1 code implementation • 31 Mar 2024 • Jiading Li, Zhiyu Zhu, Jinhui Hou, Junhui Hou, Jinjian Wu
Technically, we propose a two-stage learning-based gaze estimation framework to divide the whole gaze estimation process into a coarse-to-fine process of anchor state selection and final gaze location.
1 code implementation • NeurIPS 2023 • Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Hui Yuan
To harness the capabilities of diffusion models, we delve into this intricate process and advocate for the regularization of its inherent ODE-trajectory.
Ranked #2 on Low-Light Image Enhancement on LOL
1 code implementation • 15 Jan 2023 • Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Deyu Meng
In this paper, we study the problem of efficiently and effectively embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images, guided by feature diversity.
no code implementations • 9 Jul 2022 • Jinhui Hou, Zhiyu Zhu, Hui Liu, Junhui Hou
This paper tackles the challenging problem of hyperspectral (HS) image denoising.
1 code implementation • 30 May 2022 • Jinhui Hou, Zhiyu Zhu, Junhui Hou, Huanqiang Zeng, Jinjian Wu, Jiantao Zhou
Then, we incorporate the proposed feature embedding scheme into a source-consistent super-resolution framework that is physically-interpretable, producing lightweight PDE-Net, in which high-resolution (HR) HS images are iteratively refined from the residuals between input low-resolution (LR) HS images and pseudo-LR-HS images degenerated from reconstructed HR-HS images via probability-inspired HS embedding.