no code implementations • 10 Mar 2024 • Jianping Li, Thien-Minh Nguyen, Shenghai Yuan, Lihua Xie
The proposed method consists of a spatial smoothing module and a pose adjustment module, which combines the benefits of local consistency and global accuracy.
1 code implementation • 6 Feb 2024 • Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen, Thien-Minh Nguyen, Jianfei Yang, Fen Liu, Jianping Li, Han Wang, Lihua Xie
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we introduce MMAUD: a comprehensive Multi-Modal Anti-UAV Dataset.
1 code implementation • 2 Feb 2024 • Zequan Chen, Jianping Li, Qusheng Li, Bisheng Yang, Zhen Dong
The experimental results demonstrate DeepAAT's substantial improvements over conventional AAT methods, highlighting its potential in the efficiency and accuracy of UAV-based 3D reconstruction tasks.
1 code implementation • 21 Nov 2023 • Youqi Liao, Shuhao Kang, Jianping Li, Yang Liu, Yun Liu, Zhen Dong, Bisheng Yang, Xieyuanli Chen
Our framework features a two-stream encoder, an active fusion decoder (AFD) and a dual-task regularization approach.
no code implementations • 26 Sep 2023 • Shuhao Kang, Youqi Liao, Jianping Li, Fuxun Liang, Yuhao Li, Xianghong Zou, Fangning Li, Xieyuanli Chen, Zhen Dong, Bisheng Yang
In the fine matching module, point/pixel pairs are established with the guidance of super-point/super-pixel correspondences.
no code implementations • CVPR 2017 • Fan Yang, Xin Li, Hong Cheng, Jianping Li, Leiting Chen
To address these problems, this paper proposes an object-aware method to estimate per-pixel correspondences from semantic to low-level by learning a classifier for each selected discriminative grid cell and guiding the localization of every pixel under the semantic constraint.