16 citations · 30 across the 6 of their papers we have counts for
9 papers
Specularity Factorization for Low-Light Enhancement
Saurabh Saini, P J Narayanan
We present a new additive image factorization technique that treats images to be composed of multiple latent specular components which can be simply estimated recursively by modula…
Invariant Descriptors for Intrinsic Reflectance Optimization
Anil S. Baslamisli, Theo Gevers
Intrinsic image decomposition aims to factorize an image into albedo (reflectance) and shading (illumination) sub-components. Being ill-posed and under-constrained, it is a very ch…
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation
David Biertimpel, Sindi Shkodrani, Anil S. Baslamisli +1
Instance segmentation methods require large datasets with expensive and thus limited instance-level mask labels. Partially supervised instance segmentation aims to improve mask pre…
Physics-based Shading Reconstruction for Intrinsic Image Decomposition
Anil S. Baslamisli, Yang Liu, Sezer Karaoglu +1
We investigate the use of photometric invariance and deep learning to compute intrinsic images (albedo and shading). We propose albedo and shading gradient descriptors which are de…
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
Anil S. Baslamisli, Partha Das, Hoang-An Le +2
In general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother tha…
Color Constancy by GANs: An Experimental Survey
Partha Das, Anil S. Baslamisli, Yang Liu +2
In this paper, we formulate the color constancy task as an image-to-image translation problem using GANs. By conducting a large set of experiments on different datasets, an experim…