no code implementations • 16 Feb 2024 • Benjamin Sullivan, Jingjing Jiang, Georgios Mavros, Wen-Hua Chen
Autonomous Emergency Braking (AEB) potentially brings significant improvements in automotive safety due to its ability to autonomously prevent collisions in situations where the driver may not be able to do so.
no code implementations • 12 Jan 2024 • Xue-Fang Wang, Jingjing Jiang, Wen-Hua Chen
We model the decision making system in complex environments as a hybrid system consisting of a controlled MDP and autonomous (i. e. uncontrolled) continuous dynamics.
no code implementations • 21 Dec 2023 • Ryu Hirai, Shinya Iizuka, Haruhisa Iseno, Ao Guo, Jingjing Jiang, Atsumoto Ohashi, Ryuichiro Higashinaka
At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take more natural turns based on user utterance texts.
no code implementations • 8 Nov 2023 • Miao Kang, Shengqi Wang, Sanping Zhou, Ke Ye, Jingjing Jiang, Nanning Zheng
In this paper, we propose a novel Future Feedback Interaction Network (FFINet) to aggregate features the current observations and potential future interactions for trajectory prediction.
no code implementations • 26 Jun 2023 • Benjamin Sullivan, Jingjing Jiang, Georgios Mavros, Wen-Hua Chen
Anti-lock Brake System (ABS) is a mandatory active safety feature on road vehicles with analogous systems for aircraft and locomotives.
1 code implementation • CVPR 2023 • Jingjing Jiang, Nanning Zheng
In this paper, we propose MixPHM, a redundancy-aware parameter-efficient tuning method that outperforms full finetuning in low-resource VQA.
no code implementations • 18 Dec 2022 • Jincheng Hu, Yang Lin, Jihao Li, Zhuoran Hou, Dezong Zhao, Quan Zhou, Jingjing Jiang, Yuanjian Zhang
The empirical analysis is developed in four aspects: algorithm, perception and decision granularity, hyperparameters, and reward function.
no code implementations • 18 Nov 2022 • Jinchegn Hu, Jihao Li, Zhuoran Hou, Jingjing Jiang, Cunjia Liu, Yuanjian Zhang
The problem of robustness in adverse weather conditions is considered a significant challenge for computer vision algorithms in the applicants of autonomous driving.
no code implementations • 8 Nov 2022 • Jincheng Hu, Yang Lin, Liang Chu, Zhuoran Hou, Jihan Li, Jingjing Jiang, Yuanjian Zhang
RL has received continuous attention and research, but there is still a lack of systematic analysis of the design elements of RL-based EMS.
1 code implementation • 14 Sep 2022 • Jingjing Jiang, Ziyi Liu, Nanning Zheng
In this paper, we aim to improve input robustness from an information bottleneck perspective when adapting pretrained VLMs to the downstream VQA task.
no code implementations • 12 Sep 2022 • Shibo Li, Zhuoran Hou, Liang Chu, Jingjing Jiang, Yuanjian Zhang
Next, the components including explicit data tables and vehicle velocity estimation are combined with model predictive control (MPC) to release the state-of-the-art energy-saving ability for the multi-freedom system in FCEVs, whose name is LRMPC.
1 code implementation • 29 Nov 2021 • Jingjing Jiang, Ziyi Liu, Nanning Zheng
Video Question Answering (VideoQA), aiming to correctly answer the given question based on understanding multi-modal video content, is challenging due to the rich video content.
1 code implementation • 24 Jul 2021 • Jingjing Jiang, Ziyi Liu, Yifan Liu, Zhixiong Nan, Nanning Zheng
In this paper, we formulate OOD generalization in VQA as a compositional generalization problem and propose a graph generative modeling-based training scheme (X-GGM) to implicitly model the problem.
no code implementations • 27 Oct 2020 • Hui Chen, Zhixiong Nan, Jingjing Jiang, Nanning Zheng
The composition recognition of unseen attribute-object is critical to make machines learn to decompose and compose complex concepts like people.