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20162025
most citedSemantic Instance Segmentation with a Discriminative Loss Function

444 citations · 1.6k across the 86 of their papers we have counts for

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Showing 2018Show all

28 papers · 1 filter

cs.CV2018

Fast Perceptual Image Enhancement

Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev +2

The vast majority of photos taken today are by mobile phones. While their quality is rapidly growing, due to physical limitations and cost constraints, mobile phone cameras struggl…

cs.CV2018

DLOW: Domain Flow for Adaptation and Generalization

Rui Gong, Wen Li, Yuhua Chen +1

In this work, we present a domain flow generation(DLOW) model to bridge two different domains by generating a continuous sequence of intermediate domains flowing from one domain to…

cs.CV2018

Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map

Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +2

Building on progress in feature representations for image retrieval, image-based localization has seen a surge of research interest. Image-based localization has the advantage of b…

cs.CV2018

SMIT: Stochastic Multi-Label Image-to-Image Translation

Andrés Romero, Pablo Arbeláez, Luc Van Gool +1

Cross-domain mapping has been a very active topic in recent years. Given one image, its main purpose is to translate it to the desired target domain, or multiple domains in the cas…

cs.HC2018

Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency

Xiaogang Cheng, Bin Yang, Anders Hedman +3

Human thermal comfort measurement plays a critical role in giving feedback signals for building energy efficiency. A non-invasive measuring method based on subtleness magnification…

eess.IV2018

Practical Full Resolution Learned Lossless Image Compression

Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2

We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG 2000. At the core of o…