67 citations · 297 across the 34 of their papers we have counts for
Showing eess.IVShow all
3 papers · 1 filter
eess.IV2020★ 5 cited
Learning to Model and Calibrate Optics via a Differentiable Wave Optics Simulator
Josue Page, Paolo Favaro
We present a novel learning-based method to build a differentiable computational model of a real fluorescence microscope. Our model can be used to calibrate a real optical setup di…
eess.IV2020★ 8 cited
Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images
Josue Page, Federico Saltarin, Yury Belyaev +2
We present a novel deep learning approach to reconstruct confocal microscopy stacks from single light field images. To perform the reconstruction, we introduce the LFMNet, a novel…
eess.IV2018★ 6 cited
Learning to Take Directions One Step at a Time
Qiyang Hu, Adrian Wälchli, Tiziano Portenier +2
We present a method to generate a video sequence given a single image. Because items in an image can be animated in arbitrarily many different ways, we introduce as control signal…