no code implementations • 29 Apr 2024 • Mingi Jeong, Arihant Chadda, Ziang Ren, Luyang Zhao, Haowen Liu, Monika Roznere, Aiwei Zhang, Yitao Jiang, Sabriel Achong, Samuel Lensgraf, Alberto Quattrini Li
This paper introduces the first publicly accessible multi-modal perception dataset for autonomous maritime navigation, focusing on in-water obstacles within the aquatic environment to enhance situational awareness for Autonomous Surface Vehicles (ASVs).
no code implementations • 28 Apr 2024 • Zilong Bai, ruiji zhang, Linqing Chen, Qijun Cai, Yuan Zhong, Cong Wang, Yan Fang, Jie Fang, Jing Sun, Weikuan Wang, Lizhi Zhou, Haoran Hua, Tian Qiu, Chaochao Wang, Cheng Sun, Jianping Lu, Yixin Wang, Yubin Xia, Meng Hu, Haowen Liu, Peng Xu, Licong Xu, Fu Bian, Xiaolong Gu, Lisha Zhang, Weilei Wang, Changyang Tu
In recent years, large language models have attracted significant attention due to their exceptional performance across a multitude of natural language process tasks, and have been widely applied in various fields.
no code implementations • 25 Jul 2023 • Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang
This paper proposes a model integrating two gait cycle-inspired learning strategies to mitigate the challenge for predicting human knee joint trajectory.
no code implementations • 5 May 2023 • Haowen Liu, Fengxian Wu, Bin Zhong, Yijun Zhao, Jiatong Zhang, Wenxin Niu, Mingming Zhang
Moreover, the cane robot can effectively adapt to a wide range of individual gait patterns and achieve stable human following at daily walking speeds (0. 75 m/s - 1. 45 m/s).
no code implementations • 11 Mar 2021 • Haowen Liu, Ping Yi, Hsiao-Ying Lin, Jie Shi, Weidong Qiu
We propose DAFAR, a feedback framework that allows deep learning models to detect/purify adversarial examples in high effectiveness and universality, with low area and time overhead.
no code implementations • 21 Apr 2019 • Yunhao Zhang, Haowen Liu, Paul Rosen, Mustafa Hajij
We use persistent homology along with the eigenfunctions of the Laplacian to study similarity amongst triangulated 2-manifolds.