1 code implementation • 14 May 2024 • Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu
For fine-grained language understanding, we train a Multimodal Large Language Model to refine the captions of the images.
no code implementations • 16 Apr 2024 • Fan Zhang, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, Qin Lin
On the other hand, machine learning benefits from an additional assurance layer provided by the ESO, as any imperfections in the machine learning model can be compensated for by the ESO.
no code implementations • 31 Aug 2023 • Colman McGuan, Chansu Yu, Qin Lin
On our testbed, we validate our proposed intrusion detection model called Minimal Threshold and Window SVM (MinTWin SVM) that utilizes unsupervised machine learning via a one-class SVM in combination with a sliding window and classification threshold.
no code implementations • 26 Aug 2023 • Jinfeng Chen, Zhiqiang Gao, Qin Lin
Our approach provides a less conservative estimation error bound than other disturbance observer-based CBFs.
no code implementations • 25 Aug 2023 • Dvij Kalaria, Qin Lin, John M. Dolan
In this work, we propose a curriculum learning-based framework by transitioning from a simpler vehicle model to a more complex real environment to teach the reinforcement learning agent a policy closer to the optimal policy.
1 code implementation • 25 Sep 2022 • Yunlong Tang, Siting Xu, Teng Wang, Qin Lin, Qinglin Lu, Feng Zheng
The existing method performs well at video segmentation stages but suffers from the problems of dependencies on extra cumbersome models and poor performance at the segment assemblage stage.
no code implementations • 29 Oct 2019 • Qin Lin, Sicco Verwer, John Dolan
Imitation learning provides a way to automatically construct a controller by mimicking human behavior from data.
no code implementations • 28 Oct 2019 • Qin Lin, Wenshuo Wang, Yihuan Zhang, John Dolan
Understanding multi-vehicle interactive behaviors with temporal sequential observations is crucial for autonomous vehicles to make appropriate decisions in an uncertain traffic environment.
no code implementations • 24 May 2017 • Xiaoran Liu, Qin Lin, Sicco Verwer, Dmitri Jarnikov
This paper focuses on detecting anomalies in a digital video broadcasting (DVB) system from providers' perspective.
no code implementations • 21 Nov 2016 • Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State
Automaton models are often seen as interpretable models.
no code implementations • 12 Feb 2013 • Yue Huang, John Paisley, Qin Lin, Xinghao Ding, Xueyang Fu, Xiao-Ping Zhang
The size of the dictionary and the patch-specific sparsity pattern are inferred from the data, in addition to other dictionary learning variables.