no code implementations • 10 Nov 2023 • Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum
To achieve this, U3DS$^3$ leverages a generalized unsupervised segmentation method for both object and background across both indoor and outdoor static 3D point clouds with no requirement for model pre-training, by leveraging only the inherent information of the point cloud to achieve full 3D scene segmentation.
no code implementations • 31 Oct 2023 • Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal
We present SignAvatars, the first large-scale, multi-prompt 3D sign language (SL) motion dataset designed to bridge the communication gap for Deaf and hard-of-hearing individuals.
no code implementations • 30 May 2023 • Wenshuo Chen, Xiang Zhou, Zhengdi Yu, Weixi Gu, Kai Zhang
Estimating human pose from video is a task that receives considerable attention due to its applicability in numerous 3D fields.
Ranked #60 on 3D Human Pose Estimation on 3DPW (PA-MPJPE metric)
1 code implementation • CVPR 2023 • Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang
Our method significantly outperforms the best interacting-hand approaches on the InterHand2. 6M dataset while yielding comparable performance with the state-of-the-art single-hand methods on the FreiHand dataset.
Ranked #2 on 3D Interacting Hand Pose Estimation on InterHand2.6M
2 code implementations • 19 Apr 2022 • Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby Breckon, Ling Shao, Niki Trigoni, Andrew Markham
We present RangeUDF, a new implicit representation based framework to recover the geometry and semantics of continuous 3D scene surfaces from point clouds.
1 code implementation • ICCV 2021 • Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham
Accurately describing and detecting 2D and 3D keypoints is crucial to establishing correspondences across images and point clouds.