no code implementations • 16 Jan 2024 • Yining Hong, Zishuo Zheng, Peihao Chen, Yian Wang, Junyan Li, Chuang Gan
Human beings possess the capability to multiply a melange of multisensory cues while actively exploring and interacting with the 3D world.
1 code implementation • CVPR 2023 • Zhijie Shen, Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Shuai Zheng, Yao Zhao
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences.
1 code implementation • ICCV 2023 • Kang Liao, Lang Nie, Chunyu Lin, Zishuo Zheng, Yao Zhao
In this work, we explore constructing a win-win representation on both content and boundary by contributing a new learning model, i. e., Rectangling Rectification Network (RecRecNet).
no code implementations • 6 Jul 2022 • Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Zhijie Shen, Yao Zhao
In this paper, we combine the two different representations and propose a novel 360{\deg} semantic segmentation solution from a complementary perspective.
1 code implementation • 17 Mar 2022 • Zhijie Shen, Chunyu Lin, Kang Liao, Lang Nie, Zishuo Zheng, Yao Zhao
In particular, we divide patches on the spherical tangent domain into tokens to reduce the negative effect of panoramic distortions.
Ranked #4 on Depth Estimation on Stanford2D3D Panoramic