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Chandrasekhar Bhagavatula

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Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching

Dipan K. Pal,Chandrasekhar Bhagavatula, Yutong Zheng,Ran Tao,Marios Savvides

WACV, pp.2058-2067, (2019)

EIBibtex

Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses

Chandraskehar Bhagavatula,Chenchen Zhu,Khoa Luu,Marios Savvides

ICCV, (2017): 4000-4009

Cited by65EIBibtex

Pose estimation using Spectral and Singular Value recomposition

Chandrasekhar Bhagavatula, Raied Aljadaany,Marios Savvides

ICPR, pp.4095-4100, (2016)

Cited by4EIBibtex

Towards a Deep Learning Framework for Unconstrained Face Detection

Yutong Zheng,Chenchen Zhu,Khoa Luu,Chandrasekhar Bhagavatula,T. Hoang Ngan Le,Marios Savvides

BTAS, (2016)

Cited by17EIBibtex

Weakly Supervised Facial Analysis with Dense Hyper-Column Features

Chenchen Zhu, Yutong Zheng,Khoa Luu,T. Hoang Ngan Le,Chandrasekhar Bhagavatula,Marios Savvides

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.93-101, (2016)

Cited by12EIBibtex

Investigating the feasibility of image-based nose biometrics

Niv Zehngut, Felix Juefei-Xu, Rishabh Bardia,Dipan K. Pal,Chandrasekhar Bhagavatula,Marios Savvides

ICIP, pp.522-526, (2015)

Cited by30EIBibtex

Biometric Authentication on iPhone and Android: Usability, Perceptions, and Influences on Adoption

Chandrasekhar Bhagavatula,Blase Ur, Kevin Iacovino,Su Mon Kywe,Lorrie Faith Cranor,Marios Savvides

(2015)

Cited by115Bibtex

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