Publications

Publications

(* Corresponding author)

Preprints

• Microsurgical Instrument Segmentation for Robot-Assisted Surgery [arXiv:2509.11727][dataset][video]

Tae Kyeong Jeong, Garam Kim, and Juyoun Park*

• Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge [arXiv:2507.16559]

Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm

[Placed 4th in the Surgical Instrument Instance Segmentation Task of the PhaKIR 2024 Challenge part of MICCAI 2024]

• Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework [arXiv:2411.12199]

Tae-Min Choi and Juyoun Park*

Journals and Conferences

• Hierarchical Reinforcement Learning for Navigation among Movable and Immovable Obstacles

Han Jun Bae and Juyoun Park*

IEEE Access, 2025, doi: 10.1109/ACCESS.2025.3598230. [video]

• CAG: Context-conditional 2D Affordance Generation

Geonkuk Kim, Tae-Min Choi, Shinsuk Park, and Juyoun Park*

IEEE International Conference on Image Processing (ICIP), 2025, doi: 10.1109/ICIP55913.2025.11084719. 

• A Real-time Anomaly Detection Method for Robots based on a Flexible and Sparse Latent Space

Taewook Kang, Bum-Jae You, Juyoun Park*, and Yisoo Lee*

Engineering Applications of Artificial Intelligence, 2025, doi: 10.1016/j.engappai.2025.111310. [arXiv] 

• Heterogeneous Multi-Agent Reinforcement Learning based on Modularized Policy Network

Hyeong Tae Kim and Juyoun Park* 

Expert Systems With Applications, 2025, doi: 10.1016/j.eswa.2025.127856. [video]

• In-sensor multilevel image adjustment for high-clarity contour extraction using adjustable synaptic phototransistors

Jong Ik Kwon, Ji Su Kim, Hyojin Seung, Jihoon Kim, Hanguk Cho, Tae-Min Choi, Jungwon Park, Juyoun Park, Jung Ah Lim, Moon Kee Choi*, Dae-Hyeong Kim*, Changsoon Choi*

Science Advances, 2025, doi: 10.1126/sciadv.adt6527. 

• Textual Attention RPN for Open-Vocabulary Object Detection

Tae-Min Choi, Inug Yoon, Jong-Hwan Kim, and Juyoun Park*

British Machine Vision Conference (BMVC), 2024. [paper]

• Multi-Level Segmentation Data Generation based on a Scene-Specific Word Tree

Soomin Kim and Juyoun Park*

IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3418515. 

• VC-2AG:Verb-Conditional 2D Affordance Generation for Robotic Manipulation

Geonkuk Kim, Tae-Min Choi,  and Juyoun Park*

International Conference on Robot Intelligence Technology and Applications (RiTA), 2024.

• Visual Affordance Model for Apple Harvesting based on Hybrid Egocentric Dataset Collection

Geonkuk Kim and Juyoun Park*

ICRA Late breaking result poster, IEEE International Conference on Robotics and Automation (ICRA), 2024. 

• Trainable Quaternion Extended Kalman Filter with Multi-Head Attention for Dead Reckoning in Autonomous Ground Vehicles

Gary Milam, Baijun Xie, Runnan Liu, Xiaoheng Zhu, Juyoun Park, Gonwoo Kim, and Chung Hyuk Park*

Sensors,  2022, doi: 10.3390/s22207701. 

• Recognition and Prediction of Surgical Actions Based on Online Robotic Tool Detection

Juyoun Park and Chung Hyuk Park*

IEEE Robotics and Automation Letters (RA-L) with ICRA option, 2021, doi: 10.1109/LRA.2021.3060410. [paper][video] 

• Online Incremental Hierarchical Classification Resonance Network

Ju-Youn Park and Jong-Hwan Kim*

Pattern Recognition, 2021, doi: 10.1016/j.patcog.2020.107672. [paper][video]

• Formal Verification for Human-Robot Interaction in Medical Environments

Benjamin J. Choi, Juyoun Park, and Chung Hyuk Park*

Late-Breaking Report, Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2021, doi: 10.1145/3434074.3447155.

• MarsNet: Multi-label Classification for Images of Various Sizes for PCB Solder Paste Inspection

Ju-Youn Park, Yewon Hwang, Dukyoung Lee, and Jong-Hwan Kim*

IEEE Access, 2020, doi: 10.1109/ACCESS.2020.2969217. [paper]

• Trust Learning for Initiating Physical Human-Robot Interaction

Juyoun Park and Chung Hyuk Park*

ICRA Workshop on Integrating Multidisciplinary Approaches to Advance Physical Human-Robot Interaction, IEEE International Conference on Robotics and Automation (ICRA), 2020. [paper][video][ppt]

• Online Incremental Classification Resonance Network and Its Application to Human-Robot Interaction

Ju-Youn Park and Jong-Hwan Kim*

IEEE Transactions on Neural Networks and Learning Systems, 2019, doi: 10.1109/TNNLS.2019.2920158. [paper][video]

• Incremental Class Learning for Hierarchical Classification

Ju-Youn Park and Jong-Hwan Kim*

IEEE Transactions on Cybernetics, 2018, doi: 10.1109/TCYB.2018.2866869. [paper][video]

• Integrated Adaptive Resonance Theory Neural Model for Episodic Memory with Task Memory for Task Performance of Robots

Ju-Youn Park, Yong-Ho Yoo, Deok-Hwa Kim, and Jong-Hwan Kim*

IEEE Congress on Evolutionary Computation (CEC), 2016, doi: 10.1109/CEC.2016.7744415. [paper]

• Multimedia Recommendation System Using Adaptive Resonance Theory Neural Model for Digital Storytelling

Ju-Youn Park, Woo-Ri Ko, and Jong-Hwan Kim*

IEEE International Joint Conference on Neural Networks (IJCNN), 2016, doi: 10.1109/IJCNN.2016.7727601. [paper]

Domestic Conferences (Korean)

• Multi-task Learning for Micro Surgical Video Understanding including Surgical step anticipation

Garam Kim, Tae-Min Choi, Taekyeong Jeong, and Juyoun Park*

Summer Annual Conference of IEIE (The Institute of Electronics and Information Engineers), 2025.

• Color Highlighting Strategy Analysis & Dataset Development for Narrow Surgical Tool Segmentation in Supermicrosurgical Robot Environments

Taekyeong Jeong, Tae-Min Choi, and Juyoun Park*

Korea Robotics Society Annual Conference (KRoC), 2025. 

• Preliminary Study on the Applicability of Synergy-Based Reinforcement Learning for Humanoid Manipulation

Soohan Kim, Jigang Kim*, and Juyoun Park* 

Korea Robotics Society Annual Conference (KRoC), 2025. 

• Building a Dataset and Fine-Tuning for an Affordance Model based on Video Data for Harvesting Robots

Geonkuk Kim and Juyoun Park*

Korea Robotics Society Annual Conference (KRoC), 2024. 

• Recognition and Anticipation of Surgical Action based on Multiple Modalities

Dongho Kim and Juyoun Park*

Korea Robotics Society Annual Conference (KRoC), 2024. Best Undergraduate Paper Award

• Door Detection System for Context-Aware Local Path Planning with Mobile Robot

Han Jun Bae and Juyoun Park*

Korea Robotics Society Annual Conference (KRoC), 2023. 

• Emotional Interactive Kiosk System for Automatic Ordering

Juyoun Park†, Jinyoung Lee†, and Ig-Jae Kim*

Korea Robotics Society Annual Conference (KRoC), 2023.  (†Contributed equally)

• Preliminary study on visualization and analysis of video-based facial expression classification model for tension state judgment

Dong Eon Kim, Han Jun Bae, Gipyo Nam, and Juyoun Park*

Workshop on Image Processing and Image Understanding (IPIU), 2023.