2007 Talks

January

Date

Presenter

Description Talks Info

10 Jan
Caroline Pantofaru

NIPS Overview

NIPS Overview

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17 Jan
Marius Leordeanu

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields

Learning to Model Spatial Dependency: Semi-Supervised Discri

minative Random Fields from NIPS 06, by Chi-Hoon Lee et all with the background paper: Semi supervised conditional

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24 Jan
Andrew Stein

Analysis of Contour Motions

I'll focus on the following paper, which won an Outstanding

Student Paper Award at the most recent NIPS conference: Analysis of Contour Motions, Ce Liu, William T. Freeman, and E

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03 Jan
David Bradley

Today I will be presenting a short overview of several papers from NIPS 06

Today I will be presenting a short overview of several paper

s from NIPS 06. They are: Randomized Clustering Forests for Building Fast and Discriminative Visual Vocabularies Frank

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31 Jan
Tom Stepleton

This Wednesday I'll be presenting a tutorial introduction to Dirichlet Process Mixture Models (DPMs), the flexible, nonparametric Bayesian method for clustering with variable numbers of clusters (among other things).

This Wednesday I'll be presenting a tutorial introduction to

Dirichlet Process Mixture Models (DPMs), the flexible, nonparametric Bayesian method for clustering with variable numbe

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October

Date

Presenter

Description Talks Info

10 Oct
James Hays

TBA

TBA

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17 Oct
No Meeting

ICCV - Meeting Cancelled.

ICCV - Meeting Cancelled.

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24 Oct
No Meeting

Intel Open House

Intel Open House. ICCV Overview postponed to next week.

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03 Oct
Yan Ke

16:30 I'll be giving a practice job talk about my work in using volumetric features for event detection

Note that we're switching to a 4:30 start time! I'll be g

iving a practice job talk about my work in using volumetric features for event detection. It's based on the following pa

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31 Oct
Alyosha Efros

ICCV Overview

ICCV Overview

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