PDF Report: Unknown Bigrams

From 45e0625bcbc2c7f041b8c5d177c5dcf487f07d26 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Fri, 14 Dec 2018 02:31:14 +0100 Subject: new reports --- scraper/reports/pdf_unknown_bigrams.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'scraper/reports/pdf_unknown_bigrams.html') diff --git a/scraper/reports/pdf_unknown_bigrams.html b/scraper/reports/pdf_unknown_bigrams.html index e04bafda..a34fbe4d 100644 --- a/scraper/reports/pdf_unknown_bigrams.html +++ b/scraper/reports/pdf_unknown_bigrams.html @@ -1 +1 @@ -PDF Report: Unknown Bigrams

PDF Report: Unknown Bigrams

of the	1403
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computer engineering	234
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engineering and	193
electrical engineering	192
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this paper	176
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carnegie mellon	163
mellon university	162
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ieee and	130
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this work	123
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chinese academy	121
action recognition	121
the university	120
information technology	120
state university	118
the same	116
doi org	109
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face images	103
this article	100
the requirements	100
deep learning	100
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veri cation	98
emotion recognition	97
feature extraction	95
at the	92
vision and	92
identi cation	91
of philosophy	91
national university	89
information engineering	89
large scale	87
in computer	87
neural network	86
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the art	85
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machine learning	83
the netherlands	82
research article	82
signal processing	82
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detection and	81
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convolutional neural	77
dx doi	76
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face and	71
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engineering university	71
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pa usa	70
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science university	70
recognition system	70
united kingdom	70
volume issue	69
partial ful	69
expression analysis	68
key laboratory	68
face alignment	68
for action	67
of our	67
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analysis and	66
ful llment	66
in video	65
international conference	65
age estimation	65
under the	64
face image	64
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of chinese	63
based face	62
san diego	62
ca usa	62
image processing	62
human computer	62
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face veri	61
cial intelligence	61
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new york	61
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college park	60
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for example	60
science department	59
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there are	59
be used	59
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method for	58
using the	58
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centre for	58
of emotion	58
computer and	57
in face	57
image and	57
electronics and	57
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research center	56
facial landmark	56
model for	56
creative commons	56
real world	56
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they are	55
the main	55
research institute	55
show that	54
networks for	54
an open	54
in any	54
of automation	54
the chinese	54
imperial college	53
for video	53
graduate school	53
technology and	53
for human	53
the data	53
facial action	52
we present	52
recognition based	52
the number	52
spatio temporal	52
chinese university	52
in videos	51
assistant professor	51
component analysis	51
recognition from	51
pose estimation	51
and communication	51
and recognition	51
for each	50
information processing	50
and applications	50
correspondence should	50
local binary	50
the other	50
for research	50
the performance	49
information and	49
volume article	49
support vector	49
object detection	48
of intelligent	48
science engineering	48
commons attribution	48
head pose	48
approach for	48
the rst	48
of each	48
low rank	48
facial images	47
facial features	47
national laboratory	47
computing and	47
it has	46
sparse representation	46
ieee transactions	46
eth zurich	46
of electronic	46
in which	46
of images	46
published online	46
computer interaction	46
ny usa	46
discriminant analysis	46
feature selection	45
stefanos zafeiriou	45
to face	45
of pattern	45
dictionary learning	45
the human	45
and face	45
automatic facial	45
the system	45
sciences beijing	45
the training	45
that can	45
to this	45
electronic engineering	45
technical university	45
technical report	44
invariant face	44
which are	44
massachusetts institute	44
human face	44
semi supervised	44
in addition	43
key lab	43
be inserted	43
received date	43
accepted date	43
ma usa	43
features for	43
between the	43
over the	43
rama chellappa	42
ef cient	42
the editor	42
date accepted	42
barcelona spain	42
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of china	42
intelligent systems	42
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images and	42
action units	42
in real	42
to improve	42
shiguang shan	42
corresponding author	42
university china	42
computer applications	42
available online	41
network for	41
are not	41
framework for	41
accepted for	41
and research	41
engineering department	41
national institute	41
and facial	41
high dimensional	41
low resolution	41
maryland college	40
of faces	40
the following	40
this material	40
the creative	40
do not	40
the recognition	40
vol issue	40
our method	40
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issn online	39
on image	39
rights reserved	39
machine vision	39
dimensionality reduction	39
associated with	39
of surrey	39
of amsterdam	39
image analysis	39
tsinghua university	39
de ned	39
robotics institute	38
of mathematics	38
eurasip journal	38
models for	38
to cite	38
recognition systems	38
artificial intelligence	38
provided the	38
microsoft research	38
michigan state	38
to recognize	38
in many	38
features and	38
an image	38
super resolution	38
metric learning	38
of texas	37
deep neural	37
of illinois	37
cite this	37
experimental results	37
technology cas	37
and its	37
system for	37
all rights	37
human action	37
recognition under	37
we are	37
the first	36
is that	36
mathematics and	36
pose and	36
psychology university	36
the visual	36
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the authors	36
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the state	35
maja pantic	35
representation for	35
action unit	35
by using	35
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data and	35
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learning and	35
engineering the	35
we use	35
activity recognition	35
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the model	34
of thessaloniki	34
published version	34
max planck	34
facial emotion	34
or not	34
the use	34
access article	34
distributed under	34
distribution and	34
original work	34
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binary pattern	34
analysis for	34
when the	34
the last	34
improve the	34
of social	34
we also	34
is available	34
california san	34
wang and	34
university beijing	34
university college	34
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of all	33
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of southern	33
southern california	33
the work	33
urbana champaign	33
anil jain	33
to achieve	33
for informatics	33
affective computing	33
speech and	33
cas beijing	33
of applied	33
where the	33
supervised learning	33
visual recognition	33
at http	32
https doi	32
and computing	32
van gool	32
shuicheng yan	32
active appearance	32
the best	32
permits unrestricted	32
is properly	32
the feature	32
stanford university	32
the results	32
to solve	32
and then	32
automatic face	32
an important	32
video based	32
xiaoou tang	32
on computer	32
thesis submitted	32
people with	31
intelligent information	31
shanghai china	31
indian institute	31
to facial	31
luc van	31
the images	31
the video	31
of features	31
planck institute	31
of singapore	31
object recognition	31
zhang and	31
tokyo japan	31
facial image	31
the accuracy	31
training data	31
and image	31
dr ing	31
processing and	31
research and	31
li and	31
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engineering national	31
model based	31
in figure	31
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taipei taiwan	31
in social	31
tehran iran	31
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pose invariant	30
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any medium	30
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illumination and	30
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xilin chen	30
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as follows	30
domain adaptation	30
signi cant	30
tel aviv	30
of washington	30
cation and	30
subspace clustering	29
jeffrey cohn	29
the shape	29
using deep	29
aristotle university	29
thessaloniki greece	29
landmark localization	29
come from	29
which permits	29
use distribution	29
and reproduction	29
recent years	29
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information sciences	29
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vector machine	29
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methods for	29
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linear discriminant	29
facial landmarks	29
software engineering	28
computer sciences	28
information about	28
we show	28
and pattern	28
to detect	28
of visual	28
attribution license	28
image retrieval	28
engineering research	28
and their	28
technische universit	28
technological university	28
at unchen	28
columbia university	28
cordelia schmid	28
systems and	28
use the	28
central florida	28
human robot	28
please contact	27
material for	27
downloaded from	27
principal component	27
in facial	27
noname manuscript	27
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id pages	27
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the computer	27
for robust	27
queen mary	27
liu and	27
engineering college	27
deep convolutional	27
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this chapter	27
peking university	27
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machine intelligence	27
we can	27
unconstrained face	27
in human	27
multi task	26
of new	26
to identify	26
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the paper	26
in other	26
at urbana	26
nd the	26
from facial	26
cation using	26
detection using	26
images for	26
more information	26
whether they	26
teaching and	26
of massachusetts	26
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this study	26
human faces	26
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ku leuven	26
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md usa	26
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vision lab	25
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face analysis	25
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class files	25
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signi cantly	25
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technology sydney	25
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taiwan university	25
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thomas huang	24
vision center	24
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hindawi publishing	24
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the two	24
kristen grauman	24
and security	24
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transfer learning	24
issn print	24
la jolla	24
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correspondence tel	24
california berkeley	24
the task	24
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the input	24
local features	24
normal university	24
pattern analysis	24
of any	24
massachusetts amherst	24
in section	24
learning from	24
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this journal	24
google research	24
algorithms for	23
and are	23
video and	23
peer reviewed	23
the published	23
if you	23
no august	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
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documents may	23
research institutions	23
in france	23
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ouverte pluridisciplinaire	23
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hal est	23
la diffusion	23
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de niveau	23
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ou non	23
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ou priv	23
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of interest	23
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and intelligent	23
tel fax	23
al this	23
the high	23
is more	23
face representation	23
ef icient	23
key words	23
files vol	23
of automatic	23
the current	23
the ability	23
of them	23
for vision	23
mary university	23
large number	23
ground truth	23
recognition for	23
of video	23
each other	23
singapore singapore	23
amsterdam the	23
north carolina	23
state key	23
east lansing	23
these methods	23
generative adversarial	23
of doctor	23
andrew zisserman	23
speci cally	23
istanbul turkey	23
of people	22
based facial	22
video classi	22
and tracking	22
research online	22
was submitted	22
extraction and	22
nanjing university	22
in image	22
under varying	22
polytechnic university	22
to end	22
applied sciences	22
article was	22
www frontiersin	22
frontiersin org	22
the research	22
and illumination	22
is very	22
feature based	22
of two	22
of toronto	22
stony brook	22
received march	22
methods have	22
for large	22
chen and	22
still images	22
differences between	22
such that	22
in recent	22
decision making	22
to determine	22
for publication	22
cornell university	21
for instance	21
and low	21
and gender	21
of twente	21
and ioannis	21
works for	21
for pose	21
deep face	21
the second	21
system and	21
jiaotong university	21
conference paper	21
institute carnegie	21
illumination invariant	21
recognition rate	21
binary patterns	21
while the	21
learning with	21
original research	21
of emotions	21
expressions are	21
studies have	21
through the	21
gender classi	21
and other	21
and expression	21
expressions and	21
low dimensional	21
international joint	21
electronic and	21
recognition via	21
about the	21
tracking and	21
reduce the	21
is still	21
engineering technology	21
using local	21
gesture recognition	21
on pattern	21
face hallucination	21
polytechnic institute	21
not been	21
the dataset	21
of computational	21
computational intelligence	21
of statistics	21
event detection	21
data points	21
article has	21
the method	21
tx usa	20
to address	20
matrix factorization	20
for inclusion	20
of use	20
is permitted	20
obtained from	20
landmark detection	20
systems for	20
nanjing china	20
or the	20
recognition algorithms	20
our system	20
and david	20
shenzhen institutes	20
electronics engineering	20
nicu sebe	20
visual attributes	20
springer science	20
science business	20
business media	20
illumination variations	20
are used	20
for real	20
to overcome	20
vision group	20
single image	20
and local	20
and analysis	20
the target	20
to human	20
sciences cas	20
not only	20
the person	20
wide range	20
for recognition	20
dacheng tao	20
video sequence	20
at austin	20
of machine	20
in part	20
this research	20
zurich switzerland	20
final publication	20
based approach	20
shanghai jiao	20
jiao tong	20
natural language	20
received july	20
to its	20
and human	20
robotics and	20
associate professor	20
and peter	20
in future	20
future issue	20
human activity	20
doi fpsyg	20
in psychology	20
university pittsburgh	19
the role	19
images using	19
australian national	19
of korea	19
non negative	19
ioannis pitas	19
of defense	19
follow this	19
and open	19
are available	19
and texture	19
new collective	19
to servers	19
or lists	19
be obtained	19
the ieee	19
zero shot	19
dataset for	19
dimitris metaxas	19
rutgers university	19
archives ouvertes	19
learned miller	19
of michigan	19
that our	19
springer verlag	19
received december	19
the set	19
spontaneous facial	19
lausanne switzerland	19
as conference	19
at iclr	19
cedex france	19
results show	19
which the	19
face reconstruction	19
is based	19
shown that	19
ai research	19
received may	19
idiap research	19
learning algorithms	19
the twenty	19
joint conference	19
of its	19
of biometric	19
in cvpr	19
and social	19
adobe research	19
gender and	19
note that	19
access control	19
visual information	19
received april	19
on machine	19
cation with	19
los angeles	19
notre dame	19
tong university	19
paris france	19
the robotics	19
of posts	19
posts and	19
and telecommunications	19
of their	19
non verbal	19
optimization problem	19
professor department	19
and cognitive	19
we introduce	19
video sequences	19
th international	19
the entire	19
has not	19
and software	18
objects and	18
more than	18
la torre	18
this and	18
and additional	18
additional works	18
free and	18
in accordance	18
for advertising	18
other works	18
volume number	18
the goal	18
been made	18
propose novel	18
hyderabad india	18
of software	18
recognition accuracy	18
de barcelona	18
then the	18
the literature	18
the key	18

\ No newline at end of file +PDF Report: Unknown Bigrams

PDF Report: Unknown Bigrams

of the	4760
in the	2840
computer science	2687
of computer	2418
face recognition	1920
science and	1502
to the	1498
member ieee	1381
of technology	1248
for the	1201
on the	1161
and the	858
computer vision	817
of electrical	785
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facial expression	778
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in this	758
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computer engineering	584
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international journal	571
facial expressions	570
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electrical engineering	565
that the	561
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this paper	505
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is the	479
the university	462
http www	451
this article	450
electrical and	438
have been	437
of facial	411
neural networks	402
the degree	395
doi org	394
of face	393
carnegie mellon	390
the face	385
mellon university	384
this work	384
re identi	380
expression recognition	380
the same	374
state university	372
at the	369
and information	365
senior member	356
as the	348
of sciences	347
ieee and	343
pattern recognition	341
real time	332
hong kong	326
recognition using	322
chinese academy	320
of computing	314
deep learning	314
information technology	313
pose estimation	299
with autism	297
in partial	296
the most	296
the requirements	292
object detection	292
new york	288
autism spectrum	285
fellow ieee	285
dx doi	284
neural network	283
of social	281
detection and	275
national university	272
machine learning	271
of philosophy	265
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student member	259
research article	256
large scale	255
of human	253
face detection	253
science university	252
in computer	248
convolutional neural	246
the proposed	245
key laboratory	244
vision and	243
arti cial	242
ca usa	242
learning for	240
as well	239
of these	237
individuals with	233
the author	231
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they are	227
of electronics	225
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engineering university	224
with asd	224
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information engineering	222
the art	220
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in social	194
face images	193
show that	192
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cial intelligence	191
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college london	190
information science	189
of electronic	188
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object recognition	187
in order	186
in autism	186
centre for	185
ef cient	184
using the	184
the human	184
electronics and	184
of automation	183
and communication	183
in which	181
published online	180
analysis and	178
image and	177
the rst	177
san diego	176
face processing	176
partial ful	175
the main	175
networks for	175
to this	175
for visual	174
in any	174
los angeles	174
ful llment	173
graduate school	171
of hong	170
computer and	169
rights reserved	169
research institute	168
human pose	168
the authors	168
recognition system	167
veri cation	167
for image	167
all rights	167
of faces	166
corresponding author	166
science department	165
max planck	164
volume issue	163
method for	163
and research	163
an open	162
microsoft research	162
children with	162
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eth zurich	158
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face and	157
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we use	152
and social	151
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of images	151
creative commons	151
the data	150
technical university	150
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in asd	150
for person	149
in video	149
information and	149
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to cite	148
real world	147
for each	147
an image	147
planck institute	147
of emotion	147
of psychiatry	147
between the	146
features for	146
spectrum disorders	146
it has	145
the number	145
we present	144
and its	143
recognition with	143
approach for	142
in addition	142
the facial	142
massachusetts institute	142
spectrum disorder	141
ma usa	141
studies have	141
the amygdala	141
or not	140
pedestrian detection	140
of chinese	139
the chinese	139
ny usa	138
the performance	138
of medicine	138
intelligent systems	137
commons attribution	137
technology and	136
of pattern	136
to learn	135
stanford university	135
images and	134
of china	133
and applications	133
signi cant	133
for research	133
conference paper	133
the problem	132
to make	132
framework for	132
chinese university	132
national laboratory	132
based face	131
barcelona spain	131
information processing	131
research and	131
the use	130
we show	130
deep neural	130
learning and	130
to face	130
semantic segmentation	129
www frontiersin	129
frontiersin org	129
computer applications	128
of maryland	128
for object	128
in our	128
as conference	128
pa usa	127
the results	127
of mathematics	127
shanghai china	127
which are	126
over the	126
and recognition	126
at iclr	126
suggest that	124
is that	124
face image	124
for this	123
we are	123
object tracking	122
key words	122
eye tracking	122
for more	122
social cognition	122
the eyes	122
van gool	121
be inserted	121
does not	121
university china	121
face perception	121
for video	120
the following	120
the system	120
the creative	120
of image	120
of interest	120
the visual	120
models for	119
of texas	119
the first	119
accepted for	119
not the	119
system for	118
association for	118
human computer	118
that can	118
image retrieval	117
the ability	117
features and	116
the editor	116
national institute	116
faces and	116
is also	116
processing and	116
luc van	115
to recognize	115
university college	115
doi fpsyg	114
assistant professor	114
tsinghua university	114
access article	113
original research	113
for informatics	113
computing and	113
of research	113
the paper	112
in many	112
during the	112
this version	112
and their	112
provided the	111
for computational	111
in terms	111
and face	111
tokyo japan	110
eye gaze	110
sciences beijing	110
of autism	109
ieee transactions	109
the recognition	109
of data	109
de ned	109
the department	109
human face	109
support vector	109
college park	108
ku leuven	108
is used	108
engineering department	108
computational linguistics	108
of intelligent	108
teaching and	108
recognition based	108
an important	107
of southern	107
to improve	107
this study	107
of oxford	107
question answering	106
feature selection	106
classi ers	106
our method	106
article was	106
in psychology	106
science engineering	106
data and	106
in particular	106
available online	105
facial features	105
of each	105
of london	105
wang and	105
distribution and	105
https doi	105
where the	105
and video	104
whether they	104
the social	104
component analysis	104
accepted date	104
about the	104
we have	104
when the	104
the development	103
by using	103
southern california	103
to extract	103
indian institute	103
issn online	103
local binary	103
laboratory for	103
technical report	102
than the	102
found that	102
imperial college	102
correspondence tel	102
on image	102
robust face	102
zero shot	102
received date	102
al and	102
of new	101
of illinois	101
of all	101
the model	101
high dimensional	101
ai research	101
into the	101
high level	101
of sci	101
the work	100
the object	100
more information	100
come from	100
generative adversarial	100
in human	100
in real	100
and then	100
and image	100
discriminant analysis	100
people with	99
for multi	99
information about	99
we can	99
distributed under	99
original work	99
and tracking	99
or from	99
sparse representation	99
not only	99
the current	99
low resolution	99
published version	98
of singapore	98
for action	98
date accepted	98
we also	98
of amsterdam	98
spatio temporal	97
this material	97
mathematics and	97
university beijing	97
the scene	96
semi supervised	96
the training	96
any medium	96
however the	96
the last	96
the two	96
is multi	96
and facial	96
vision center	96
are the	96
on computer	96
north carolina	96
we will	95
urbana champaign	95
permits unrestricted	95
downloaded from	95
recognition from	95
the present	95
compared with	95
visual recognition	95
and cognitive	95
pose and	94
of emotional	94
and reproduction	94
may come	94
from public	94
machine vision	94
methods for	94
of applied	94
cognition and	94
california san	94
or private	93
and systems	93
for instance	93
low rank	93
which permits	93
the documents	93
in other	93
social interaction	93
academic editor	93
of washington	93
our approach	92
key lab	92
and electronic	92
medium provided	92
is properly	92
and dissemination	92
private research	92
research centers	92
representation for	92
california los	92
of michigan	92
psychology and	92
and human	92
metric learning	92
in both	91
multi disciplinary	91
disciplinary open	91
rchive for	91
the deposit	91
deposit and	91
research documents	91
documents whether	91
are pub	91
documents may	91
research institutions	91
in france	91
archive ouverte	91
ouverte pluridisciplinaire	91
pluridisciplinaire hal	91
hal est	91
la diffusion	91
de documents	91
de niveau	91
niveau recherche	91
recherche publi	91
ou non	91
recherche fran	91
des laboratoires	91
ou priv	91
and pattern	91
and machine	91
chapel hill	91
fine grained	90
uc berkeley	90
all the	90
training data	90
article distributed	90
facial feature	90
thesis submitted	90
within the	90
communication engineering	89
of people	89
that this	89
use distribution	89
the journal	89
please contact	89
to detect	89
rather than	89
image analysis	89
latex class	89
software engineering	88
of central	88
on face	88
robotics institute	88
in videos	88
expression analysis	88
image classi	88
facial emotion	88
emotional expressions	88
visual question	88
weakly supervised	88
head pose	88
class files	88
the eye	88
detection using	87
the second	87
unrestricted use	87
of different	87
the best	87
experimental results	87
been accepted	87
signi cantly	87
for all	87
of latex	87
artificial intelligence	86
to identify	86
michigan state	86
at http	86
of toronto	86
ef icient	86
of their	86
of cse	86
multi view	85
the role	85
zhang and	85
from video	85
queen mary	85
automation chinese	85
vol issue	85
eurasip journal	85
duke university	85
social and	85
suggests that	85
to faces	85
the past	85
and other	85
and that	84
tel fax	84
analysis for	84
use the	84
university usa	84
is one	84
was supported	84
of any	84
in children	84
face alignment	83
engineering the	83
pattern analysis	83
the task	83
files vol	83
multi task	82
state key	82
systems and	82
of machine	82
face veri	82
of objects	82
the neural	82
the input	82
natural language	81
to achieve	81
the feature	81
attribution license	81
georgia institute	81
to obtain	81
this research	81
but not	81
computer sciences	80
recognition systems	80
and are	80
the full	80
jiaotong university	80
is available	80
tracking and	80
al this	80
jiao tong	80
appearance based	80
learning with	80
the presence	80
in section	80
of brain	80
images are	80
of deep	79
domain adaptation	79
properly cited	79
shanghai jiao	79
and computing	79
to social	79
nd the	79
nanjing university	79
speech and	79
under review	79
de lausanne	79
computer interaction	79
supervised learning	78
chen and	78
was submitted	78
tong university	78
images with	78
shown that	78
sciences and	78
perception and	78
transfer learning	77
speci cally	77
proposed method	77
mary university	77
facial action	77
engineering science	77
in figure	77
brain and	77
de barcelona	76
engineering research	76
the effect	76
archives ouvertes	76
vision group	76
partial fulfillment	76
from single	76
information sciences	76
of surrey	76
and signal	76
of object	76
ieee international	76
for intelligent	76
technological university	76
the target	76
dimensionality reduction	76
received april	76
asd and	76
improve the	76
the brain	76
shuicheng yan	75
id pages	75
for robust	75
re identification	75
of others	75
noname manuscript	75
and control	75
these results	75
but also	75
human faces	75
the user	75
paris france	75
authors and	75
among the	74
the state	74
learning based	74
york university	74
dissertation submitted	74
model based	74
which the	74
issn print	74
technische universit	74
machine intelligence	74
to have	74
age estimation	74
to whom	74
to end	74
cation and	74
the right	74
deep convolutional	73
central florida	73
the images	73
to address	73
more than	73
may not	73
and pose	73
adversarial networks	73
dictionary learning	73
bernt schiele	73
this journal	73
to solve	73
which can	73
to image	73
if the	73
the effects	73
of ece	73
california berkeley	73
berlin germany	73
for semantic	72
multi modal	72
dataset for	72
cornell university	72
vision laboratory	72
the study	72
the mouth	72
features are	72
the accuracy	72
li and	72
springer science	71
of use	71
if you	71
the public	71
at urbana	71
is more	71
this problem	71
sagepub com	71
australian national	71
in facial	71
peking university	71
the context	71
principal component	71
demonstrate that	71
lausanne switzerland	71
it can	71
of wisconsin	71
magnetic resonance	71
seoul korea	71
science business	70
business media	70
multi scale	70
information systems	70
low level	70
xiaogang wang	70
in contrast	70
based methods	70
research group	70
no august	70
to facial	70
with high	70
in individuals	70
super resolution	70
received july	70
optical flow	70
for any	70
de cits	70
singapore singapore	70
for publication	70
or other	69
we found	69
vision lab	69
been proposed	69
of features	69
fran ais	69
autism research	69
of software	69
nanyang technological	69
liu and	69
gaze direction	69
whom correspondence	69
adults with	69
eye contact	69
resonance imaging	69
of north	69
learning from	69
to publication	68
single image	68
invariant face	68
activity recognition	68
stefanos zafeiriou	68
intelligent information	68
specialty section	68
or the	68
based image	68
to their	68
in image	68
taipei taiwan	68
target tracking	68
engineering college	68
not been	68
for computer	67
tx usa	67
data set	67
electronic and	67
disorder asd	67
facial landmark	67
adobe research	67
to its	67
typically developing	67
of pennsylvania	67
zurich switzerland	67
dr ing	67
high resolution	67
has not	67
maryland college	66
publishing corporation	66
of training	66
accepted june	66
of doctor	66
of eye	66
information from	66
automatic face	66
ecole polytechnique	66
the video	66
binary pattern	66
model and	66
in their	66
received may	66
been shown	66
social interactions	66
in revised	66
revised form	66
montr eal	65
algorithm for	65
is often	65
hindawi publishing	65
ground truth	65
of cognitive	65
shot learning	65
for large	65
recent years	65
double blind	65
with respect	65
expression and	65
have shown	65
karlsruhe germany	65
on their	65
the research	65
columbia university	65
associate professor	65
facial images	64
both the	64
dif cult	64
human action	64
technology cas	64
video surveillance	64
received december	64
the world	64
national taiwan	64
recognition under	64
intelligence and	64
video based	64
multi target	64
and applied	64
detection with	63
autism and	63
this document	63
believe that	63
human detection	63
and more	63
university shanghai	63
personal use	63
wa usa	63
cation using	63
and intelligent	63
ne grained	63
on pattern	63
applied sciences	63
while the	63
idiap research	63
extracted from	63
cation with	63
the dataset	63
received march	63
received june	62
multi object	62
de montr	62
of experimental	62
of multiple	62
sciences university	62
nearest neighbor	62
engineering national	62
taiwan university	62
the goal	62
we used	62
representations for	62
based approach	62
data driven	62
the computer	62
to reduce	62
vector machine	62
feature based	62
june accepted	61
at www	61
computer graphics	61
of tokyo	61
international joint	61
objects and	61
images for	61
large number	61
shiguang shan	61
shaogang gong	61
received october	61
an object	61
this thesis	61
are more	61
communication and	61
with deep	61
recognition has	61
the appearance	61
accepted march	61
of two	61
and emotion	61
human robot	61
as follows	61
california institute	61
of computational	61
that they	60
peer reviewed	60
words and	60
the shape	60
in each	60
th international	60
is still	60
using deep	60
and electrical	60
emotional facial	60
of its	60
showed that	60
ann arbor	60
these methods	60
are used	60
stony brook	60
supplementary material	60
illumination and	60
received january	60
such that	60
linear discriminant	60
subspace clustering	59
to determine	59
il usa	59
published october	59
entific research	59
manant des	59
des tablissements	59
tablissements enseignement	59
ou trangers	59
trangers des	59
material for	59
joint conference	59
wide range	59
nanjing china	59
normal university	59
for learning	59
for real	59
visual information	59
that our	59

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