1 code implementation • 11 Oct 2022 • Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li
We present two versatile methods to generally enhance self-supervised monocular depth estimation (MDE) models.
1 code implementation • 2 Oct 2022 • Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li
In this paper, we redesign the patch-based triplet loss in MDE to alleviate the ubiquitous edge-fattening issue.
Ranked #1 on
Unsupervised Monocular Depth Estimation
on Kitti Raw
no code implementations • 26 Oct 2021 • Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li
In this study, we propose a framework that combines pathological images and medical reports to generate a personalized diagnosis result for individual patient.
no code implementations • 22 Oct 2020 • Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani
A modified three-dimensional Markov chain model adopting the quitting probability and cluster division is developed for the performance analysis.
Information Theory Information Theory
1 code implementation • ICCV 2019 • Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li
Image inpainting techniques have shown significant improvements by using deep neural networks recently.