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Yuan Liang - IEEE Xplore Author Profile
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Yuan Liang

Publications
3
Citations
6
Publications by Year
20232025
Co-Authors:
Show All Co-Authors (10)
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Yuan Liang

Affiliation

School of Computer Science and Engineering
South China University of Technology
Guangzhou, China

Publication Topics

Biography

Yuan Liang is currently working toward the PhD degree with the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China. His research interests include visual understanding and machine vision.(Based on document published on 25 August 2023).
Publications
3
Citations
6
Publications by Year
20232025
Co-Authors:
Show All Co-Authors (10)
Author's Published Works

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Delving Into Multi-Illumination Monocular Depth Estimation: A New Dataset and Method

Yuan Liang;Zitian Zhang;Chuhua Xian;Shengfeng He

IEEE Transactions on Multimedia
Year: 2025 | Volume: 27 | Journal Article |
Monocular depth prediction has received significant attention in recent years. However, the impact of illumination variations, which can shift scenes to unseen domains, has often been overlooked. To address this, we introduce the first indoor scene dataset featuring RGB-D images captured under multiple illumination conditions, allowing for a comprehensive exploration of indoor depth prediction. Ad...Show More

Delving Into Multi-Illumination Monocular Depth Estimation: A New Dataset and Method

Yuan Liang;Zitian Zhang;Chuhua Xian;Shengfeng He

Year: 2025 | Volume: 27 | Journal Article |

Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion

Yutao Jiang;Yang Zhou;Yuan Liang;Wenxi Liu;Jianbo Jiao;Yuhui Quan;Shengfeng He

2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
This paper aims to resolve the challenging problem of wide-angle novel view synthesis from a single image, a.k.a. wide-angle 3D photography. Existing approaches rely on local context and treat them equally to inpaint occluded RGB and depth regions, which fail to deal with large-region occlusion (i.e., observing from an extreme angle) and foreground layers might blend into background inpainting. To...Show More

Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion

Yutao Jiang;Yang Zhou;Yuan Liang;Wenxi Liu;Jianbo Jiao;Yuhui Quan;Shengfeng He

Year: 2023 | Conference Paper |

Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method

Yuan Liang;Bailin Deng;Wenxi Liu;Jing Qin;Shengfeng He

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2023 | Volume: 45, Issue: 12 | Journal Article |
Cited by: Papers (3)
Traditional monocular depth estimation assumes that all objects are reliably visible in the RGB color domain. However, this is not always the case as more and more buildings are decorated with transparent glass walls. This problem has not been explored due to the difficulties in annotating the depth levels of glass walls, as commercial depth sensors cannot provide correct feedbacks on transparent ...Show More

Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method

Yuan Liang;Bailin Deng;Wenxi Liu;Jing Qin;Shengfeng He

Year: 2023 | Volume: 45, Issue: 12 | Journal Article |

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