no code implementations • 25 Apr 2024 • Ao Xiang, Jingyu Zhang, Qin Yang, Liyang Wang, Yu Cheng
With the development and widespread application of digital image processing technology, image splicing has become a common method of image manipulation, raising numerous security and legal issues.
no code implementations • 19 Apr 2024 • Danqing Ma, Meng Wang, Ao Xiang, Zongqing Qi, Qin Yang
This study proposes a multi-modal fusion framework Multitrans based on the Transformer architecture and self-attention mechanism.
no code implementations • 10 Apr 2024 • Jingyu Zhang, Ao Xiang, Yu Cheng, Qin Yang, Liyang Wang
With the rapid advancement of artificial intelligence technology, AI-enabled image recognition has emerged as a potent tool for addressing challenges in traditional environmental monitoring.
no code implementations • 13 Mar 2024 • Ao Xiang, Zongqing Qi, Han Wang, Qin Yang, Danqing Ma
This paper introduces a new multi-modal model based on the Transformer architecture and tensor product fusion strategy, combining BERT's text vectors and ViT's image vectors to classify students' psychological conditions, with an accuracy of 93. 65%.
no code implementations • 10 Jan 2024 • Qin Yang
This paper proposes a hierarchical compound intrinsic value reinforcement learning model -- innate-values-driven reinforcement learning termed IVRL to describe the complex behaviors of multi-agent interaction in their cooperation.
no code implementations • 1 Jan 2024 • Qin Yang
In recent years, edge computing has served as a paradigm that enables many future technologies like AI, Robotics, IoT, and high-speed wireless sensor networks (like 5G) by connecting cloud computing facilities and services to the end users.
no code implementations • 15 Jun 2023 • Qin Yang, Rui Liu
As a unifying concept in economics, game theory, and operations research, even in the Robotics and AI field, the utility is used to evaluate the level of individual needs, preferences, and interests.
no code implementations • 28 Mar 2023 • Qin Yang, Ramviyas Parasuraman
We present an Explore game domain, where we measure the performance of MAS achieving tasks from the perspective of balancing the success probability and system costs.
no code implementations • 7 Mar 2023 • Qin Yang, Ramviyas Parasuraman
Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system's utility, decrease the overall cost, and increase mission success probability.
1 code implementation • 25 Feb 2023 • Qin Yang
The needs describe the necessities for a system to survive and evolve, which arouses an agent to action toward a goal, giving purpose and direction to behavior.
2 code implementations • 11 Aug 2022 • Qin Yang, Ramviyas Parasuraman
Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system's utility, decrease the overall cost, and increase mission success probability.
no code implementations • CVPR 2022 • Xi Guo, Wei Wu, Dongliang Wang, Jing Su, Haisheng Su, Weihao Gan, Jian Huang, Qin Yang
In this paper, we take an early step towards video representation learning of human actions with the help of largescale synthetic videos, particularly for human motion representation enhancement.
no code implementations • 25 May 2021 • Qin Yang
Distributed artificial intelligence (DAI) studies artificial intelligence entities working together to reason, plan, solve problems, organize behaviors and strategies, make collective decisions and learn.
no code implementations • 16 May 2021 • Qin Yang, Ramviyas Parasuraman
Cooperation in multi-agent and multi-robot systems can help agents build various formations, shapes, and patterns presenting corresponding functions and purposes adapting to different situations.
no code implementations • 17 Aug 2020 • Yi Zhang, Qin Yang, Lifu Zhang, Branko Celler, Steven Su, Peng Xu, Dezhong Yao
Causal decomposition depicts a cause-effect relationship that is not based on the concept of prediction, but based on the phase dependence of time series.
1 code implementation • CVPR 2020 • Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hong-Kai Xiong
Specifically, we propose a spherical graph construction criterion showing that a graph needs to be regular by evenly covering the spherical surfaces in order to design a rotation equivariant graph convolutional layer.