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Biometrics

AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION


This paper proposes a group membership verification protocol preventing the curious but honest server from reconstructing the enrolled signatures and inferring the identity of querying clients. The protocol quantizes the signatures into discrete embeddings, making reconstruction difficult. It also aggregates multiple embeddings into representative values, impeding identification. Theoretical and experimental results show the trade-off between the security and error rates.

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Authors:
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg, Behrooz Razeghi, Slava Voloshynovskiy
Submitted On:
13 May 2019 - 9:23am
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conference_poster_4.pdf

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[1] Marzieh Gheisari, Teddy Furon, Laurent Amsaleg, Behrooz Razeghi, Slava Voloshynovskiy, "AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4484. Accessed: Oct. 24, 2020.
@article{4484-19,
url = {http://sigport.org/4484},
author = {Marzieh Gheisari; Teddy Furon; Laurent Amsaleg; Behrooz Razeghi; Slava Voloshynovskiy },
publisher = {IEEE SigPort},
title = {AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION},
year = {2019} }
TY - EJOUR
T1 - AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION
AU - Marzieh Gheisari; Teddy Furon; Laurent Amsaleg; Behrooz Razeghi; Slava Voloshynovskiy
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4484
ER -
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg, Behrooz Razeghi, Slava Voloshynovskiy. (2019). AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION. IEEE SigPort. http://sigport.org/4484
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg, Behrooz Razeghi, Slava Voloshynovskiy, 2019. AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION. Available at: http://sigport.org/4484.
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg, Behrooz Razeghi, Slava Voloshynovskiy. (2019). "AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION." Web.
1. Marzieh Gheisari, Teddy Furon, Laurent Amsaleg, Behrooz Razeghi, Slava Voloshynovskiy. AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4484

CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION


Deep neural networks (DNNs) have recently achieved impressive performances on various applications. However, recent researches show that DNNs are vulnerable to adversarial perturbations injected into input samples. In this paper, we investigate a defense method for face verification: a deep residual generative network (ResGN) is learned to clean adversarial perturbations. We propose a novel training framework composed of ResGN, pre-trained VGG-Face network and FaceNet network.

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Authors:
Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu
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8 May 2019 - 4:59am
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[1] Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu, "CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4052. Accessed: Oct. 24, 2020.
@article{4052-19,
url = {http://sigport.org/4052},
author = {Yuying Su; Guangling Sun; Weiqi Fan; Xiaofeng Lu; Zhi Liu },
publisher = {IEEE SigPort},
title = {CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION},
year = {2019} }
TY - EJOUR
T1 - CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION
AU - Yuying Su; Guangling Sun; Weiqi Fan; Xiaofeng Lu; Zhi Liu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4052
ER -
Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu. (2019). CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION. IEEE SigPort. http://sigport.org/4052
Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu, 2019. CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION. Available at: http://sigport.org/4052.
Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu. (2019). "CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION." Web.
1. Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu. CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4052

DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK


Nowadays, speech spoofing is so common that it presents a great challenge to social security. Thus, it is of great significance to recognize a spoofed speech from a genuine one. Most of the current researches have focused on voice conversion (VC), synthesis and recapture which mimic a target speaker to break through ASV systems by increased false acceptance rates. However, there exists another type of spoofing, voice transformation (VT), that transforms a speech signal without a target in order ‘not to be recognized’ by increased false reject rates. VT has received much less attention.

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Authors:
Yong Wang, Zhuoyi Su
Submitted On:
8 May 2019 - 3:15am
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Paper #1311.pdf

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[1] Yong Wang, Zhuoyi Su, "DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4031. Accessed: Oct. 24, 2020.
@article{4031-19,
url = {http://sigport.org/4031},
author = {Yong Wang; Zhuoyi Su },
publisher = {IEEE SigPort},
title = {DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK},
year = {2019} }
TY - EJOUR
T1 - DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK
AU - Yong Wang; Zhuoyi Su
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4031
ER -
Yong Wang, Zhuoyi Su. (2019). DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK. IEEE SigPort. http://sigport.org/4031
Yong Wang, Zhuoyi Su, 2019. DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK. Available at: http://sigport.org/4031.
Yong Wang, Zhuoyi Su. (2019). "DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK." Web.
1. Yong Wang, Zhuoyi Su. DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4031

ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION


This paper introduces a deep neural network based feature extraction scheme that aims to improve the trade-off between utility and privacy in speaker classification tasks. In the proposed scenario we develop a feature representation that helps to maximize the performance of a gender classifier while minimizing additional speaker

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Authors:
Rainer Martin
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8 May 2019 - 2:50am
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[1] Rainer Martin, "ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4027. Accessed: Oct. 24, 2020.
@article{4027-19,
url = {http://sigport.org/4027},
author = {Rainer Martin },
publisher = {IEEE SigPort},
title = {ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION},
year = {2019} }
TY - EJOUR
T1 - ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION
AU - Rainer Martin
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4027
ER -
Rainer Martin. (2019). ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION. IEEE SigPort. http://sigport.org/4027
Rainer Martin, 2019. ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION. Available at: http://sigport.org/4027.
Rainer Martin. (2019). "ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION." Web.
1. Rainer Martin. ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4027

ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION

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8 May 2019 - 2:50am
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ICASSP2019_poster_Nelus.pdf

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[1] , "ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4025. Accessed: Oct. 24, 2020.
@article{4025-19,
url = {http://sigport.org/4025},
author = { },
publisher = {IEEE SigPort},
title = {ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION},
year = {2019} }
TY - EJOUR
T1 - ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4025
ER -
. (2019). ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION. IEEE SigPort. http://sigport.org/4025
, 2019. ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION. Available at: http://sigport.org/4025.
. (2019). "ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION." Web.
1. . ICASSP 2019 Poster for Paper #3198: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4025

Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing


In recent years, morphing of facial images has arisen as an important attack vector on biometric systems. Detection of morphed images has proven challenging for automated systems and human experts alike. Likewise, in recent years, the importance of efficient (fast) biometric identification has been emphasised by the rapid rise and growth of large-scale biometric systems around the world.

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Authors:
P. Drozdowski, C. Rathgeb, C. Busch
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8 May 2019 - 2:08am
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Poster for paper 4438: "Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing"

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[1] P. Drozdowski, C. Rathgeb, C. Busch, "Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4016. Accessed: Oct. 24, 2020.
@article{4016-19,
url = {http://sigport.org/4016},
author = {P. Drozdowski; C. Rathgeb; C. Busch },
publisher = {IEEE SigPort},
title = {Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing},
year = {2019} }
TY - EJOUR
T1 - Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing
AU - P. Drozdowski; C. Rathgeb; C. Busch
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4016
ER -
P. Drozdowski, C. Rathgeb, C. Busch. (2019). Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing. IEEE SigPort. http://sigport.org/4016
P. Drozdowski, C. Rathgeb, C. Busch, 2019. Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing. Available at: http://sigport.org/4016.
P. Drozdowski, C. Rathgeb, C. Busch. (2019). "Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing." Web.
1. P. Drozdowski, C. Rathgeb, C. Busch. Poster: Turning a vulnerability into an asset: Accelerating Facial Identification with Morphing [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4016

Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation

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Authors:
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez
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8 October 2018 - 3:08am
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Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation

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[1] Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez, "Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3615. Accessed: Oct. 24, 2020.
@article{3615-18,
url = {http://sigport.org/3615},
author = {Ester Gonzalez-Sosa; Julian Fierrez; Ruben Vera-Rodriguez and Fernando Alonso-Fernandez },
publisher = {IEEE SigPort},
title = {Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation},
year = {2018} }
TY - EJOUR
T1 - Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation
AU - Ester Gonzalez-Sosa; Julian Fierrez; Ruben Vera-Rodriguez and Fernando Alonso-Fernandez
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3615
ER -
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez. (2018). Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation. IEEE SigPort. http://sigport.org/3615
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez, 2018. Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation. Available at: http://sigport.org/3615.
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez. (2018). "Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation." Web.
1. Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez. Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3615

KNOT MAGNIFY LOSS FOR FACE RECOGNITION

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Authors:
Qiang Rao, Bing Yu, Yun Yang, Bailan Feng
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7 October 2018 - 9:36pm
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Knot Loss For Face Recognition poster.pdf

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[1] Qiang Rao, Bing Yu, Yun Yang, Bailan Feng, "KNOT MAGNIFY LOSS FOR FACE RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3604. Accessed: Oct. 24, 2020.
@article{3604-18,
url = {http://sigport.org/3604},
author = {Qiang Rao; Bing Yu; Yun Yang; Bailan Feng },
publisher = {IEEE SigPort},
title = {KNOT MAGNIFY LOSS FOR FACE RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - KNOT MAGNIFY LOSS FOR FACE RECOGNITION
AU - Qiang Rao; Bing Yu; Yun Yang; Bailan Feng
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3604
ER -
Qiang Rao, Bing Yu, Yun Yang, Bailan Feng. (2018). KNOT MAGNIFY LOSS FOR FACE RECOGNITION. IEEE SigPort. http://sigport.org/3604
Qiang Rao, Bing Yu, Yun Yang, Bailan Feng, 2018. KNOT MAGNIFY LOSS FOR FACE RECOGNITION. Available at: http://sigport.org/3604.
Qiang Rao, Bing Yu, Yun Yang, Bailan Feng. (2018). "KNOT MAGNIFY LOSS FOR FACE RECOGNITION." Web.
1. Qiang Rao, Bing Yu, Yun Yang, Bailan Feng. KNOT MAGNIFY LOSS FOR FACE RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3604

FUSION NETWORK FOR FACE-BASED AGE ESTIMATION


Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. Although faces are composed of numerous facial attributes, most works with CNNs still consider a face as a typical object and do not pay enough attention to facial regions that carry age-specific feature for this particular task. In this paper, we propose a novel CNN architecture called Fusion Network (FusionNet) to tackle the age estimation problem.

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Authors:
Haoyi Wang, Xingjie Wei, Victor Sanchez, and Chang-Tsun Li
Submitted On:
4 October 2018 - 1:40pm
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FUSION NETWORK FOR FACE-BASED AGE ESTIMATION

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[1] Haoyi Wang, Xingjie Wei, Victor Sanchez, and Chang-Tsun Li, "FUSION NETWORK FOR FACE-BASED AGE ESTIMATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3458. Accessed: Oct. 24, 2020.
@article{3458-18,
url = {http://sigport.org/3458},
author = {Haoyi Wang; Xingjie Wei; Victor Sanchez; and Chang-Tsun Li },
publisher = {IEEE SigPort},
title = {FUSION NETWORK FOR FACE-BASED AGE ESTIMATION},
year = {2018} }
TY - EJOUR
T1 - FUSION NETWORK FOR FACE-BASED AGE ESTIMATION
AU - Haoyi Wang; Xingjie Wei; Victor Sanchez; and Chang-Tsun Li
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3458
ER -
Haoyi Wang, Xingjie Wei, Victor Sanchez, and Chang-Tsun Li. (2018). FUSION NETWORK FOR FACE-BASED AGE ESTIMATION. IEEE SigPort. http://sigport.org/3458
Haoyi Wang, Xingjie Wei, Victor Sanchez, and Chang-Tsun Li, 2018. FUSION NETWORK FOR FACE-BASED AGE ESTIMATION. Available at: http://sigport.org/3458.
Haoyi Wang, Xingjie Wei, Victor Sanchez, and Chang-Tsun Li. (2018). "FUSION NETWORK FOR FACE-BASED AGE ESTIMATION." Web.
1. Haoyi Wang, Xingjie Wei, Victor Sanchez, and Chang-Tsun Li. FUSION NETWORK FOR FACE-BASED AGE ESTIMATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3458

Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations


This paper addresses the problem of automated recognition of faces and facial attributes by proposing a new general approach called Accumulative Local Sparse Representation (ALSR). In the learning stage, we build a general dictionary of patches that are extracted from face images in a dense manner on a grid. In the testing stage, patches of the query image are sparsely represented using a \em local dictionary. This dictionary contains similar atoms of the general dictionary that are spatially in the same neighborhood.

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Authors:
Domingo Mery, Sandipan Benarjee
Submitted On:
17 April 2018 - 1:50pm
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PowerPoint Presentation for ALSR by Mery and Banerjee

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[1] Domingo Mery, Sandipan Benarjee, "Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2940. Accessed: Oct. 24, 2020.
@article{2940-18,
url = {http://sigport.org/2940},
author = {Domingo Mery; Sandipan Benarjee },
publisher = {IEEE SigPort},
title = {Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations},
year = {2018} }
TY - EJOUR
T1 - Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations
AU - Domingo Mery; Sandipan Benarjee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2940
ER -
Domingo Mery, Sandipan Benarjee. (2018). Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations. IEEE SigPort. http://sigport.org/2940
Domingo Mery, Sandipan Benarjee, 2018. Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations. Available at: http://sigport.org/2940.
Domingo Mery, Sandipan Benarjee. (2018). "Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations." Web.
1. Domingo Mery, Sandipan Benarjee. Recognition of Faces and Facial Attributes using Accumulative Local Sparse Representations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2940

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