2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Automatic Illumination Spectrum Recovery
Nariman Habili, Jeremy Oorloff, Lars Petersson
We develop a deep learning network to estimate the illumination spectrum of hyperspectral images under various lighting conditions. To this end, a dataset, IllumNet, was created. I…
cs.CV2022★ 2 cited
A Hyperspectral and RGB Dataset for Building Facade Segmentation
Nariman Habili, Ernest Kwan, Weihao Li +4
Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications. This work introduces an HSI dataset of building facades in…
cs.CV2022
Learning Dense Correspondence from Synthetic Environments
Mithun Lal, Anthony Paproki, Nariman Habili +3
Estimation of human shape and pose from a single image is a challenging task. It is an even more difficult problem to map the identified human shape onto a 3D human model. Existing…