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04/08/2022
Invariant Descriptors for Intrinsic Reflectance Optimization
Intrinsic image decomposition aims to factorize an image into albedo (re...
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11/23/2020
Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation
Instance segmentation methods require large datasets with expensive inst...
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09/03/2020
Physics-based Shading Reconstruction for Intrinsic Image Decomposition
We investigate the use of photometric invariance and deep learning to co...
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12/09/2019
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
In general, intrinsic image decomposition algorithms interpret shading a...
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12/07/2018
Color Constancy by GANs: An Experimental Survey
In this paper, we formulate the color constancy task as an image-to-imag...
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12/05/2018
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild
Dense optical flow ground truth of non-rigid motion for real-world image...
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07/31/2018
Joint Learning of Intrinsic Images and Semantic Segmentation
Semantic segmentation of outdoor scenes is problematic when there are va...
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07/19/2018
Three for one and one for three: Flow, Segmentation, and Surface Normals
Optical flow, semantic segmentation, and surface normals represent diffe...
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12/04/2017