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Kelvin Cheng

2 accepted papers

2022

Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching

NeurIPS 2022accept

Stereo matching is a classic challenging problem in computer vision, which has recently witnessed remarkable progress by Deep Neural Networks (DNNs). This paradigm shift leads to two interesting and entangled questions that have not been addressed well. First, it is unclear whether stereo matching D…

2019

A Neural Network for Detailed Human Depth Estimation From a Single Image

ICCV 2019oral

This paper presents a neural network to estimate a detailed depth map of the foreground human in a single RGB image. The result captures geometry details such as cloth wrinkles, which are important in visualization applications. To achieve this goal, we separate the depth map into a smooth base shap…

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