1 code implementation • 4 May 2024 • Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx
Traditional unsupervised optical flow methods are vulnerable to occlusions and motion boundaries due to lack of object-level information.
no code implementations • CVPR 2023 • Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx
To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs.
no code implementations • CVPR 2019 • Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan
We present a method to separate a single image captured under two illuminants, with different spectra, into the two images corresponding to the appearance of the scene under each individual illuminant.
no code implementations • ICCV 2017 • Zhuo Hui, Kalyan Sunkavalli, Joon-Young Lee, Sunil Hadap, Jian Wang, Aswin C. Sankaranarayanan
A collocated setup provides only a 1-D "univariate" sampling of the 4-D BRDF.
no code implementations • CVPR 2018 • Zhuo Hui, Kalyan Sunkavalli, Sunil Hadap, Aswin C. Sankaranarayanan
Real-world lighting often consists of multiple illuminants with different spectra.
no code implementations • 25 Mar 2016 • Zhuo Hui, Wen-Sheng Chu
We compared linear (PCA and KPCA), manifold (LPP and LLE), supervised (LDA and KDA) and hybrid approaches (LSDA) to DR with respect to AU detection.
1 code implementation • 16 Dec 2015 • Zhuo Hui, Aswin C. Sankaranarayanan
At the core of our techniques is the assumption that the BRDF at each pixel lies in the non-negative span of a known BRDF dictionary. This assumption enables a per-pixel surface normal and BRDF estimation framework that is computationally tractable and requires no initialization in spite of the underlying problem being non-convex.
no code implementations • 14 Mar 2015 • Zhuo Hui, Aswin C. Sankaranarayanan
We present a technique for estimating the shape and reflectance of an object in terms of its surface normals and spatially-varying BRDF.
no code implementations • CVPR 2014 • Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu
We propose a very intuitive and simple approximation for the conventional spectral clustering methods.