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of 227
pro vyhledávání: '"Wong, KokSheik"'
For document image binarization task, generative adversarial networks (GANs) can generate images where shadows and noise are effectively removed, which allow for text information extraction. The current state-of-the-art (SOTA) method proposes a three
Externí odkaz:
http://arxiv.org/abs/2407.04231
High Dynamic Range (HDR) content (i.e., images and videos) has a broad range of applications. However, capturing HDR content from real-world scenes is expensive and time-consuming. Therefore, the challenging task of reconstructing visually accurate H
Externí odkaz:
http://arxiv.org/abs/2403.17837
High Dynamic Range (HDR) imaging aims to replicate the high visual quality and clarity of real-world scenes. Due to the high costs associated with HDR imaging, the literature offers various data-driven methods for HDR image reconstruction from Low Dy
Externí odkaz:
http://arxiv.org/abs/2402.06692
High Dynamic Range (HDR) content creation has become an important topic for modern media and entertainment sectors, gaming and Augmented/Virtual Reality industries. Many methods have been proposed to recreate the HDR counterparts of input Low Dynamic
Externí odkaz:
http://arxiv.org/abs/2309.03827
High-dynamic range (HDR) images are circulated rapidly over the internet with risks of being exploited for unauthorized usage. To protect these images, some HDR image based watermarking (HDR-IW) methods were put forward. However, they inherited the s
Externí odkaz:
http://arxiv.org/abs/2302.11361
Hashing technology gains much attention in protecting the biometric template lately. For instance, Index-of-Max (IoM), a recent reported hashing technique, is a ranking-based locality sensitive hashing technique, which illustrates the feasibility to
Externí odkaz:
http://arxiv.org/abs/2203.01095
Autor:
Dong, Xingbo, Park, Jaewoo, Jin, Zhe, Teoh, Andrew Beng Jin, Tistarelli, Massimo, Wong, KokSheik
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences June 2024 36(5)
In this work, we show the generative capability of an image classifier network by synthesizing high-resolution, photo-realistic, and diverse images at scale. The overall methodology, called Synthesize-It-Classifier (STIC), does not require an explici
Externí odkaz:
http://arxiv.org/abs/2103.14212
Autor:
Dong, Xingbo, Park, Jaewoo, Jin, Zhe, Teoh, Andrew Beng Jin, Tistarelli, Massimo, Wong, KokSheik
Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two templates for security and privacy protection. However, distance preserv
Externí odkaz:
http://arxiv.org/abs/1910.07770
Publikováno v:
In Journal of Information Security and Applications September 2023 77