28 citations · 40 across the 12 of their papers we have counts for
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cs.CV2018
Towards Spectral Estimation from a Single RGB Image in the Wild
Berk Kaya, Yigit Baran Can, Radu Timofte
In contrast to the current literature, we address the problem of estimating the spectrum from a single common trichromatic RGB image obtained under unconstrained settings (e.g. unk…
cs.CV2018★ 9 cited
Learning to Segment Medical Images with Scribble-Supervision Alone
Yigit B. Can, Krishna Chaitanya, Basil Mustafa +3
Semantic segmentation of medical images is a crucial step for the quantification of healthy anatomy and diseases alike. The majority of the current state-of-the-art segmentation al…
cs.CV2018★ 28 cited
An efficient CNN for spectral reconstruction from RGB images
Yigit Baran Can, Radu Timofte
Recently, the example-based single image spectral reconstruction from RGB images task, aka, spectral super-resolution was approached by means of deep learning by Galliani et al. Th…