1 code implementation • 31 Mar 2023 • Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei
In this study, we propose an effective image deraining paradigm for Mixture of rain REmoval, called DEMore-Net, which takes full account of the MOR effect.
no code implementations • 17 Nov 2022 • Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei
We propose ImLiDAR, a new 3OD paradigm to narrow the cross-sensor discrepancies by progressively fusing the multi-scale features of camera Images and LiDAR point clouds.
no code implementations • 3 Nov 2022 • Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jin Qin, Mingqiang Wei
There is a trend to fuse multi-modal information for 3D object detection (3OD).
1 code implementation • 3 Sep 2022 • Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei
Adverse weather conditions such as haze, rain, and snow often impair the quality of captured images, causing detection networks trained on normal images to generalize poorly in these scenarios.
1 code implementation • 2 Sep 2022 • Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei
Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details.
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.