287 citations · 512 across the 32 of their papers we have counts for
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Neural Contourlet Network for Monocular 360 Depth Estimation
Zhijie Shen, Chunyu Lin, Lang Nie +2
For a monocular 360 image, depth estimation is a challenging because the distortion increases along the latitude. To perceive the distortion, existing methods devote to designing a…
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation
Zishuo Zheng, Chunyu Lin, Lang Nie +3
Recently, horizontal representation-based panoramic semantic segmentation approaches outperform projection-based solutions, because the distortions can be effectively removed by co…
Deep Rotation Correction without Angle Prior
Lang Nie, Chunyu Lin, Kang Liao +2
Not everybody can be equipped with professional photography skills and sufficient shooting time, and there can be some tilts in the captured images occasionally. In this paper, we…
Deep Rectangling for Image Stitching: A Learning Baseline
Lang Nie, Chunyu Lin, Kang Liao +2
Stitched images provide a wide field-of-view (FoV) but suffer from unpleasant irregular boundaries. To deal with this problem, existing image rectangling methods devote to searchin…
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'…
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
Zhijie Shen, Chunyu Lin, Kang Liao +3
Existing panoramic depth estimation methods based on convolutional neural networks (CNNs) focus on removing panoramic distortions, failing to perceive panoramic structures efficien…