4 citations · 8 across the 3 of their papers we have counts for
4 papers
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Recent cost volume pyramid based deep neural networks have unlocked the potential of efficiently leveraging high-resolution images for depth inference from multi-view stereo. In ge…
Self-supervised Learning of Depth Inference for Multi-view Stereo
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Recent supervised multi-view depth estimation networks have achieved promising results. Similar to all supervised approaches, these networks require ground-truth data during traini…
Super-Resolving Compressed Video in Coding Chain
Dewang Hou, Yang Zhao, Yuyao Ye +3
Scaling and lossy coding are widely used in video transmission and storage. Previous methods for enhancing the resolution of such videos often ignore the inherent interference betw…
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
Jiayu Yang, Wei Mao, Jose M. Alvarez +1
We propose a cost volume-based neural network for depth inference from multi-view images. We demonstrate that building a cost volume pyramid in a coarse-to-fine manner instead of c…