Taeyeong Choi

According to our database, Taeyeong Choi authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Channel randomisation: Self-supervised representation learning for reliable visual anomaly detection in speciality crops.

Taeyeong Choi, Owen Would, Adrian Salazar Gomez, Xin Liu, Grzegorz Cielniak

Comput. Electron. Agric., 2024

DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots.

Taeyeong Choi, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals.

Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi, Xin Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

"Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication.

Grisha Bandodkar, Shyam Agarwal, Athul Krishna Sughosh, Sahilbir Singh, Taeyeong Choi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots.

Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu

CoRR, 2023

2022

Beyond tracking: using deep learning to discover novel interactions in biological swarms.

Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic

Artif. Life Robotics, 2022

Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies.

Taeyeong Choi, Owen Would, Adrian Salazar Gomez, Grzegorz Cielniak

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning.

Taeyeong Choi, Grzegorz Cielniak

Proceedings of the 10th European Conference on Mobile Robots, 2021

Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change.

Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Learning Approaches for Inferring Collective Macrostates from Individual Observations in Natural and Artificial Multi-Agent Systems Under Realistic Constraints.

Taeyeong Choi

PhD thesis, 2020

Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems.

Taeyeong Choi, Theodore P. Pavlic

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

Learning local behavioral sequences to better infer non-local properties in real multi-robot systems.

Taeyeong Choi, Sehyeok Kang, Theodore P. Pavlic

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams.

Sehyeok Kang, Taeyeong Choi, Theodore P. Pavlic

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2017

Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming.

Taeyeong Choi, Theodore P. Pavlic, Andréa W. Richa

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2015

Stealthy behavior simulations based on cognitive data.

Taeyeong Choi, Hyeon-Suk Na

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015