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Hoang-An Le

2 accepted papers

2018

CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition

CVPR 2018poster

Most of the traditional work on intrinsic image decomposition rely on deriving priors about scene characteristics. On the other hand, recent research use deep learning models as in-and-out black box and do not consider the well-established, traditional image formation process as the basis of their i…

Cited by 93SourcePDFScholar
2018

Joint Learning of Intrinsic Images and Semantic Segmentation

ECCV 2018poster

Semantic segmentation of outdoor scenes is problematic when there are variations in imaging conditions. It is known that albedo (reflectance) is invariant to all kinds of illumination effects. Thus, using reflectance images for semantic segmentation task can be favorable. Additionally, not only segm…