2006 Talks

November

Date

Presenter

Description Talks Info

29 Nov
Jonathan Huang

Simultaneous Inference of View and Body Pose Using Torus Manifolds

I'll provide an overview of several recent manifold learning

papers which emphasize the role of topology rather than geometry. They are listed below. Simultaneous Inference of Vie

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08 Nov
Stano Funiak

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data

NOTE: This week's meeting will be in NSH 3001! Discriminati

ve Learning of Markov Random Fields for Segmentation of 3D Scan Data. D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller

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December

Date

Presenter

Description Talks Info

13 Dec
Christopher Geyer

Euclid meets Fourier: Applying harmonic analysis to essential matrix estimation in omnidirectional cameras

I will talk about some work that I did while at Berkeley in

doing structure-from-motion without reliable correspondences, or correspondence inlier rates which may be smaller than 1

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20 Dec
Black "Friday"

No Meeting

No Meeting

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27 Dec
Winter Break

No Meeting

No Meeting

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06 Dec
All CVPR Submitters

"CVPR De-Briefing"

"CVPR De-Briefing" Anyone who submitted to CVPR, please sen

d a link of the PDF of your submission to Andrew. We'll put them up on the projector to have a look at the figures, and

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February

Date

Presenter

Description Talks Info

01 Feb
Ranjith Unnikrishnan

Efficiently Solving Dynamic Markov Random Fields Using Graph Cuts

This week, I'll present two recent papers related to "Dynami

c Graph Cuts" by Pushmeet Kohli and Phil Torr from across the pond: Efficiently Solving Dynamic Markov Random Fields Us

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15 Feb
Derek Hoiem

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation

TextonBoost: Joint Appearance, Shape and Context Modeling fo

r Multi-Class Object Recognition and Segmentation J. Shotton, J. Winn, C. Rother, and A. Criminisi A link for the pape

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22 Feb
Goksel Dedeoglu

Abstract, paper and results

"Learning Depth from Single Monocular Images", Ashutosh Saxe

na, Sung H. Chung, Andrew Y. Ng, NIPS 18 Abstract, paper and results.

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08 Feb
Andrew Stein

Learning Layered Motion Segmentations of Video

I will present Kumar, Torr, and Zisserman's ICCV 2005 paper,

Learning Layered Motion Segmentations of Video Abstract: We present an unsupervised approach for learning a generativ

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