1 code implementation • 30 Dec 2023 • Yaping Zhao, Edmund Y. Lam
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-dimensional (HD) data depends on the advent of novel optical designs to sample the HD data as two-dimensional (2D) compressed measurements.
no code implementations • 13 Nov 2023 • Yi Li, Songqi Wang, Yaping Zhao, Shaocong Wang, Woyu Zhang, Yangu He, Ning Lin, Binbin Cui, Xi Chen, Shiming Zhang, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Here, we report a universal solution, software-hardware co-design using structural plasticity-inspired edge pruning to optimize the topology of a randomly weighted analogue resistive memory neural network.
1 code implementation • 25 Jun 2023 • Yaping Zhao, Haitian Zheng, Jiebo Luo, Edmund Y. Lam
With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored.
1 code implementation • 26 Aug 2022 • Yaping Zhao, Haitian Zheng, Mengqi Ji, Ruqi Huang
Our method takes cross-domain and cross-scale images as input, and consequently synthesizes HR colorization results to facilitate the trade-off between spatial-temporal resolution and color depth in the single-camera imaging system.
1 code implementation • 23 Aug 2022 • Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao
With the progress of the urbanisation process, the urban transportation system is extremely critical to the development of cities and the quality of life of the citizens.
1 code implementation • 21 Feb 2022 • Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam
To achieve point cloud denoising, traditional methods heavily rely on geometric priors, and most learning-based approaches suffer from outliers and loss of details.
1 code implementation • 20 Feb 2022 • Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam
In video denoising, the adjacent frames often provide very useful information, but accurate alignment is needed before such information can be harnassed.
1 code implementation • 9 Feb 2022 • Yaping Zhao
The author intends to provide you with a beautiful, elegant, user-friendly cookbook for mathematics in Snapshot Compressive Imaging (SCI).
1 code implementation • 18 Jan 2022 • Yaping Zhao, Siming Zheng, Xin Yuan
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-dimensional (HD) data has led to an inverse problem, which consists of recovering the HD signal from the compressed and noisy measurement.
1 code implementation • 15 Oct 2021 • Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang
In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i. e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolution (LR) video sequence.
Reference-based Video Super-Resolution Video Super-Resolution
no code implementations • 11 Oct 2021 • Qing Yang, Yaping Zhao
Aiming at high-dimensional (HD) data acquisition and analysis, snapshot compressive imaging (SCI) obtains the 2D compressed measurement of HD data with optical imaging systems and reconstructs HD data using compressive sensing algorithms.
1 code implementation • 29 Sep 2021 • Yaping Zhao, Guanghan Li, Edmund Y. Lam
With advances in optical sensor technology, heterogeneous camera systems are increasingly used for high-resolution (HR) video acquisition and analysis.
no code implementations • 27 May 2020 • Guanghan Li, Yaping Zhao, Mengqi Ji, Xiaoyun Yuan, Lu Fang
Presenting high-resolution (HR) human appearance is always critical for the human-centric videos.