287 citations · 328 across the 4 of their papers we have counts for
4 papers
Distortion-Tolerant Monocular Depth Estimation On Omnidirectional Images Using Dual-cubemap
Zhijie Shen, Chunyu Lin, Lang Nie +2
Estimating the depth of omnidirectional images is more challenging than that of normal field-of-view (NFoV) images because the varying distortion can significantly twist an object'…
Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
Lang Nie, Chunyu Lin, Kang Liao +2
Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration. Traditional homography estimation…
Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
Lang Nie, Chunyu Lin, Kang Liao +2
Traditional feature-based image stitching technologies rely heavily on feature detection quality, often failing to stitch images with few features or low resolution. The learning-b…
Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
Lang Nie, Chunyu Lin, Kang Liao +1
Image stitching is a classical and crucial technique in computer vision, which aims to generate the image with a wide field of view. The traditional methods heavily depend on the f…