79 citations · 180 across the 34 of their papers we have counts for
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3 papers · 1 filter
cs.CV2020★ 79 cited
Physics-based Shadow Image Decomposition for Shadow Removal
Hieu Le, Dimitris Samaras
We propose a novel deep learning method for shadow removal. Inspired by physical models of shadow formation, we use a linear illumination transformation to model the shadow effects…
cs.CV2020★ 4 cited
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Jingyi Xu, Hieu Le, Mingzhen Huang +2
Fine-grained few-shot recognition often suffers from the problem of training data scarcity for novel categories.The network tends to overfit and does not generalize well to unseen…
cs.CV2020★ 3 cited
From Shadow Segmentation to Shadow Removal
Hieu Le, Dimitris Samaras
The requirement for paired shadow and shadow-free images limits the size and diversity of shadow removal datasets and hinders the possibility of training large-scale, robust shadow…