14 citations · 39 across the 6 of their papers we have counts for
5 papers · 1 filter
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
Zhijie Shen, Zishuo Zheng, Chunyu Lin +4
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences. However, the compressio…
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…
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…