1 code implementation • 11 Apr 2023 • Xingwu Ji, Peilin Liu, Haochen Niu, Xiang Chen, Rendong Ying, Fei Wen
Then, we propose a graph matching approach to select correspondence objects based on the structure layout and semantic property similarity of vertices' neighbors.
1 code implementation • 5 Jun 2021 • Zeyu Yan, Fei Wen, Rendong Ying, Chao Ma, Peilin Liu
This paper provides nontrivial results theoretically revealing that, \textit{1}) the cost of achieving perfect perception quality is exactly a doubling of the lowest achievable MSE distortion, \textit{2}) an optimal encoder for the "classic" rate-distortion problem is also optimal for the perceptual compression problem, \textit{3}) distortion loss is unnecessary for training a perceptual decoder.
1 code implementation • 2 Mar 2019 • Fei Wen, Rendong Ying, Peilin Liu, Trieu-Kien Truong
Besides the convergence to a stationary point for a generalized nonconvex penalty, we provide more deep analysis on a popular and important class of nonconvex penalties which have discontinuous thresholding functions.
no code implementations • 15 Dec 2018 • Guanghua Pan, Jun Wang, Rendong Ying, Peilin Liu
Deep learning on point clouds has made a lot of progress recently.
1 code implementation • 9 Aug 2018 • Fei Wen, Danping Zou, Rendong Ying, Peilin Liu
This work addresses the outlier removal problem in large-scale global structure-from-motion.