Publications

* Some papers appear in both journal and conference (i.e., RA-L + ICRA, RA-L + IROS).

PrePrint

• "Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning", Gawon Choi and Hyemin Ahn, arXiv:2404.03891 (2024), [Code].

International Journal

• "Vision-Based Approximate Estimation of Muscle Activation Patterns for Tele-Impedance", Hyemin Ahn, Youssef Michel, Thomas Eiband, and Dongheui Lee, Robotics and Automation Letters (RA-L), 2023, [Paper]

• "Human-object interaction prediction in videos through gaze following", Zhifan Ni, Esteve Valls Mascaró, Hyemin Ahn, Dongheui Lee, Computer Vision and Image Understanding, 2023.

• "Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music", Hyemin Ahn*, Jaehun Kim*, Kihyun Kim*, and Songhwai Oh, Robotics and Automation Letters (RA-L), 2020. [Paper] [Video]

• "Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration", Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, and Songhwai Oh, Robotics and Automation Letters (RA-L), 2018 (Also published to IROS 2018). [Paper] [Code] [Video]

• "Online Learning to Approach a Person with No-Regret", Hyemin Ahn, Yoonseon Oh, Sungjoon Choi, Claire J. Tomlin, and Songhwai Oh, Robotics and Automation Letters (RA-L), 2018 (Also published to IROS 2017). [Paper] [Supp.]

International Conference

• VAFOR: Proactive Voice Assistant for Object Retrieval in the Physical World, Bekatan Satyev and Hyemin Ahn, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023 [Code]

• Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?, Hyemin Ahn, Esteve Valls Mascaro, and Dongheui Lee, International Conference on Robotics and Automation (ICRA), 2023 [Paper] [Code] [Project Page]

• Intention-Conditioned Long-Term Human Egocenteric Action Anticipation, Esteve Valls Mascaro, Hyemin Ahn, and Dongheui Lee, Winter Conference on Applications of Computer Vision (WACV), 2023 [Paper]

• "Robust Human Motion Forecasting using Transformer-based Model", Esteve Valls Mascaro, Hyemin Ahn, and Dongheui Lee, International Conference on Intelligent Robotics and Systems (IROS), 2022. [Paper]

• "Visually Grounding Language Instruction for History-Dependent Manipulation", Hyemin Ahn*, Obin Kwon*, Kyungdo Kim, Jaeyeon Jeong, Howoong Jun, Hongjung Lee, Dongheui Lee, and Songhwai Oh. (*These authors are equally contributed to this work), Internation Conference on Robotics and Automation (ICRA), 2022. [Paper] [Code] [Project Page]

• "Refining Action Segmentation with Hierarchical Video Representations", Hyemin Ahn and Dongheui Lee, International Conference on Computer Vision (ICCV), 2021. [Paper] [Code]

• "Self-Supervised Motion Retargeting with Safety Guarantee", Sungjoon Choi, Min Jae Song, Hyemin Ahn, and Joohyung Kim, International Conference on Robotics and Automation (ICRA), 2021. [Paper] [Video]

• "Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model", Kyungdo Kim, Yoon Kyung Lee, Hyemin Ahn, Sowon Hahn, and Songhwai Oh, International Conference on Intelligent Robots and Systems (IROS), 2020. [Paper] [Video]

• "Text2Action: Generative Adversarial Synthesis from Language to Action", Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh, International Conference on Robotics and Automation (ICRA), 2018. [Paper] [Code] [Video]

• "Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration", Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, and Songhwai Oh, International Conference on Intelligent Robots and Systems (IROS), 2018 (Also published to RA-L 2018). [Paper] [Code] [Video]

• "Online Learning to Approach a Person with No-Regret", Hyemin Ahn, Yoonseon Oh, Sungjoon Choi, Claire J. Tomlin, and Songhwai Oh, International Conference on Intelligent Robots and Systems (IROS), 2017 (Also published to RA-L 2018). [Paper] [Supp.]