Search Results for author: Pengliang Ji

Found 5 papers, 2 papers with code

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation

1 code implementation ICCV 2023 Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan Yuille

Motivated by the recent success of generative models in rigid object pose estimation, we propose 3D-aware Neural Body Fitting (3DNBF) - an approximate analysis-by-synthesis approach to 3D human pose estimation with SOTA performance and occlusion robustness.

3D Human Pose Estimation Contrastive Learning

Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network

1 code implementation17 Dec 2021 An Tao, Yueqi Duan, He Wang, Ziyi Wu, Pengliang Ji, Haowen Sun, Jie zhou, Jiwen Lu

It results in a serious issue of lagged gradient, making the learned attack at the current step ineffective due to the architecture changes afterward.

3D Classification 3D Semantic Segmentation +2

PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval

no code implementations9 Nov 2021 Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Zhang Xiong

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, occlusions or background clutters, and also enhance the discriminative ability of shape representations.

3D Shape Retrieval Retrieval

Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test

no code implementations1 Apr 2021 Pengliang Ji, Li Ruan, Yunzhi Xue, Limin Xiao, Qian Dong

To the best of our knowledge, we are the first to perform such recent empirical survey on both the datasets and toolsets using a SLA based survey approach.

Autonomous Driving

Cannot find the paper you are looking for? You can Submit a new open access paper.