9 citations · 9 across the 2 of their papers we have counts for
3 papers
eess.IV2022
Unsupervised Learning Based Focal Stack Camera Depth Estimation
Zhengyu Huang, Weizhi Du, Theodore B. Norris
We propose an unsupervised deep learning based method to estimate depth from focal stack camera images. On the NYU-v2 dataset, our method achieves much better depth estimation accu…
cs.CV2021★ 9 cited
ES-Net: An Efficient Stereo Matching Network
Zhengyu Huang, Theodore B. Norris, Panqu Wang
Dense stereo matching with deep neural networks is of great interest to the research community. Existing stereo matching networks typically use slow and computationally expensive 3…
eess.IV2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Il Yong Chun, Zhengyu Huang, Hongki Lim +1
Iterative neural networks (INN) are rapidly gaining attention for solving inverse problems in imaging, image processing, and computer vision. INNs combine regression NNs and an ite…