no code implementations • 20 Sep 2022 • Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong liu, Chengjie Wang, Zhiheng Li
In MDRNet, the Spatial-aware Dimensionality Reduction (SDR) is designed to dynamically focus on the valuable parts of the object during voxel-to-BEV feature transformation.
no code implementations • 31 Aug 2022 • Jianlin Liu, Zhuofei Huang, Dihe Huang, Shang Xu, Ying Chen, Yong liu
3D object detection from monocular image(s) is a challenging and long-standing problem of computer vision.
1 code implementation • CVPR 2023 • Dihe Huang, Ying Chen, Shang Xu, Yong liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang
The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance.
1 code implementation • 21 Jun 2022 • Yikang Ding, Zhenyang Li, Dihe Huang, Zhiheng Li, Kai Zhang
Learning-based multi-view stereo (MVS) methods have made impressive progress and surpassed traditional methods in recent years.
no code implementations • 28 May 2022 • Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, Kai Zhang
In this work, we propose Window-based Transformers (WT) for local feature matching and global feature aggregation in multi-view stereo.
1 code implementation • 18 Feb 2022 • Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong liu
Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important.