2 citations · 6 across the 5 of their papers we have counts for
5 papers
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
Yi Zhang, Pengliang Ji, Angtian Wang +3
Regression-based methods for 3D human pose estimation directly predict the 3D pose parameters from a 2D image using deep networks. While achieving state-of-the-art performance on s…
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
Jiacong Xu, Yi Zhang, Jiawei Peng +17
Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife c…
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
An Tao, Yueqi Duan, He Wang +5
In this paper, we investigate the dynamics-aware adversarial attack problem in deep neural networks. Most existing adversarial attack algorithms are designed under a basic assumpti…
PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval
Jiongchao Jin, Huanqiang Xu, Pengliang Ji +2
We propose the Part-based Recurrent Multi-view Aggregation network(PREMA) to eliminate the detrimental effects of the practical view defects, such as insufficient view numbers, occ…
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
Pengliang Ji, Li Ruan, Yunzhi Xue +2
Owing to the merits of early safety and reliability guarantee, autonomous driving virtual testing has recently gains increasing attention compared with closed-loop testing in real…