damilojohn/Text-Descrambling · Datasets at Hugging Face

text stringlengths 27 153	label stringlengths 27 153	id int64 0 40k
in active is among area researchers. computer an of Face recognition the interest images vision	Face recognition in images is an active area of interest among the computer vision researchers.	39,900
is human recognizing relatively However, environment, research. a area unconstrained an less-explored of in face	However, recognizing human face in an unconstrained environment, is a relatively less-explored area of research.	39,901
makes task occlusion faces more of challenging. recognition the Partial even	Partial occlusion of faces makes the recognition task even more challenging.	39,902
Recent extended task to multiple graphs; work i.e. this has	Recent work has extended this task to multiple graphs; i.e.	39,903
find to multiple the among is groups goal highly dense vertices graphs. of	the goal is to find groups of vertices highly dense among multiple graphs.	39,904
difference/contrast specifically between patterns the highlight Thus, the graphs. considered these	Thus, these patterns specifically highlight the difference/contrast between the considered graphs.	39,905
a contrasting of showcase potential the datasets. patterns and synthetic on variety We real-world of	We showcase the potential of contrasting patterns on a variety of synthetic and real-world datasets.	39,906
of We the objects detection weakly method propose for in supervised paintings. a	We propose a method for the weakly supervised detection of objects in paintings.	39,907
training annotations time, image-level needed. are only At	At training time, only image-level annotations are needed.	39,908
show the losses. only several yields We dropping annotations on performance that mild databases instance-level	We show on several databases that dropping the instance-level annotations only yields mild performance losses.	39,909
prediction fundamental Depth the in computer problems one vision. is of	Depth prediction is one of the fundamental problems in computer vision.	39,910
to depth For of the a.k.a sparse completion. dense, tasks	For the tasks of sparse to dense, a.k.a depth completion.	39,911
information hand this a capture work, the state-of-the-art In by hand estimator. we using pose	In this work, we capture the hand information by using a state-of-the-art hand pose estimator.	39,912
quality. infrastructure maintains built-in testing code A	A built-in testing infrastructure maintains code quality.	39,913
modeling paper, In the correlations of features. this convolutional we on between channels focus	In this paper, we focus on modeling the correlations between channels of convolutional features.	39,914
recalibrate to is adaptively used SEBlock mappings. channel-wise feature	SEBlock is used to adaptively recalibrate channel-wise feature mappings.	39,915
Further, information between SEBlock short remedy each connections loss. used are to	Further, short connections between each SEBlock are used to remedy information loss.	39,916
traffic general phenomenon. with this proposed approaches have managers three dealing to engineers and Urban	Urban traffic engineers and managers have proposed three general approaches to dealing with this phenomenon.	39,917
the capacity approach network (UTN). of urban the expands first The traffic	The first approach expands the capacity of the urban traffic network (UTN).	39,918
approach The traffic called can the be assignment. second	The second approach can be called the traffic assignment.	39,919
capacity the the involves of UTN. approach Finally, optimizing the third	Finally, the third approach involves optimizing the capacity of the UTN.	39,920
information, four traffic optimization, These prediction. assignment, traffic sections include and traffic traffic	These four sections include traffic information, traffic assignment, traffic optimization, and traffic prediction.	39,921
theoretical the the that results illustrate Finally, two of simulation effectiveness results are presented.	Finally, two simulation results that illustrate the effectiveness of the theoretical results are presented.	39,922
systems, we detection. object such To enable faster innovative need	To enable such innovative systems, we need faster object detection.	39,923
and In accuracy approximations, speed with we trade-off investigate the i.e. this work, between domain-specific	In this work, we investigate the trade-off between accuracy and speed with domain-specific approximations, i.e.	39,924
image state-of-the-art object learning-based detection scaling size and category-aware deep proposals for meta-architectures. scaling, two	category-aware image size scaling and proposals scaling, for two state-of-the-art deep learning-based object detection meta-architectures.	39,925
problem. enhancement computer resolution classical is image vision Low a	Low resolution image enhancement is a classical computer vision problem.	39,926
employ such and streams multiple approaches textual from data as Multi-modal domains. visual input	Multi-modal approaches employ data from multiple input streams such as textual and visual domains.	39,927
neural been for approaches. Deep these have networks employed successfully	Deep neural networks have been successfully employed for these approaches.	39,928
text image. embeds proposed image obtain an approach encoded an to an onto information-enriched The	The proposed approach embeds an encoded text onto an image to obtain an information-enriched image.	39,929
(AC) consensus algorithms. rules compared four have average of We	We have compared four rules of average consensus (AC) algorithms.	39,930
is first rule weights. without AC the simple The	The first rule is the simple AC without weights.	39,931
are centralised All each hard methods with other compared combining CSS. the and	All methods are compared each other and with the hard combining centralised CSS.	39,932
the computational of WAC complexity IWAC, and very be similar. proven are to Hence, WAC-AE,	Hence, the computational complexity of IWAC, WAC-AE, and WAC are proven to be very similar.	39,933
and method We fusion for multi-modality baseline segmentation. image compared to techniques our	We compared our method to baseline techniques for multi-modality image fusion and segmentation.	39,934
on dataset show results state-of- Experiments other KITTI algorithms. our significantly that the outperform the-art	Experiments on the KITTI dataset show that our results significantly outperform other state-of- the-art algorithms.	39,935
Source codes . at be https: found can //github.com/baidu-research/UnDepthflow	Source codes can be found at https: //github.com/baidu-research/UnDepthflow .	39,936
use local for tracking. optimization Current approaches	Current approaches use local optimization for tracking.	39,937
mult-armed as a multi-player up problem set We develop bandit the two distributed and algorithms.	We set up the problem as a multi-player mult-armed bandit and develop two distributed algorithms.	39,938
suitable ideally battery for SU make them collisions operated Fewer terminals.	Fewer collisions make them ideally suitable for battery operated SU terminals.	39,939
powerful neural widely Convolutional and used networks (CNN's) are tools.	Convolutional neural networks (CNN's) are powerful and widely used tools.	39,940
their interpretability from is far ideal. However,	However, their interpretability is far from ideal.	39,941
structures the training. the of demonstrate change the over of We course also simple	We also demonstrate the change of the simple structures over the course of training.	39,942
context importance. in great a is of such selection Variable	Variable selection in such a context is of great importance.	39,943
oracle well-known TAlasso the achieves of Accommodating property. the regressors, system heterogeneous	Accommodating the system of heterogeneous regressors, TAlasso achieves the well-known oracle property.	39,944
fall however, models short breakthroughs, in still reaching accuracy. enormous human-level Despite and effort huge	Despite enormous effort and huge breakthroughs, however, models still fall short in reaching human-level accuracy.	39,945
is loss quite wireless (WSNs) sensor in networks prevalent. Data	Data loss in wireless sensor networks (WSNs) is quite prevalent.	39,946
existing performance methods on of the dependent factors. is various However,	However, the performance of existing methods is dependent on various factors.	39,947
massive Further, for missing be data of correlation. amount should temporal the not exploiting	Further, the amount of missing data should not be massive for exploiting temporal correlation.	39,948
the To drawbacks, method proposed a in this has overcome novel been PCI-MDR above-mentioned paper.	To overcome the above-mentioned drawbacks, a novel method PCI-MDR has been proposed in this paper.	39,949
on evaluate our We semantic experimentally approach segmentation.	We experimentally evaluate our approach on semantic segmentation.	39,950
adaptation Our no unsupervised adaptation method and over techniques. state-of-the-art improves domain	Our method improves over no adaptation and state-of-the-art unsupervised domain adaptation techniques.	39,951
gene effects well is on However, understood. direct its less regulation	However, its direct effects on gene regulation is less well understood.	39,952
be image reconstructed field-of-view. From without these a higher-resolution images, sacrificing can computationally	From these images, a higher-resolution image can be computationally reconstructed without sacrificing field-of-view.	39,953
biological the way Our in work for imaging high-throughput studies. paves	Our work paves the way for high-throughput imaging in biological studies.	39,954
introduces prior total based for a multi-channel paper variation MRI on The super-resolution.	The paper introduces a prior based on multi-channel total variation for MRI super-resolution.	39,955
is by resolution the input estimating hyper-parameters Bias-variance from low handled scans. trade-off	Bias-variance trade-off is handled by estimating hyper-parameters from the low resolution input scans.	39,956
model of large brain validated was The on a database images.	The model was validated on a large database of brain images.	39,957
providing fundamental encoder limits for content the identification. codewords	encoder codewords providing the fundamental limits for content identification.	39,958
proposed an for Also, presented implementation procedure efficient is the algorithm.	Also, an efficient implementation procedure is presented for the proposed algorithm.	39,959
area algorithm and enhances proposed The eliminates background clutter. effectively the target	The proposed algorithm effectively enhances the target area and eliminates background clutter.	39,960
the effectiveness Simulation infrared on algorithm. significant images prove the of real proposed results	Simulation results on real infrared images prove the significant effectiveness of the proposed algorithm.	39,961
in all OpenCV algorithms coded in available and are All Python. were	All algorithms are available in OpenCV and were all coded in Python.	39,962
become of inefficient. classical increasing antennas, the number (BS) With station the base detectors	With the increasing number of base station (BS) antennas, the classical detectors become inefficient.	39,963
performance-complexity the employed for tradeoff improvement. Therefore, LAS is	Therefore, the LAS is employed for performance-complexity tradeoff improvement.	39,964
input from Then, compressed the image. this CNN regresses vector microscopy	Then, CNN regresses this compressed vector from the input microscopy image.	39,965
our achieved benchmark have algorithm excellent and validated datasets on performances. We	We have validated our algorithm on benchmark datasets and achieved excellent performances.	39,966
placement network localization on the of accuracy of depends Additionally, the the strongly anchors. the	Additionally, the localization accuracy of the network strongly depends on the placement of the anchors.	39,967
part a This master's of thesis is done work project. as	This work is done as part of a master's thesis project.	39,968
it out efficient powerful that It enough. is and generic, turned	It turned out that it is generic, efficient and powerful enough.	39,969
Existing the targeting learn human human-region-based either problem representations. perform or alignment, works	Existing works targeting the problem either perform human alignment, or learn human-region-based representations.	39,970
required generally inference. and pose information cost computational for Extra is	Extra pose information and computational cost is generally required for inference.	39,971
an consider efficient important task of effective and segmentation. image semantic We	We consider an important task of effective and efficient semantic image segmentation.	39,972
Here, research. the the periocular we state review in art of biometrics	Here, we review the state of the art in periocular biometrics research.	39,973
of fonts trained models typesets a unseen previously variety to from sources. and recognize	models trained to recognize a variety of fonts and typesets from previously unseen sources.	39,974
reach introduced. optimization framework a To this is Bayesian goal,	To reach this goal, a Bayesian optimization framework is introduced.	39,975
reduces computational Bayesian is fully sample that present more We efficient a approach and budget.	We present a fully Bayesian approach that is more sample efficient and reduces computational budget.	39,976
analysis theoretical and framework supported empirical an study. is Our by	Our framework is supported by theoretical analysis and an empirical study.	39,977
research. discuss we for Finally, further directions	Finally, we discuss directions for further research.	39,978
generated We estimation. quantitatively gaze by for models images evaluate the training	We quantitatively evaluate the generated images by training models for gaze estimation.	39,979
proposes dehazing. This end-to-end for image generative an paper method	This paper proposes an end-to-end generative method for image dehazing.	39,980
This pipeline of work reconstruction possible the BVS. for the a provides	This work provides a possible pipeline for the reconstruction of the BVS.	39,981
image reconstructions Using analysis, multimodality within a timeframe. we reliable obtain reasonable	Using multimodality image analysis, we obtain reliable reconstructions within a reasonable timeframe.	39,982
problem. a an and is it NPC that proved is game video as puzzle Minesweeper	Minesweeper as a puzzle video game and is proved that it is an NPC problem.	39,983
regularization work, novel this scheme this we present In for effect. a that reduces VQA	In this work, we present a novel regularization scheme for VQA that reduces this effect.	39,984
Our training is and agnostic implement. model procedure a simple approach to	Our approach is a model agnostic training procedure and simple to implement.	39,985
images. a In work, for we new framework text-based stylization of binary this present the	In this work, we present a new framework for the stylization of text-based binary images.	39,986
explored. is of composition and shape background a Second, image the stylized geometric the	Second, the composition of the stylized geometric shape and a background image is explored.	39,987
the method our be can of binary According to images, many applied contents to fields.	According to the contents of binary images, our method can be applied to many fields.	39,988
to devices. localization assistive approach visual a feasible of improving is positioning precision the The	The visual localization is a feasible approach to improving the positioning precision of assistive devices.	39,989
is passed an canvas upscaling network Finally, the to images. generate through	Finally, the canvas is passed through an upscaling network to generate images.	39,990
model's our with Reed generated We compare generated images et. those	We compare our model's generated images with those generated Reed et.	39,991
assignment investigate multiple-input massive multi-cell systems. We pilot the multiple-output of in effects	We investigate the effects of pilot assignment in multi-cell massive multiple-input multiple-output systems.	39,992
studies This work image of representations. problem the dimensional low appropriate learning	This work studies the problem of learning appropriate low dimensional image representations.	39,993
trace Our solutions employing by criterion. quotient images representations disentangle of sparse developed the	Our developed solutions disentangle sparse representations of images by employing the trace quotient criterion.	39,994
initialization. strong observe we a Additionally, robustness towards rough	Additionally, we observe a strong robustness towards rough initialization.	39,995
for pose a clutter. estimation autonomous manipulation Object to in robots perform crucial is prerequisite	Object pose estimation is a crucial prerequisite for robots to perform autonomous manipulation in clutter.	39,996
objects added warehouses bin-picking present such as new challenges, e.g., additional settings are constantly. Real-world	Real-world bin-picking settings such as warehouses present additional challenges, e.g., new objects are added constantly.	39,997
validation The proposed real-world on is method synthetic evaluated cluttered a and scenes. dataset	The proposed method is evaluated on a synthetic validation dataset and cluttered real-world scenes.	39,998
a between modes. statistics survival qualitatively crossover with and is associated decline breakdown different This	This breakdown is associated with a crossover between qualitatively different survival statistics and decline modes.	39,999

in active is among area researchers. computer an of Face recognition the interest images vision

Face recognition in images is an active area of interest among the computer vision researchers.

39,900

is human recognizing relatively However, environment, research. a area unconstrained an less-explored of in face

However, recognizing human face in an unconstrained environment, is a relatively less-explored area of research.

39,901

makes task occlusion faces more of challenging. recognition the Partial even

Partial occlusion of faces makes the recognition task even more challenging.

39,902

Recent extended task to multiple graphs; work i.e. this has

Recent work has extended this task to multiple graphs; i.e.

39,903

find to multiple the among is groups goal highly dense vertices graphs. of

the goal is to find groups of vertices highly dense among multiple graphs.

39,904

difference/contrast specifically between patterns the highlight Thus, the graphs. considered these

Thus, these patterns specifically highlight the difference/contrast between the considered graphs.

39,905

a contrasting of showcase potential the datasets. patterns and synthetic on variety We real-world of

We showcase the potential of contrasting patterns on a variety of synthetic and real-world datasets.

39,906

of We the objects detection weakly method propose for in supervised paintings. a

We propose a method for the weakly supervised detection of objects in paintings.

39,907

training annotations time, image-level needed. are only At

At training time, only image-level annotations are needed.

39,908

show the losses. only several yields We dropping annotations on performance that mild databases instance-level

We show on several databases that dropping the instance-level annotations only yields mild performance losses.

39,909

prediction fundamental Depth the in computer problems one vision. is of

Depth prediction is one of the fundamental problems in computer vision.

39,910

to depth For of the a.k.a sparse completion. dense, tasks

For the tasks of sparse to dense, a.k.a depth completion.

39,911

information hand this a capture work, the state-of-the-art In by hand estimator. we using pose

In this work, we capture the hand information by using a state-of-the-art hand pose estimator.

39,912

quality. infrastructure maintains built-in testing code A

A built-in testing infrastructure maintains code quality.

39,913

modeling paper, In the correlations of features. this convolutional we on between channels focus

In this paper, we focus on modeling the correlations between channels of convolutional features.

39,914

recalibrate to is adaptively used SEBlock mappings. channel-wise feature

SEBlock is used to adaptively recalibrate channel-wise feature mappings.

39,915

Further, information between SEBlock short remedy each connections loss. used are to

Further, short connections between each SEBlock are used to remedy information loss.

39,916

traffic general phenomenon. with this proposed approaches have managers three dealing to engineers and Urban

Urban traffic engineers and managers have proposed three general approaches to dealing with this phenomenon.

39,917

the capacity approach network (UTN). of urban the expands first The traffic

The first approach expands the capacity of the urban traffic network (UTN).

39,918

approach The traffic called can the be assignment. second

The second approach can be called the traffic assignment.

39,919

capacity the the involves of UTN. approach Finally, optimizing the third

Finally, the third approach involves optimizing the capacity of the UTN.

39,920

information, four traffic optimization, These prediction. assignment, traffic sections include and traffic traffic

These four sections include traffic information, traffic assignment, traffic optimization, and traffic prediction.

39,921

theoretical the the that results illustrate Finally, two of simulation effectiveness results are presented.

Finally, two simulation results that illustrate the effectiveness of the theoretical results are presented.

39,922

systems, we detection. object such To enable faster innovative need

To enable such innovative systems, we need faster object detection.

39,923

and In accuracy approximations, speed with we trade-off investigate the i.e. this work, between domain-specific

In this work, we investigate the trade-off between accuracy and speed with domain-specific approximations, i.e.

39,924

image state-of-the-art object learning-based detection scaling size and category-aware deep proposals for meta-architectures. scaling, two

category-aware image size scaling and proposals scaling, for two state-of-the-art deep learning-based object detection meta-architectures.

39,925

problem. enhancement computer resolution classical is image vision Low a

Low resolution image enhancement is a classical computer vision problem.

39,926

employ such and streams multiple approaches textual from data as Multi-modal domains. visual input

Multi-modal approaches employ data from multiple input streams such as textual and visual domains.

39,927

neural been for approaches. Deep these have networks employed successfully

Deep neural networks have been successfully employed for these approaches.

39,928

text image. embeds proposed image obtain an approach encoded an to an onto information-enriched The

The proposed approach embeds an encoded text onto an image to obtain an information-enriched image.

39,929

(AC) consensus algorithms. rules compared four have average of We

We have compared four rules of average consensus (AC) algorithms.

39,930

is first rule weights. without AC the simple The

The first rule is the simple AC without weights.

39,931

are centralised All each hard methods with other compared combining CSS. the and

All methods are compared each other and with the hard combining centralised CSS.

39,932

the computational of WAC complexity IWAC, and very be similar. proven are to Hence, WAC-AE,

Hence, the computational complexity of IWAC, WAC-AE, and WAC are proven to be very similar.

39,933

and method We fusion for multi-modality baseline segmentation. image compared to techniques our

We compared our method to baseline techniques for multi-modality image fusion and segmentation.

39,934

on dataset show results state-of- Experiments other KITTI algorithms. our significantly that the outperform the-art

Experiments on the KITTI dataset show that our results significantly outperform other state-of- the-art algorithms.

39,935

Source codes . at be https: found can //github.com/baidu-research/UnDepthflow

Source codes can be found at https: //github.com/baidu-research/UnDepthflow .

39,936

use local for tracking. optimization Current approaches

Current approaches use local optimization for tracking.

39,937

mult-armed as a multi-player up problem set We develop bandit the two distributed and algorithms.

We set up the problem as a multi-player mult-armed bandit and develop two distributed algorithms.

39,938

suitable ideally battery for SU make them collisions operated Fewer terminals.

Fewer collisions make them ideally suitable for battery operated SU terminals.

39,939

powerful neural widely Convolutional and used networks (CNN's) are tools.

Convolutional neural networks (CNN's) are powerful and widely used tools.

39,940

their interpretability from is far ideal. However,

However, their interpretability is far from ideal.

39,941

structures the training. the of demonstrate change the over of We course also simple

We also demonstrate the change of the simple structures over the course of training.

39,942

context importance. in great a is of such selection Variable

Variable selection in such a context is of great importance.

39,943

oracle well-known TAlasso the achieves of Accommodating property. the regressors, system heterogeneous

Accommodating the system of heterogeneous regressors, TAlasso achieves the well-known oracle property.

39,944

fall however, models short breakthroughs, in still reaching accuracy. enormous human-level Despite and effort huge

Despite enormous effort and huge breakthroughs, however, models still fall short in reaching human-level accuracy.

39,945

is loss quite wireless (WSNs) sensor in networks prevalent. Data

Data loss in wireless sensor networks (WSNs) is quite prevalent.

39,946

existing performance methods on of the dependent factors. is various However,

However, the performance of existing methods is dependent on various factors.

39,947

massive Further, for missing be data of correlation. amount should temporal the not exploiting

Further, the amount of missing data should not be massive for exploiting temporal correlation.

39,948

the To drawbacks, method proposed a in this has overcome novel been PCI-MDR above-mentioned paper.

To overcome the above-mentioned drawbacks, a novel method PCI-MDR has been proposed in this paper.

39,949

on evaluate our We semantic experimentally approach segmentation.

We experimentally evaluate our approach on semantic segmentation.

39,950

adaptation Our no unsupervised adaptation method and over techniques. state-of-the-art improves domain

Our method improves over no adaptation and state-of-the-art unsupervised domain adaptation techniques.

39,951

gene effects well is on However, understood. direct its less regulation

However, its direct effects on gene regulation is less well understood.

39,952

be image reconstructed field-of-view. From without these a higher-resolution images, sacrificing can computationally

From these images, a higher-resolution image can be computationally reconstructed without sacrificing field-of-view.

39,953

biological the way Our in work for imaging high-throughput studies. paves

Our work paves the way for high-throughput imaging in biological studies.

39,954

introduces prior total based for a multi-channel paper variation MRI on The super-resolution.

The paper introduces a prior based on multi-channel total variation for MRI super-resolution.

39,955

is by resolution the input estimating hyper-parameters Bias-variance from low handled scans. trade-off

Bias-variance trade-off is handled by estimating hyper-parameters from the low resolution input scans.

39,956

model of large brain validated was The on a database images.

The model was validated on a large database of brain images.

39,957

providing fundamental encoder limits for content the identification. codewords

encoder codewords providing the fundamental limits for content identification.

39,958

proposed an for Also, presented implementation procedure efficient is the algorithm.

Also, an efficient implementation procedure is presented for the proposed algorithm.

39,959

area algorithm and enhances proposed The eliminates background clutter. effectively the target

The proposed algorithm effectively enhances the target area and eliminates background clutter.

39,960

the effectiveness Simulation infrared on algorithm. significant images prove the of real proposed results

Simulation results on real infrared images prove the significant effectiveness of the proposed algorithm.

39,961

in all OpenCV algorithms coded in available and are All Python. were

All algorithms are available in OpenCV and were all coded in Python.

39,962

become of inefficient. classical increasing antennas, the number (BS) With station the base detectors

With the increasing number of base station (BS) antennas, the classical detectors become inefficient.

39,963

performance-complexity the employed for tradeoff improvement. Therefore, LAS is

Therefore, the LAS is employed for performance-complexity tradeoff improvement.

39,964

input from Then, compressed the image. this CNN regresses vector microscopy

Then, CNN regresses this compressed vector from the input microscopy image.

39,965

our achieved benchmark have algorithm excellent and validated datasets on performances. We

We have validated our algorithm on benchmark datasets and achieved excellent performances.

39,966

placement network localization on the of accuracy of depends Additionally, the the strongly anchors. the

Additionally, the localization accuracy of the network strongly depends on the placement of the anchors.

39,967

part a This master's of thesis is done work project. as

This work is done as part of a master's thesis project.

39,968

it out efficient powerful that It enough. is and generic, turned

It turned out that it is generic, efficient and powerful enough.

39,969

Existing the targeting learn human human-region-based either problem representations. perform or alignment, works

Existing works targeting the problem either perform human alignment, or learn human-region-based representations.

39,970

required generally inference. and pose information cost computational for Extra is

Extra pose information and computational cost is generally required for inference.

39,971

an consider efficient important task of effective and segmentation. image semantic We

We consider an important task of effective and efficient semantic image segmentation.

39,972

Here, research. the the periocular we state review in art of biometrics

Here, we review the state of the art in periocular biometrics research.

39,973

of fonts trained models typesets a unseen previously variety to from sources. and recognize

models trained to recognize a variety of fonts and typesets from previously unseen sources.

39,974

reach introduced. optimization framework a To this is Bayesian goal,

To reach this goal, a Bayesian optimization framework is introduced.

39,975

reduces computational Bayesian is fully sample that present more We efficient a approach and budget.

We present a fully Bayesian approach that is more sample efficient and reduces computational budget.

39,976

analysis theoretical and framework supported empirical an study. is Our by

Our framework is supported by theoretical analysis and an empirical study.

39,977

research. discuss we for Finally, further directions

Finally, we discuss directions for further research.

39,978

generated We estimation. quantitatively gaze by for models images evaluate the training

We quantitatively evaluate the generated images by training models for gaze estimation.

39,979

proposes dehazing. This end-to-end for image generative an paper method

This paper proposes an end-to-end generative method for image dehazing.

39,980

This pipeline of work reconstruction possible the BVS. for the a provides

This work provides a possible pipeline for the reconstruction of the BVS.

39,981

image reconstructions Using analysis, multimodality within a timeframe. we reliable obtain reasonable

Using multimodality image analysis, we obtain reliable reconstructions within a reasonable timeframe.

39,982

problem. a an and is it NPC that proved is game video as puzzle Minesweeper

Minesweeper as a puzzle video game and is proved that it is an NPC problem.

39,983

regularization work, novel this scheme this we present In for effect. a that reduces VQA

In this work, we present a novel regularization scheme for VQA that reduces this effect.

39,984

Our training is and agnostic implement. model procedure a simple approach to

Our approach is a model agnostic training procedure and simple to implement.

39,985

images. a In work, for we new framework text-based stylization of binary this present the

In this work, we present a new framework for the stylization of text-based binary images.

39,986

explored. is of composition and shape background a Second, image the stylized geometric the

Second, the composition of the stylized geometric shape and a background image is explored.

39,987

the method our be can of binary According to images, many applied contents to fields.

According to the contents of binary images, our method can be applied to many fields.

39,988

to devices. localization assistive approach visual a feasible of improving is positioning precision the The

The visual localization is a feasible approach to improving the positioning precision of assistive devices.

39,989

is passed an canvas upscaling network Finally, the to images. generate through

Finally, the canvas is passed through an upscaling network to generate images.

39,990

model's our with Reed generated We compare generated images et. those

We compare our model's generated images with those generated Reed et.

39,991

assignment investigate multiple-input massive multi-cell systems. We pilot the multiple-output of in effects

We investigate the effects of pilot assignment in multi-cell massive multiple-input multiple-output systems.

39,992

studies This work image of representations. problem the dimensional low appropriate learning

This work studies the problem of learning appropriate low dimensional image representations.

39,993

trace Our solutions employing by criterion. quotient images representations disentangle of sparse developed the

Our developed solutions disentangle sparse representations of images by employing the trace quotient criterion.

39,994

initialization. strong observe we a Additionally, robustness towards rough

Additionally, we observe a strong robustness towards rough initialization.

39,995

for pose a clutter. estimation autonomous manipulation Object to in robots perform crucial is prerequisite

Object pose estimation is a crucial prerequisite for robots to perform autonomous manipulation in clutter.

39,996

objects added warehouses bin-picking present such as new challenges, e.g., additional settings are constantly. Real-world

Real-world bin-picking settings such as warehouses present additional challenges, e.g., new objects are added constantly.

39,997

validation The proposed real-world on is method synthetic evaluated cluttered a and scenes. dataset

The proposed method is evaluated on a synthetic validation dataset and cluttered real-world scenes.

39,998

a between modes. statistics survival qualitatively crossover with and is associated decline breakdown different This

This breakdown is associated with a crossover between qualitatively different survival statistics and decline modes.

39,999