1 code implementation • 2 Feb 2024 • Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan
We then proposed LLM-Detector, a novel method for both document-level and sentence-level text detection through Instruction Tuning of LLMs.
1 code implementation • 22 Dec 2023 • Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai, Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan
This work is pioneering in the execution of instruction fine-tuning on a sparse expert-mixed model, marking a significant breakthrough in enhancing the capabilities of this model architecture.
no code implementations • 9 Aug 2023 • Fan Bai, Xiaohan Xing, Yutian SHEN, Han Ma, Max Q. -H. Meng
Specifically, to liberate labor, we design a novel discrepancy decoder model and a CAMPUS (CAM, Pseudo-label and groUnd-truth Selection) criterion to replace the noisy CAMs with accurate model predictions and a few human labels.
no code implementations • CUHK Course IERG5350 2020 • Han Ma, Peng Xu
n this paper, we try to solve the mobile robot exploration problem in a 2D indoor office environment by deep reinforcement learning.
no code implementations • 7 Mar 2019 • Jianhao Jiao, Rui Fan, Han Ma, Ming Liu
We apply the designed model and proposed an algorithm for detecting lanes by formulating it as the shortest path problem.
no code implementations • 28 Aug 2018 • Han Ma, Yixin Ma, Jianhao Jiao, M Usman Maqbool Bhutta, Mohammud Junaid Bocus, Lujia Wang, Ming Liu, Rui Fan
Lane detection is very important for self-driving vehicles.