2002 Talks

March

Date

Presenter

Description Talks Info

25 Mar
Owen Carmichael

3/25/2002 P. Belhumeur and D. Kriegman, "What Is the Set of Images of an Object Under All Possible Illumination Conditions?" Int. Journal of Computer Vision, 28(3), 1998, PP. 245-60

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
Tom Minka

3/4/2002 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 right probabilistic image model. This model has connections with eigenvector-based segmentation and matching by mutual information.

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

Date

Presenter

Description Talks Info

01 Apr
Matt Deans

4/1/2002 Y. Caspi and M. Irani, Alignment of Non-Overlapping Sequences. IEEE International Conference on Computer Vision (ICCV), Vancouver, July 2001

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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15 Apr
Everyone

4/15/2002 Short scheduling meeting.

Short scheduling meeting.

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22 Apr
Sanjiv Kumar

4/22/2002 M. A. Figueiredo, A. K. Jain, "Bayesian Learning of Sparse Classifiers," IEEE CVPR, Hawaii 2001

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

Date

Presenter

Description Talks Info

20 May
Goksel Dedeoglu

5/20/2002 Shape Matching and Object Recognition Using Shape Contexts Serge Belongie, Jitendra Malik and Jan Puzicha PAMI, 24(4):509-522, April 2002.

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
Tom Minka

5/6/2002 I will discuss the work of Peter Meer and his students on nonlinear errors-in-variables estimation, a technique which has broad applicability in computer vision in addition to being theoretically interesting

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

Date

Presenter

Description Talks Info

10 Jun
Sanjiv Kumar

6/10/2002 ECCV Review Session

ECCV Review Session List of Papers Discussed. ECCV 2002

Conference Page.

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17 Jun
Raghu Rao

6/17/2002 I will be discussing "Tensor Voting" by Gerard Medioni and group. You can find many papers online, but I found this one easier to understand.

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 Kruppa

6/26/2002 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.

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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