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ICIP 2018

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world. Visit website.

NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM

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Authors:
Thibaud Ehret, Jean-Michel Morel, Pablo Arias
Submitted On:
8 October 2018 - 8:28am
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icip-nlk.pdf

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[1] Thibaud Ehret, Jean-Michel Morel, Pablo Arias, "NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3630. Accessed: May. 25, 2019.
@article{3630-18,
url = {http://sigport.org/3630},
author = {Thibaud Ehret; Jean-Michel Morel; Pablo Arias },
publisher = {IEEE SigPort},
title = {NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM},
year = {2018} }
TY - EJOUR
T1 - NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM
AU - Thibaud Ehret; Jean-Michel Morel; Pablo Arias
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3630
ER -
Thibaud Ehret, Jean-Michel Morel, Pablo Arias. (2018). NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM. IEEE SigPort. http://sigport.org/3630
Thibaud Ehret, Jean-Michel Morel, Pablo Arias, 2018. NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM. Available at: http://sigport.org/3630.
Thibaud Ehret, Jean-Michel Morel, Pablo Arias. (2018). "NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM." Web.
1. Thibaud Ehret, Jean-Michel Morel, Pablo Arias. NON-LOCAL KALMAN: A RECURSIVE VIDEO DENOISING ALGORITHM [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3630

REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE

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Authors:
Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio
Submitted On:
8 October 2018 - 8:26am
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icip-det.pdf

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[1] Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio, "REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3629. Accessed: May. 25, 2019.
@article{3629-18,
url = {http://sigport.org/3629},
author = {Axel Davy; Thibaud Ehret; Jean-Michel Morel; Mauricio Delbracio },
publisher = {IEEE SigPort},
title = {REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE},
year = {2018} }
TY - EJOUR
T1 - REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE
AU - Axel Davy; Thibaud Ehret; Jean-Michel Morel; Mauricio Delbracio
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3629
ER -
Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio. (2018). REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE. IEEE SigPort. http://sigport.org/3629
Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio, 2018. REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE. Available at: http://sigport.org/3629.
Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio. (2018). "REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE." Web.
1. Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio. REDUCING ANOMALY DETECTION IN IMAGES TO DETECTION IN NOISE [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3629

Model Corrected Low Rank Ptychography


In this paper, we introduce a novel algorithmic framework for sub-diffractive super-resolution imaging of dynamic, time varying targets. We extend recent works in low rank Fourier ptychographic imaging, to incorporate model-correction schemes, which correct for errors propagated due to inaccuracies in fitting an exact low rank model to the target video acquired. Through our algorithm, we are able to demonstrate superior reconstruction quality of video from phaseless Fourier ptychographic measurements, at low sample complexities, as compared to conventional ptychographic setups.

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Authors:
Chinmay Hegde, Namrata Vaswani
Submitted On:
8 October 2018 - 2:21pm
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poster_icip.pdf

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[1] Chinmay Hegde, Namrata Vaswani, "Model Corrected Low Rank Ptychography", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3628. Accessed: May. 25, 2019.
@article{3628-18,
url = {http://sigport.org/3628},
author = {Chinmay Hegde; Namrata Vaswani },
publisher = {IEEE SigPort},
title = {Model Corrected Low Rank Ptychography},
year = {2018} }
TY - EJOUR
T1 - Model Corrected Low Rank Ptychography
AU - Chinmay Hegde; Namrata Vaswani
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3628
ER -
Chinmay Hegde, Namrata Vaswani. (2018). Model Corrected Low Rank Ptychography. IEEE SigPort. http://sigport.org/3628
Chinmay Hegde, Namrata Vaswani, 2018. Model Corrected Low Rank Ptychography. Available at: http://sigport.org/3628.
Chinmay Hegde, Namrata Vaswani. (2018). "Model Corrected Low Rank Ptychography." Web.
1. Chinmay Hegde, Namrata Vaswani. Model Corrected Low Rank Ptychography [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3628

Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences

Paper Details

Authors:
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni
Submitted On:
8 October 2018 - 7:48am
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ICIP2018_Presentation.pdf

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[1] Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3627. Accessed: May. 25, 2019.
@article{3627-18,
url = {http://sigport.org/3627},
author = {Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni },
publisher = {IEEE SigPort},
title = {Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences},
year = {2018} }
TY - EJOUR
T1 - Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences
AU - Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3627
ER -
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. IEEE SigPort. http://sigport.org/3627
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, 2018. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. Available at: http://sigport.org/3627.
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences." Web.
1. Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3627

Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences

Paper Details

Authors:
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni
Submitted On:
8 October 2018 - 7:48am
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Type:
Event:
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ICIP2018_Presentation.pdf

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[1] Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3626. Accessed: May. 25, 2019.
@article{3626-18,
url = {http://sigport.org/3626},
author = {Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni },
publisher = {IEEE SigPort},
title = {Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences},
year = {2018} }
TY - EJOUR
T1 - Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences
AU - Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3626
ER -
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. IEEE SigPort. http://sigport.org/3626
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, 2018. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. Available at: http://sigport.org/3626.
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences." Web.
1. Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3626

DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION

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Submitted On:
8 October 2018 - 5:46am
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Poster for paper 2904

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[1] , "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3624. Accessed: May. 25, 2019.
@article{3624-18,
url = {http://sigport.org/3624},
author = { },
publisher = {IEEE SigPort},
title = {DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION },
year = {2018} }
TY - EJOUR
T1 - DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3624
ER -
. (2018). DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . IEEE SigPort. http://sigport.org/3624
, 2018. DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . Available at: http://sigport.org/3624.
. (2018). "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ." Web.
1. . DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3624

DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION

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Authors:
Submitted On:
8 October 2018 - 5:46am
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Poster for paper 2904

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[1] , "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3623. Accessed: May. 25, 2019.
@article{3623-18,
url = {http://sigport.org/3623},
author = { },
publisher = {IEEE SigPort},
title = {DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION },
year = {2018} }
TY - EJOUR
T1 - DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3623
ER -
. (2018). DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . IEEE SigPort. http://sigport.org/3623
, 2018. DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . Available at: http://sigport.org/3623.
. (2018). "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ." Web.
1. . DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3623

Diversity in Fashion Recommendation Using Semantic Parsing


Developing recommendation system for fashion images is challenging due to the inherent ambiguity associated with what criterion a user is looking at. Suggesting multiple images where each output image is similar to the query image on the basis of a different feature or part is one way to mitigate the problem. Existing works for fashion recommendation have used Siamese or Triplet network to learn features between a similar pair and a similar dissimilar triplet respectively.

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Authors:
Sukhad Anand, Chetan Arora, Atul Rai
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8 October 2018 - 4:26am
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Fashion recommendation based on contextual similarity

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[1] Sukhad Anand, Chetan Arora, Atul Rai, "Diversity in Fashion Recommendation Using Semantic Parsing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3622. Accessed: May. 25, 2019.
@article{3622-18,
url = {http://sigport.org/3622},
author = {Sukhad Anand; Chetan Arora; Atul Rai },
publisher = {IEEE SigPort},
title = {Diversity in Fashion Recommendation Using Semantic Parsing},
year = {2018} }
TY - EJOUR
T1 - Diversity in Fashion Recommendation Using Semantic Parsing
AU - Sukhad Anand; Chetan Arora; Atul Rai
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3622
ER -
Sukhad Anand, Chetan Arora, Atul Rai. (2018). Diversity in Fashion Recommendation Using Semantic Parsing. IEEE SigPort. http://sigport.org/3622
Sukhad Anand, Chetan Arora, Atul Rai, 2018. Diversity in Fashion Recommendation Using Semantic Parsing. Available at: http://sigport.org/3622.
Sukhad Anand, Chetan Arora, Atul Rai. (2018). "Diversity in Fashion Recommendation Using Semantic Parsing." Web.
1. Sukhad Anand, Chetan Arora, Atul Rai. Diversity in Fashion Recommendation Using Semantic Parsing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3622

SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630

Paper Details

Authors:
Nicole Schmidt, Arne Schumann, Jürgen Beyerer
Submitted On:
8 October 2018 - 3:52am
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[1] Nicole Schmidt, Arne Schumann, Jürgen Beyerer, "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3621. Accessed: May. 25, 2019.
@article{3621-18,
url = {http://sigport.org/3621},
author = {Nicole Schmidt; Arne Schumann; Jürgen Beyerer },
publisher = {IEEE SigPort},
title = {SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630},
year = {2018} }
TY - EJOUR
T1 - SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630
AU - Nicole Schmidt; Arne Schumann; Jürgen Beyerer
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3621
ER -
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. IEEE SigPort. http://sigport.org/3621
Nicole Schmidt, Arne Schumann, Jürgen Beyerer, 2018. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. Available at: http://sigport.org/3621.
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630." Web.
1. Nicole Schmidt, Arne Schumann, Jürgen Beyerer. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630 [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3621

SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630

Paper Details

Authors:
Nicole Schmidt, Arne Schumann, Jürgen Beyerer
Submitted On:
8 October 2018 - 3:52am
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Type:
Event:
Paper Code:

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ICIP2018_paper_1630.pdf

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[1] Nicole Schmidt, Arne Schumann, Jürgen Beyerer, "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3620. Accessed: May. 25, 2019.
@article{3620-18,
url = {http://sigport.org/3620},
author = {Nicole Schmidt; Arne Schumann; Jürgen Beyerer },
publisher = {IEEE SigPort},
title = {SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630},
year = {2018} }
TY - EJOUR
T1 - SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630
AU - Nicole Schmidt; Arne Schumann; Jürgen Beyerer
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3620
ER -
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. IEEE SigPort. http://sigport.org/3620
Nicole Schmidt, Arne Schumann, Jürgen Beyerer, 2018. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. Available at: http://sigport.org/3620.
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630." Web.
1. Nicole Schmidt, Arne Schumann, Jürgen Beyerer. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630 [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3620

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