't want. However I'll be drawing from these 3 paper

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04 Mar

I will give an overview of the following paper. I will show

that the statistical explanations given in the paper are flawed, but that their methods do make sense if you assume the

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April

01 Apr

Y. Caspi and M. Irani, Alignment of Non-Overlapping Sequence

s. IEEE International Conference on Computer Vision (ICCV), Vancouver, July 2001. Paper. This paper received the Hono

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22 Apr

I will discuss the remaining part of my earlier talk on Rele

vance Vector Machine (RVM). The main paper of discussion will be: M. A. Figueiredo, A. K. Jain, "Bayesian Learning of S

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May

20 May

The paper for Monday, 05/20: Shape Matching and Object Reco

gnition Using Shape Contexts Serge Belongie, Jitendra Malik and Jan Puzicha PAMI, 24(4):509-522, April 2002.

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06 May

I will discuss the work of Peter Meer and his students on no

nlinear errors-in-variables estimation, a technique which has broad applicability in computer vision in addition to bein

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June

10 Jun

ECCV Review Session List of Papers Discussed. ECCV 2002

Conference Page.

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17 Jun

I will be discussing "Tensor Voting" by Gerard Medioni and g

roup. You can find many papers online, but I found this one easier to understand. C.-K. Tang, M.-S. Lee, G. Medioni, "T

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26 Jun

Hannes is a PhD student of Bernt Schiele at ETH Zurich (www.

vision.ethz.ch/pccv) visiting the Robot Learning Lab of Sebastian Thrun for this summer. The title of his talk is: "

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