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20172023
most citedHDR image reconstruction from a single exposure using deep CNNs

617 citations · 964 across the 17 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

stat.AP2017★ 49 cited

A practical guide and software for analysing pairwise comparison experiments

Maria Perez-Ortiz, Rafal K. Mantiuk

Most popular strategies to capture subjective judgments from humans involve the construction of a unidimensional relative measurement scale, representing order preferences or judgm…

cs.GR2017★ 44 cited

High Dynamic Range Imaging Technology

Alessandro Artusi, Thomas Richter, Touradj Ebrahimi +1

In this lecture note, we describe high dynamic range (HDR) imaging systems; such systems are able to represent luminances of much larger brightness and, typically, also a larger ra…

cs.CV2017★ 617 cited

HDR image reconstruction from a single exposure using deep CNNs

Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2

Camera sensors can only capture a limited range of luminance simultaneously, and in order to create high dynamic range (HDR) images a set of different exposures are typically combi…

cs.CV2017★ 133 cited

Towards a quality metric for dense light fields

Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin +4

Light fields become a popular representation of three dimensional scenes, and there is interest in their processing, resampling, and compression. As those operations often result i…

cs.LG2017★ 2 cited

Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks

Nanyang Ye, Zhanxing Zhu, Rafal K. Mantiuk

Minimizing non-convex and high-dimensional objective functions is challenging, especially when training modern deep neural networks. In this paper, a novel approach is proposed whi…