Výsledky vyhledávání - "Wan, Zhiqiang"

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iBARLE: imBalance-Aware Room Layout Estimation

Autor: Jing, Taotao, Wang, Lichen, Khosravan, Naji, Wan, Zhiqiang, Bessinger, Zachary, Ding, Zhengming, Kang, Sing Bing

Room layout estimation predicts layouts from a single panorama. It requires datasets with large-scale and diverse room shapes to train the models. However, there are significant imbalances in real-world datasets including the dimensions of layout com

Externí odkaz: http://arxiv.org/abs/2308.15050

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U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation

Autor: Fayyazsanavi, Pooya, Wan, Zhiqiang, Hutchcroft, Will, Boyadzhiev, Ivaylo, Li, Yuguang, Kosecka, Jana, Kang, Sing Bing

While the existing deep learning-based room layout estimation techniques demonstrate good overall accuracy, they are less effective for distant floor-wall boundary. To tackle this problem, we propose a novel uncertainty-guided approach for layout bou

Externí odkaz: http://arxiv.org/abs/2304.08580

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Akademický článek

Warming Increases Ecological Niche of Leymus chinensis but Is Detrimental to Species Diversity in Inner Mongolia Temperate Grasslands.

Autor: Zhang, Xingbo¹ (AUTHOR) 20234016007@mails.imnu.edu.cn, Wan, Zhiqiang^1,2 (AUTHOR) 15335570293@139.com, Gu, Rui³ (AUTHOR) guruiwudan2008@163.com, Dong, Lingman¹ (AUTHOR) chenxuemeng2000@163.com, Chen, Xuemeng¹ (AUTHOR), Chun, Xi^1,2 (AUTHOR), Zhou, Haijun^1,2 (AUTHOR), Zhang, Weiqing¹ (AUTHOR)

Publikováno v: Agronomy. Oct2024, Vol. 14 Issue 10, p2425. 14p.

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PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation

Autor: Wang, Haiyan, Hutchcroft, Will, Li, Yuguang, Wan, Zhiqiang, Boyadzhiev, Ivaylo, Tian, Yingli, Kang, Sing Bing

In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas. Our system, called Position-aware Stereo Merging Network or PSMNet, is an end-to-end joint layout-pose estimator. PSMNet consists of

Externí odkaz: http://arxiv.org/abs/2203.15965

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