PDF Report: Unknown Bigrams

of the	1433
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carnegie mellon	237
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hong kong	229
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chinese academy	208
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state university	165
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http www	156
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stanford university	85
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pa usa	84
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new york	74
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electronic engineering	68
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microsoft research	67
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electronics and	67
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maryland college	66
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model for	66
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ma usa	57
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ny usa	56
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michigan state	54
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science engineering	53
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head pose	53
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ef cient	52
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we present	52
massachusetts institute	52
approach for	52
the number	52
support vector	52
peking university	52
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object detection	51
assistant professor	51
invariant face	51
engineering department	51
dictionary learning	51
eth zurich	51
shiguang shan	51
for each	50
correspondence should	50
psychology university	50
machine vision	50
the other	50
facial images	49
columbia university	49
facial features	49
urbana champaign	49
action unit	49
of mathematics	49
volume article	49
automation chinese	49
computing and	49
the rst	49
metric learning	49
max planck	48
shenzhen institutes	48
commons attribution	48
of each	48
computer interaction	48
technical university	48
of washington	48
feature selection	47
sparse representation	47
models for	47
and face	47
action units	47
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of surrey	47
framework for	46
it has	46
for image	46
ieee transactions	46
barcelona spain	46
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human face	46
the training	46
tel aviv	46
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university pittsburgh	45
technical report	45
dimensionality reduction	45
mathematics and	45
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laboratory for	45
wang and	45
automatic facial	45
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that can	45
to this	45
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maja pantic	44
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planck institute	44
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deep neural	44
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vol issue	44
institute carnegie	44
national institute	44
high dimensional	44
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to improve	44
cas beijing	44
human action	44
technological university	44
computer applications	44
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zhang and	43
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automatic face	43
corresponding author	43
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nanyang technological	42
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engineering science	41
fine grained	41
at urbana	41
representation for	41
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weakly supervised	41
the recognition	41
image analysis	41
tokyo japan	41
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and security	41
speech and	41
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low resolution	41
andrew zisserman	40
jeffrey cohn	40
the following	40
of southern	40
southern california	40
this material	40
issn online	40
anil jain	40
recognition systems	40
the creative	40
do not	40
our method	40
features and	40
associated with	40
computing technology	40
singapore singapore	40
indian institute	39
rights reserved	39
an image	39
of london	39
de ned	39
university college	39
nanjing university	38
of new	38
and computing	38
eurasip journal	38
active appearance	38
rutgers university	38
to cite	38
provided the	38
pose and	38
the visual	38
to recognize	38
in many	38
system for	38
data and	38
super resolution	38
engineering national	38
of central	38
activity recognition	38
electrical computer	37
multi task	37
the first	37
shanghai china	37
image retrieval	37
van gool	37
cite this	37
experimental results	37
of image	37
analysis for	37
information sciences	37
all rights	37
xilin chen	37
recognition under	37
the authors	37
north carolina	37
video based	37
and electronic	37
we are	37
cornell university	36
australian national	36
of thessaloniki	36
is that	36
luc van	36
deep convolutional	36
object recognition	36
binary pattern	36
to extract	36
united states	36
domain adaptation	36
to learn	36
university usa	36
from video	36
software engineering	35
supervised learning	35
and pattern	35
cation using	35
by using	35
facial emotion	35
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the use	35
unconstrained face	35
the user	35
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all the	35
based methods	35
from face	35
when the	35
for robust	35
processing and	35
improve the	35
of cse	35
is available	35
queen mary	35
li and	35
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systems and	35
central florida	35
state key	35
we use	35
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the model	34
published version	34
landmark localization	34
access article	34
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distribution and	34
original work	34
kristen grauman	34
for this	34
of data	34
the last	34
of social	34
we also	34
on computer	34
on facial	34
thesis submitted	34
of all	33
polytechnic institute	33
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the work	33
pose invariant	33
and systems	33
algorithm for	33
md usa	33
model based	33
to achieve	33
to solve	33
affective computing	33
training data	33
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research and	33
on face	33
at austin	33
stony brook	33
california berkeley	33
where the	33
of tokyo	33
communication engineering	33
taipei taiwan	33
linear discriminant	33
tehran iran	33
aviv university	33
cation and	33
subspace clustering	32
for automation	32
principal component	32
la torre	32
at http	32
the department	32
https doi	32
to facial	32
appearance models	32
the video	32
the best	32
permits unrestricted	32
is properly	32
of features	32
the feature	32
the results	32
polytechnic university	32
and then	32
technische universit	32
facial image	32
an important	32
liu and	32
technology sydney	32
at unchen	32
of north	32
gesture recognition	32
th international	32
video classi	31
automation research	31
people with	31
the shape	31
the paper	31
aristotle university	31
thessaloniki greece	31
this version	31
deep face	31
detection using	31
of michigan	31
the images	31
and intelligent	31
the accuracy	31
dr ing	31
for vision	31
mary university	31
in our	31
fraser university	31
in figure	31
in social	31
machine intelligence	31
of posts	31
posts and	31
been accepted	31
we will	31
facial landmarks	31
of toronto	30
computer sciences	30
vision lab	30
in facial	30
zhen lei	30
not the	30
nanjing china	30
article distributed	30
unrestricted use	30
any medium	30
medium provided	30
jiaotong university	30
engineering research	30
illumination and	30
of oulu	30
into the	30
of research	30
during the	30
vector machine	30
simon fraser	30
the development	30
chen and	30
as follows	30
google research	30
learning based	30
signi cant	30
at www	29
information systems	29
in unconstrained	29
from facial	29
images with	29
come from	29
which permits	29
use distribution	29
and reproduction	29
classi ers	29
recent years	29
the computer	29
and their	29
biometrics and	29
academic editor	29
learning with	29
proposed method	29
in human	29
amsterdam the	29
methods for	29
the scene	29
human robot	29
national taiwan	29
shanghai jiao	29
jiao tong	29
of nottingham	28
information about	28
we show	28
of twente	28
thomas huang	28
landmark detection	28
zero shot	28
vision center	28
representations for	28
of massachusetts	28
for learning	28
to detect	28
shenzhen key	28
of visual	28
attribution license	28
transfer learning	28
robust facial	28
xiaogang wang	28
technology chinese	28
engineering college	28
electronic and	28
ku leuven	28
for large	28
cordelia schmid	28
use the	28
taiwan university	28
east lansing	28
tong university	28
and telecommunications	28
dissertation submitted	28
and peter	28
tx usa	27
please contact	27
material for	27
downloaded from	27
noname manuscript	27
georgia institute	27
images for	27
more information	27
learning from	27
and david	27
face analysis	27
id pages	27
of software	27
properly cited	27
of different	27
been proposed	27
ef icient	27
of pennsylvania	27
gender classi	27
and pose	27
in particular	27
west virginia	27
seoul korea	27
of deep	27
this chapter	27
on intelligent	27
of ece	27
normal university	27
for all	27
generative adversarial	27
intelligence and	27
we can	27
and software	26
yu qiao	26
to identify	26
the open	26
in other	26
nd the	26
signi cantly	26
and expression	26
whether they	26
teaching and	26
limin wang	26
of doctor	26
features are	26
research group	26
in image	26
we have	26
recognition has	26
the local	26
face representation	26
to end	26
which can	26
multi view	26
xiaoming liu	26
this study	26
human faces	26
issn print	26
expression and	26
of cambridge	26
shape and	26
however the	26
sun yat	26
yat sen	26
zurich switzerland	26
does not	26
optical flow	26
china university	26
pattern analysis	26
the past	26
massachusetts amherst	26
istanbul turkey	26
robotics and	26
the object	26
if the	26
this problem	25
rensselaer polytechnic	25
appearance based	25
of emotional	25
peer reviewed	25
personal use	25
no august	25
de lausanne	25
video processing	25
for more	25
is multi	25
ann arbor	25
are the	25
nicu sebe	25
our approach	25
to build	25
to obtain	25
oulu finland	25
for biometrics	25
latex class	25
class files	25
extracted from	25
it can	25
than the	25
la jolla	25
recognition via	25
local features	25
of objects	25
engineering technology	25
images are	25
chen change	25
change loy	25
research portal	25
lei zhang	25
the hong	25
kong polytechnic	25
university singapore	25
lior wolf	25
zhejiang university	25
algorithms for	24
science the	24
of people	24
the full	24
and rama	24
video and	24
and tracking	24
to publication	24
this document	24
from public	24
dataset for	24
ecole polytechnique	24
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the documents	24
may come	24
or from	24
of interest	24
system and	24
the robotics	24
hindawi publishing	24
publishing corporation	24
the two	24
conference paper	24
visual attributes	24
security research	24
face reconstruction	24
applied sciences	24
of automatic	24
of training	24
the journal	24
on automatic	24
sen university	24
recognition for	24
of video	24
correspondence tel	24
the task	24
the identity	24
the input	24
of any	24
in section	24
michigan ann	24
of computational	24
of latex	24
to have	24
of statistics	24
and cognitive	24
this journal	24
for computer	24
and low	23
and are	23
open university	23
and gender	23
images using	23
based facial	23
and ioannis	23
the published	23
if you	23
dimitris metaxas	23
ieee international	23
multi disciplinary	23
disciplinary open	23
rchive for	23
the deposit	23
deposit and	23
of sci	23
research documents	23
documents whether	23
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research institutions	23
in france	23
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private research	23
research centers	23
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ouverte pluridisciplinaire	23
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hal est	23
la diffusion	23
de documents	23
de niveau	23
niveau recherche	23
recherche publi	23
ou non	23
recherche fran	23
des laboratoires	23
ou priv	23
recognition algorithms	23
in terms	23
tel fax	23
through the	23
al this	23
the high	23
for age	23
delhi india	23
is more	23
single image	23
key words	23
files vol	23
unsupervised learning	23
the current	23
the ability	23
sciences cas	23
of them	23
vision speech	23
feature based	23
large number	23
ground truth	23
beijing university	23
each other	23
virginia university	23
adobe research	23
of machine	23
machine perception	23
face hallucination	23
not been	23
these methods	23
differences between	23
and robotics	23
decision making	23
josef kittler	23
speci cally	23
arizona state	23
for publication	23
for object	22
vishal patel	22
tal hassner	22
research online	22
for pose	22
was submitted	22
action localization	22
electronics engineering	22
on artificial	22
extraction and	22
research asia	22
as conference	22
at iclr	22
illumination invariant	22
under varying	22
for real	22
vision group	22
research national	22
regression for	22
ai research	22
article was	22
www frontiersin	22
frontiersin org	22
the research	22
and illumination	22
expressions and	22
for recognition	22
is very	22
of two	22
international joint	22
guangzhou china	22
and social	22
for information	22
brook university	22
received march	22
for machine	22
tracking and	22
methods have	22
devi parikh	22
detection with	22
south china	22
cation with	22
and electronics	22
on machine	22
los angeles	22
notre dame	22
still images	22
california institute	22
natural language	22
such that	22
brain science	22
in recent	22
and vision	22
to determine	22
for instance	21
matrix factorization	21
of defense	21
works for	21
adversarial networks	21
harbin institute	21
learned miller	21
the second	21
cas china	21
kong china	21
institute university	21
ibm watson	21
recognition rate	21
binary patterns	21
and local	21
while the	21
and analysis	21
original research	21
of emotions	21
data for	21
idiap research	21
expressions are	21
studies have	21
and other	21
an efficient	21
low dimensional	21
for intelligent	21
dacheng tao	21
about the	21
technology beijing	21
and electrical	21
and anil	21
reduce the	21
is still	21
georgios tzimiropoulos	21
using local	21
with deep	21
of trento	21
on pattern	21
the dataset	21
paris france	21
computational intelligence	21
and human	21
perception and	21
visual geometry	21
geometry group	21
event detection	21
data points	21
article has	21
northeastern university	21
the method	21
university nanjing	20
new jersey	20
to address	20