activity
20192022
most citedUnsupervised Deep Image Stitching: Reconstructing Stitched Features to Images

287 citations · 332 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV202213 cited

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'…

cs.CV20215 cited

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…

cs.CV2021287 cited

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…

cs.CV20213 cited

Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow

Shangrong Yang, Chunyu Lin, Kang Liao +2

Distortion rectification is often required for fisheye images. The generation-based method is one mainstream solution due to its label-free property, but its naive skip-connection…

cs.CV202023 cited

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…

cs.CV20201 cited

Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision

Haojie Liu, Kang Liao, Chunyu Lin +2

Pseudo-LiDAR point cloud interpolation is a novel and challenging task in the field of autonomous driving, which aims to address the frequency mismatching problem between camera an…