38 citations · 44 across the 10 of their papers we have counts for
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cs.CV2023★ 2 cited
iDisc: Internal Discretization for Monocular Depth Estimation
Luigi Piccinelli, Christos Sakaridis, Fisher Yu
Monocular depth estimation is fundamental for 3D scene understanding and downstream applications. However, even under the supervised setup, it is still challenging and ill-posed du…
cs.CV2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati +1
Methods for unsupervised domain adaptation (UDA) help to improve the performance of deep neural networks on unseen domains without any labeled data. Especially in medical disciplin…