287 citations · 340 across the 7 of their papers we have counts for
7 papers
Unsupervised Homography Estimation with Coplanarity-Aware GAN
Mingbo Hong, Yuhang Lu, Nianjin Ye +3
Estimating homography from an image pair is a fundamental problem in image alignment. Unsupervised learning methods have received increasing attention in this field due to their pr…
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…
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Lingzhi He, Hongguang Zhu, Feng Li +6
Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks. Thus, depth map super-resolution (SR)…
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…