poster.tex 6.84 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
\documentclass[final]{beamer}
\usepackage{grffile}
\mode<presentation>{\usetheme{IST}}
\usepackage[english]{babel}
\usepackage{setspace}
%\usepackage[latin1]{inputenc}
%\usepackage[T1]{fontenc}
\usepackage[scaled]{helvet}

%\usepackage{algorithm}
%\usepackage{algorithmic}
%\usepackage{framed}
%\usepackage{mathrsfs}
%\usepackage{stmaryrd} % for /llbracket, /rrbracket
%\usepackage{rotating}
%\usepackage[nointegrals]{wasysym} % for \smiley, \frownie
\usepackage{marvosym}  % \Smiley{} \Frowny{}

\usepackage{pifont}
\usepackage{tikz}
\usetikzlibrary{chains,fit,shapes}
\newcommand{\mytoprule}{\specialrule{1em}{0em}{0em}}
\newcommand{\mybottomrule}{\specialrule{1em}{0em}{0em}} 

\newcommand{\bphi}{\boldmath{\phi}}

\usepackage{array}
\newcolumntype{L}[1]{>{\raggedright\let\newline\\\arraybackslash\hspace{0pt}}m{#1}}
\newcolumntype{C}[1]{>{\centering\let\newline\\\arraybackslash\hspace{0pt}}m{#1}}
\newcolumntype{R}[1]{>{\raggedleft\let\newline\\\arraybackslash\hspace{0pt}}m{#1}}

\usepackage{amsmath,amsthm, amssymb, latexsym}
%\usepackage{times}\usefonttheme{professionalfonts}  % obsolete
%\usefonttheme[onlymath]{serif}
\boldmath
Christoph Lampert's avatar
Christoph Lampert committed
36
\usepackage[orientation=landscape,size=a1,scale=1.4, debug]{beamerposter}
37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73
% change list indention level
% \setdefaultleftmargin{3em}{}{}{}{}{}

%\setlength{\oddsidemargin}{.5cm} % adjust as necessary

%\usepackage{snapshot} % will write a .dep file with all dependencies, allows for easy bundling

%\usepackage{array,booktabs,tabularx}
%\newcolumntype{Z}{>{\centering\arraybackslash}X} % centered tabularx columns
%\newcommand{\pphantom}{\textcolor{lightgray}} % phantom introduces a vertical space in p formatted table columns??!!

\usepackage{graphicx}
\usepackage{subfigure}
\usepackage{amsmath,amssymb,stmaryrd}
%\usepackage{hyperref}
%
\usepackage{color, colortbl}

%\listfiles
\definecolor{redbg}{rgb}{0.8,0.08,0.1}
\newenvironment<>{redblock}[1]{%
  \begin{actionenv}#2%
      \def\insertblocktitle{#1}%
      \par%
      \mode<presentation>{%
        \setbeamercolor{block title}{fg=white,bg=redbg}
       \setbeamercolor{block body}{fg=black,bg=white}
       \setbeamertemplate{itemize item}[default]
     }%
      \usebeamertemplate{block begin}}
    {\par\usebeamertemplate{block end}\end{actionenv}}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\graphicspath{{images/}}
\setbeamertemplate{itemize item}[default]

%\title{\LARGE iCaRL: incremental Classifier and Representation Learning}
Amelie Royer's avatar
Amelie Royer committed
74
\title{Computer Vision and Machine Learning}
Christoph Lampert's avatar
Christoph Lampert committed
75
\author{~}
Amelie Royer's avatar
Amelie Royer committed
76
\institute{\vskip-.5\baselineskip\large Institute of Science and Technology (IST) Austria, 3400 Klosterneuburg, Austria}
77 78 79 80 81 82

%\institute{~}%Christoph Lampert} %\textsuperscript{1} ENS Rennes (Ecole Normale Sup\'{e}rieure de Rennes), Rennes, France \textsuperscript{2} IST Austria (Institute of Science and Technology Austria), Klosterneuburg, Austria}
%\date[]{}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\newlength{\columnheight}
Christoph Lampert's avatar
Christoph Lampert committed
83
\setlength{\columnheight}{40cm}
84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141
\setlength{\columnsep}{1cm}

\renewcommand{\P}{\pmb{\mathbb{P}}}
\newcommand{\R}{\pmb{\mathbb{R}}}
\newcommand{\Rcal}{\pmb{\mathcal{R}}}
\renewcommand{\H}{\pmb{\mathbb{H}}}
\newcommand{\Hcal}{\pmb{\mathcal{Hcal}}}

\newcommand{\E}{\mathcal{E}}
\newcommand{\F}{\mathcal{F}}
\newcommand{\G}{\mathcal{G}}
\renewcommand{\L}{\mathcal{L}}
\renewcommand{\P}{\mathbb{P}}
\newcommand{\V}{V} % {\mathcal{V}} 
\renewcommand{\S}{\mathcal{S}}
\newcommand{\X}{\mathcal{X}}
\newcommand{\x}{\mathbf{x}}
\newcommand{\Y}{\mathcal{Y}}
\newcommand{\Z}{\mathcal{Z}}
\usepackage{xspace}

\newcommand{\argmax}{\operatorname*{argmax}}
\newcommand{\argmin}{\operatorname*{argmin}}

\newcommand{\res}[2] {{\normalsize #1~$\pm$~#2}}
\newcommand{\resbold}[2] {{\textbf{\normalsize #1~$\pm$~#2}}}
\newcommand\nounfmt[1]{\textit{#1}}
\newcommand\imagenetfmt[1]{\underline{\textit{#1}}}
% abbr. with correct spacing
\makeatletter
\DeclareRobustCommand\onedot{\futurelet\@let@token\@onedot}
\def\@onedot{\ifx\@let@token.\else.\null\fi\xspace}
\def\iid{{i.i.d}\onedot}\def\Iid{{I.i.d}\onedot}
\def\eg{{e.g}\onedot} \def\Eg{{E.g}\onedot}
\def\ie{{i.e}\onedot} \def\Ie{{I.e}\onedot}
\def\cf{{c.f}\onedot} \def\Cf{{C.f}\onedot}
\def\etc{{etc}\onedot} \def\vs{{vs}\onedot}
\def\wrt{w.r.t\onedot} \def\dof{d.o.f\onedot}
\def\etal{\emph{et al}\onedot}
\makeatother

\setlength{\fboxrule}{5pt}

\definecolor{darkcyan}{RGB}{0,192,192}
\definecolor{darkyellow}{RGB}{192,192,0}
\definecolor{darkred}{RGB}{128,0,64}

\newlength{\blockskip}
\setlength{\blockskip}{.5\baselineskip}

\newcommand<>{\blue}[1]{\textcolor#2{blue}{#1}}
\newcommand<>{\bblue}[1]{\textcolor#2{blue}{\bf #1}}

\begin{document}
\begin{frame}

\vspace*{-1.5cm}

Christoph Lampert's avatar
Christoph Lampert committed
142 143 144 145 146 147 148 149
\vskip-1cm
\begin{columns}[t]
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%% First COlumn
\ \ \ \begin{column}{.49\textwidth}
\begin{block}{\Large Our Research}

  \newcommand{\peopleheight}{4cm}
Amelie Royer's avatar
Amelie Royer committed
150 151 152 153 154 155 156 157 158 159 160
  \begin{center}
    \includegraphics[height=\peopleheight{}]{people/clampert.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/akolesnikov-new.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/nkonstan.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/apentina-new.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/bphuong.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/srebuffi.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/aroyer.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/gsperl.jpg} ~~
    \includegraphics[height=\peopleheight{}]{people/azimin.jpg} ~~
  \end{center}
161 162 163 164

\bigskip
Object categorization methods are trained to recognize \textbf{1000s of classes}:

Christoph Lampert's avatar
Christoph Lampert committed
165
\end{block}
166

Christoph Lampert's avatar
Christoph Lampert committed
167
\begin{block}{\Large Example: Fine-tuning}
168

Christoph Lampert's avatar
Christoph Lampert committed
169 170 171
  \begin{center}
    yes%\includegraphics{dummy} ~~
  \end{center}
172 173 174

\end{block}

Christoph Lampert's avatar
Christoph Lampert committed
175
\begin{block}{\Large Example: Distillation}
Amelie Royer's avatar
Amelie Royer committed
176

Christoph Lampert's avatar
Christoph Lampert committed
177 178 179
  \begin{center}
    yes%\includegraphics{dummy} ~~
  \end{center}
180 181 182

\end{block}

Christoph Lampert's avatar
Christoph Lampert committed
183 184
\end{column}
%
185 186


Christoph Lampert's avatar
Christoph Lampert committed
187
\ \ \begin{column}{.495\textwidth}
188 189


Christoph Lampert's avatar
Christoph Lampert committed
190 191 192 193 194
\begin{block}{\Large Example: Class-incremental learning}

  \begin{center}
    yes%\includegraphics{dummy} ~~
  \end{center}
195 196

\bigskip
Christoph Lampert's avatar
Christoph Lampert committed
197
Object categorization methods are trained to recognize \textbf{1000s of classes}:
198 199 200 201

\end{block}


Christoph Lampert's avatar
Christoph Lampert committed
202
\begin{block}{\Large Example: Multi-task Learning}
203

Christoph Lampert's avatar
Christoph Lampert committed
204 205 206
  \begin{center}
    yes%\includegraphics{dummy} ~~
  \end{center}
Amelie Royer's avatar
Amelie Royer committed
207

Christoph Lampert's avatar
Christoph Lampert committed
208 209
\bigskip
Object categorization methods are trained to recognize \textbf{1000s of classes}:
Amelie Royer's avatar
Amelie Royer committed
210

Christoph Lampert's avatar
Christoph Lampert committed
211 212 213
\end{block}

\begin{block}{\Large Example: Multi-output Distillation}
214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235
\textbf{Situation:}
\begin{itemize}
\item classes appear sequentially (or in batches) % $c_1,c_2,\dots,c_T$
\item each class $y$ has training images $X^y=\{x^y_1,\dots,x^y_{n_y}\}$
\end{itemize}

\bigskip
\textbf{We want to/we can:}
\begin{itemize}
\item for any number of observed classes, $t$, learn a multi-class classifier% for $c_1,\dots,c_t$
\item store a certain number, $K$, of images (a few hundreds or thousands)
\end{itemize}
\end{block}

\end{column}
\end{columns}
 
\end{frame}


\end{document}