14 citations · 39 across the 6 of their papers we have counts for
6 papers
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…
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition
Zhijie Shen, Wu Guo, Bin Gu
In this paper, we propose a language-universal adapter learning framework based on a pre-trained model for end-to-end multilingual automatic speech recognition (ASR). For acoustic…
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…