Taeyeong Choi

23 papers A* 5Misc 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation.
ECMR
Robel Mamo, Taeyeong Choi
2025 J jnl
CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation.
CoRR
Robel Mamo, Taeyeong Choi
2025 J jnl
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities.
CoRR
Yongshuai Liu, Taeyeong Choi, Xin Liu
2025 — conf
Towards Safer Mixed Reality with Auditory Warnings for Uncontrolled Indoor Settings.
VR Workshops
Nasim Ahmed, Taeyeong Choi, Xinyue Zhang, Sahidul Islam, Rifatul Islam
2024 A* conf
"Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication.
AAAI
Grisha Bandodkar, Shyam Agarwal, Athul Krishna Sughosh, Sahilbir Singh, Taeyeong Choi
2024 J jnl
Channel randomisation: Self-supervised representation learning for reliable visual anomaly detection in speciality crops.
Comput. Electron. Agric.
Taeyeong Choi, Owen Would, Adrian Salazar Gomez, Xin Liu, Grzegorz Cielniak
2024 — conf
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots.
CASE
Taeyeong Choi, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu
2024 A* conf
EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals.
AAAI
Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi, Xin Liu
2023 J jnl
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots.
CoRR
Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu
2022 J jnl
Beyond tracking: using deep learning to discover novel interactions in biological swarms.
Artif. Life Robotics
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2022 A* conf
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies.
ICRA
Taeyeong Choi, Owen Would, Adrian Salazar Gomez, Grzegorz Cielniak
2021 — conf
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning.
ECMR
Taeyeong Choi, Grzegorz Cielniak
2021 J jnl
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning.
CoRR
Taeyeong Choi, Grzegorz Cielniak
2021 J jnl
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms.
CoRR
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2021 A* conf
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change.
AAAI
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2021 J jnl
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies.
CoRR
Taeyeong Choi, Owen Would, Adrian Salazar Gomez, Grzegorz Cielniak
2020 — conf
Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems.
MFI
Taeyeong Choi, Theodore P. Pavlic
2020 — —
Deep Learning Approaches for Inferring Collective Macrostates from Individual Observations in Natural and Artificial Multi-Agent Systems Under Realistic Constraints.
Taeyeong Choi
2020 — conf
How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams.
ACSOS
Sehyeok Kang, Taeyeong Choi, Theodore P. Pavlic
2020 J jnl
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change.
CoRR
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2020 A* conf
Learning local behavioral sequences to better infer non-local properties in real multi-robot systems.
ICRA
Taeyeong Choi, Sehyeok Kang, Theodore P. Pavlic
2017 — conf
Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming.
CASE
Taeyeong Choi, Theodore P. Pavlic, Andréa W. Richa
2015 Misc conf
Stealthy behavior simulations based on cognitive data.
ICMLC
Taeyeong Choi, Hyeon-Suk Na