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Image/Video Processing

Background Light Estimation For Depth-dependent Underwater Image Restoration


Light undergoes a wavelength-dependent attenuation and loses energy along its propagation path in water. In particular, the absorption of red wavelengths is greater than that of green and blue wavelengths in open ocean waters. This reduces the red intensity of the scene radiance reaching the camera and results in non-uniform light, known as background light, due to the scene depth. Restoration methods that compensate for this colour loss often assume constant background light and distort the colour of the water region(s).

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Authors:
Chau Yi Li, Andrea Cavallaro
Submitted On:
8 October 2018 - 5:49pm
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ICIP_BackgroundLight_Li_Cavallaro.pdf

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[1] Chau Yi Li, Andrea Cavallaro, "Background Light Estimation For Depth-dependent Underwater Image Restoration", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3644. Accessed: Apr. 26, 2019.
@article{3644-18,
url = {http://sigport.org/3644},
author = {Chau Yi Li; Andrea Cavallaro },
publisher = {IEEE SigPort},
title = {Background Light Estimation For Depth-dependent Underwater Image Restoration},
year = {2018} }
TY - EJOUR
T1 - Background Light Estimation For Depth-dependent Underwater Image Restoration
AU - Chau Yi Li; Andrea Cavallaro
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3644
ER -
Chau Yi Li, Andrea Cavallaro. (2018). Background Light Estimation For Depth-dependent Underwater Image Restoration. IEEE SigPort. http://sigport.org/3644
Chau Yi Li, Andrea Cavallaro, 2018. Background Light Estimation For Depth-dependent Underwater Image Restoration. Available at: http://sigport.org/3644.
Chau Yi Li, Andrea Cavallaro. (2018). "Background Light Estimation For Depth-dependent Underwater Image Restoration." Web.
1. Chau Yi Li, Andrea Cavallaro. Background Light Estimation For Depth-dependent Underwater Image Restoration [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3644

presentation for icip 2018

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8 October 2018 - 4:53pm
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Presentation for ICIP 2018.pdf

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[1] , "presentation for icip 2018", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3643. Accessed: Apr. 26, 2019.
@article{3643-18,
url = {http://sigport.org/3643},
author = { },
publisher = {IEEE SigPort},
title = {presentation for icip 2018},
year = {2018} }
TY - EJOUR
T1 - presentation for icip 2018
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3643
ER -
. (2018). presentation for icip 2018. IEEE SigPort. http://sigport.org/3643
, 2018. presentation for icip 2018. Available at: http://sigport.org/3643.
. (2018). "presentation for icip 2018." Web.
1. . presentation for icip 2018 [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3643

WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS

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Authors:
Neel Rakholia, Srinidhi Hegde, Ramya Hebbalaguppe
Submitted On:
8 October 2018 - 3:47pm
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Oral Presentation

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[1] Neel Rakholia, Srinidhi Hegde, Ramya Hebbalaguppe, "WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3641. Accessed: Apr. 26, 2019.
@article{3641-18,
url = {http://sigport.org/3641},
author = {Neel Rakholia; Srinidhi Hegde; Ramya Hebbalaguppe },
publisher = {IEEE SigPort},
title = {WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS},
year = {2018} }
TY - EJOUR
T1 - WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS
AU - Neel Rakholia; Srinidhi Hegde; Ramya Hebbalaguppe
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3641
ER -
Neel Rakholia, Srinidhi Hegde, Ramya Hebbalaguppe. (2018). WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS. IEEE SigPort. http://sigport.org/3641
Neel Rakholia, Srinidhi Hegde, Ramya Hebbalaguppe, 2018. WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS. Available at: http://sigport.org/3641.
Neel Rakholia, Srinidhi Hegde, Ramya Hebbalaguppe. (2018). "WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS." Web.
1. Neel Rakholia, Srinidhi Hegde, Ramya Hebbalaguppe. WHERE TO PLACE: A REAL-TIME VISUAL SALIENCY BASED LABEL PLACEMENT FOR AUGMENTED REALITY APPLICATIONS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3641

R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION


Point cloud are precise digital record of an objects in space. It starts to getting more attention due to the additional information it provides compared to 2D images. In this paper, we propose a new deep learning architecture called R-CovNets, designed for 3D object recognition. Unlike to previous approaches that usually sample or convert point cloud into three-dimensional grids, R-CovNets does not reckon on any preprocessing. Our architecture is specially designed for cloud point, permutation invariant and can take as input, a data of any size.

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Authors:
Danielle Tchuinkou Kwadj and Christophe Bobda
Submitted On:
8 October 2018 - 2:07pm
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R-COVNET.pdf

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[1] Danielle Tchuinkou Kwadj and Christophe Bobda, "R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3638. Accessed: Apr. 26, 2019.
@article{3638-18,
url = {http://sigport.org/3638},
author = {Danielle Tchuinkou Kwadj and Christophe Bobda },
publisher = {IEEE SigPort},
title = {R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION
AU - Danielle Tchuinkou Kwadj and Christophe Bobda
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3638
ER -
Danielle Tchuinkou Kwadj and Christophe Bobda. (2018). R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION. IEEE SigPort. http://sigport.org/3638
Danielle Tchuinkou Kwadj and Christophe Bobda, 2018. R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION. Available at: http://sigport.org/3638.
Danielle Tchuinkou Kwadj and Christophe Bobda. (2018). "R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION." Web.
1. Danielle Tchuinkou Kwadj and Christophe Bobda. R-COVNET: RECURRENT NEURAL CONVOLUTION NETWORK FOR 3D OBJECT RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3638

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: Apr. 26, 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: Apr. 26, 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

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

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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: Apr. 26, 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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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: Apr. 26, 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

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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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/3621. Accessed: Apr. 26, 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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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: Apr. 26, 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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