no code implementations • 23 Mar 2023 • Yun Liu, Xuefeng Yan, Zhilei Chen, Zhiqi Li, Zeyong Wei, Mingqiang Wei
Self-supervised learning is attracting large attention in point cloud understanding.
1 code implementation • 4 Aug 2022 • Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei
High-confidence overlap prediction and accurate correspondences are critical for cutting-edge models to align paired point clouds in a partial-to-partial manner.
no code implementations • 20 Jun 2022 • Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Mingqiang Wei, Jing Qin
This paper presents a novel deep neural network framework for RGB-D salient object detection by controlling the message passing between the RGB images and depth maps on the feature level and exploring the long-range semantic contexts and geometric information on both RGB and depth features to infer salient objects.
1 code implementation • 9 Jun 2022 • Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin
In this paper, we propose Adaptive Graph Convolution (AGConv) for wide applications of point cloud analysis.