no code implementations • 28 Jan 2024 • Chenhao Tong, Maria A. Rodriguez, Richard O. Sinnott
However, an optimal coordination strategy is often non-trivial to be manually defined due to the complex nature of patrolling environments.
1 code implementation • IEEE International Conference on Edge Computing and Communications 2023 • Zuo Huang, Richard O. Sinnott
This is comparable to state-of-the-art deep crowd counting models, but at a fraction of the original model size and complexity, thus making the solution suitable for IoT devices.
Ranked #1 on Crowd Counting on JHU-CROWD++
no code implementations • 24 Jul 2023 • Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cecile Paris
In recent years, graph-based methods have yielded strong results, as they can closely model the social context and propagation process of online news.
no code implementations • 16 Dec 2022 • Chenhao Tong, Aaron Harwood, Maria A. Rodriguez, Richard O. Sinnott
In this approach, the agents are trained to patrol an environment with various unknown dynamics and factors.
no code implementations • 9 Dec 2022 • Yueying Chang, Richard O. Sinnott
Audio sound recognition and classification is used for many tasks and applications including human voice recognition, music recognition and audio tagging.
no code implementations • 14 Jun 2022 • Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke
To mitigate such problem, a novel direction is to automatically learn the image augmentation policies from the given dataset using Automated Data Augmentation (AutoDA) techniques.
no code implementations • SEMEVAL 2018 • Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cecile Paris
This paper describes a warrant classification system for SemEval 2018 Task 12, that attempts to learn semantic representations of reasons, claims and warrants.