3 papers
eess.SP2021
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems
Nan Meng, Yun-Bin Zhao
Sparse signals can be possibly reconstructed by an algorithm which merges a traditional nonlinear optimization method and a certain thresholding technique. Different from existing…
cs.CV2020
Light Field View Synthesis via Aperture Disparity and Warping Confidence Map
Nan Meng, Kai Li, Jianzhuang Liu +1
This paper presents a learning-based approach to synthesize the view from an arbitrary camera position given a sparse set of images. A key challenge for this novel view synthesis a…
eess.IV2019
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Nan Meng, Hayden K. -H. So, Xing Sun +1
We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution. Many current approaches eith…