Search Results for author: Jingjing Jiang

Found 14 papers, 4 papers with code

Autonomous Emergency Braking With Driver-In-The-Loop: Torque Vectoring for Active Learning

no code implementations16 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.

Active Learning Friction

A hierarchical control framework for autonomous decision-making systems: Integrating HMDP and MPC

no code implementations12 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.

Decision Making Model Predictive Control

Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System

no code implementations21 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.

FFINet: Future Feedback Interaction Network for Motion Forecasting

no code implementations8 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.

Motion Forecasting Position +1

An Exploration-Exploitation Approach to Anti-lock Brake Systems

no code implementations26 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.

Friction

MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering

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.

Question Answering Visual Question Answering

Potential Auto-driving Threat: Universal Rain-removal Attack

no code implementations18 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.

Autonomous Driving Image Generation +2

Progress and summary of reinforcement learning on energy management of MPS-EV

no code implementations8 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.

energy management Management +2

Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering

1 code implementation14 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.

Adversarial Robustness Question Answering +1

A novel learning-based robust model predictive control energy management strategy for fuel cell electric vehicles

no code implementations12 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.

energy management Management +1

LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering

1 code implementation29 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.

Question Answering Video Question Answering +2

X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering

1 code implementation24 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.

Attribute Out-of-Distribution Generalization +2

Learning to Infer Unseen Attribute-Object Compositions

no code implementations27 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.

Attribute Object

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