2004 Talks

March

Date

Presenter

Description Talks Info

31 Mar
Derek Hoiem

I'm presenting an overview/tutorial presentation on Adaboost.

I'm presenting an overview/tutorial presentation on Adaboost

(the vote was 3-2-1 adaboost-bayes nets-unlabeled data). I'll give some background, cover the basic adaboost algorithms

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April

Date

Presenter

Description Talks Info

28 Apr
Martial Hebert

I'll discuss the Brendan Frey paper on Epitomic Analysis.

I'll discuss the Brendan Frey paper on Epitomic Analysis (

href="http://ieeexplore.ieee.org/iel5/8769/27772/01238311.pdf?isNumber=27772&prod=CNF&arnumber=1238311&arSt

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January

Date

Presenter

Description Talks Info

21 Jan
Andrew Stein

I've selected the following two papers to discuss at next week's group meeting

I've selected the following two papers to discuss at next we

ek's group meeting. They are both from the most recent ICCV. They are somewhat related in that each incorporates tempora

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28 Jan
Tal Blum

Spectral Histogram Based Face Detection

I will be presenting the papers: Spectral Histogram Based F

ace Detection by Christopher Waring and Xiuwen Liu. Proceedings of the International Joint Conference on Neural Networks

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October

Date

Presenter

Description Talks Info

13 Oct
Cancelled

10/13/2004 25th Anniversary Robotics Symposium

25th Anniversary Robotics Symposium (Schedule here)

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20 Oct
Bart Nabbe

10/20/2004 Epipolar Geometry from Three Correspondences

Epipolar Geometry from Three Correspondences Chum, Matas, O

bdrzalek The paper describes LO-RANSAC 3-LAF – a new algorithm for the correspondence problem; Exploiting processes p

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27 Oct
Ting Liu

10/27/2004 This paper concerns approximate nearest neighbor searching algorithms, which have become increasingly important, especially in high dimensional perception areas such as computer vision, with dozens of publications in recent years

This paper concerns approximate nearest neighbor searching a

lgorithms, which have become increasingly important, especially in high dimensional perception areas such as computer vi

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06 Oct
Sanjiv Kumar

10/6/2004 Max-Margin Markov Networks

I will talk about the following work on learning markov netw

orks from Stanford learning group: Max-Margin Markov Networks, B. Taskar, C. Guestrin and D. Koller. Neural Information

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November

Date

Presenter

Description Talks Info

10 Nov
Srinivasa Narasimhan

11/10/2004 Programmable Imaging using a Digital Micromirror Array

I will be presenting the recent CVPR paper which won an awar

d: Programmable Imaging using a Digital Micromirror Array S. K. Nayar, V. Branzoi, and T. Boult Proceedings of IEEE C

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17 Nov
Andrew Stein

11/17/2004 Scale-invariant shape features for recognition of object categories

Scale-invariant shape features for recognition of object cat

egories Frederic Jurie and Cordelia Schmid CVPR 2004 Abstract: We introduce a new class of distinguished regions bas

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