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Enrique A. Santiago - IEEE Xplore Author Profile
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Enrique A. Santiago

Publications
2
Citations
13
Publications by Year
20132018
Co-Authors:
Image of author Enrique A. Santiago

Enrique A. Santiago

Affiliation

Lockheed Martin, Orlando, FL

Publication Topics

Biography

Enrique A. Santiago (M'04) received his B.Sc. degree (2004) in electrical engineering from the Polytechnic University of Puerto Rico. He received the M.S. (2006) degree in electrical engineering from The Pennsylvania State University University, University Park.,He then joined Raytheon, Co. where he currently works as a systems engineer. Since August of 2009 he has been a student at The University of Texas at Dallas working towards a Ph.D. in electrical engineering under Dr. Mohammad Saquib. His research interests are focused on low-complexity adaptive algorithms for radar signal processing.(Based on document published on 7 October 2013).
Publications
2
Citations
13
Publications by Year
20132018
Co-Authors:
Author's Published Works

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Multiple Pose Virtual Try-On Based on 3D Clothing Reconstruction

Thai Thanh Tuan;Matiur Rahman Minar;Heejune Ahn;John Wainwright

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (7)
Recently, image-based virtual try-on (VTON) systems using deep generative models have drawn significant research attention. However, the 2D clothing shape transform methods in the earlier works show serious limitations in 3D clothing deformation required in multiple-pose VTON scenarios. In this paper, we develop a 3D-MPVTON system of two pipelines and show that a 3D clothing model reconstruction a...Show More

Multiple Pose Virtual Try-On Based on 3D Clothing Reconstruction

Thai Thanh Tuan;Matiur Rahman Minar;Heejune Ahn;John Wainwright

Year: 2021 | Volume: 9 | Journal Article |

CloTH-VTON+: Clothing Three-Dimensional Reconstruction for Hybrid Image-Based Virtual Try-ON

Matiur Rahman Minar;Thai Thanh Tuan;Heejune Ahn

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (16)
Image-based virtual try-on (VTON) systems based on deep learning have attracted research and commercial interests. Although they show their strengths in blending the person and try-on clothing image and synthesizing the dis-occluded regions, their results for complex-posed persons are often unsatisfactory due to the limitations in their geometry deformation and texture-preserving capacity. To addr...Show More

CloTH-VTON+: Clothing Three-Dimensional Reconstruction for Hybrid Image-Based Virtual Try-ON

Matiur Rahman Minar;Thai Thanh Tuan;Heejune Ahn

Year: 2021 | Volume: 9 | Journal Article |

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