| 2025 | ICRA | Learning Dexterous Bimanual Catch Skills Through Adversarial-Cooperative Heterogeneous-Agent Reinforcement Learning. | Taewoo Kim, Youngwoo Yoon, Jaehong Kim |
| 2025 | WACV | A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production. | Eui Jun Hwang, Sukmin Cho, Huije Lee, Youngwoo Yoon, Jong C. Park |
| 2024 | ICLR | LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents. | Jae-Woo Choi, Youngwoo Yoon, Hyobin Ong, Jaehong Kim, Minsu Jang |
| 2024 | ICMI | GENEA Workshop 2024: The 5th Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents. | Youngwoo Yoon, Taras Kucherenko, Alice Delbosc, Rajmund Nagy, Teodor Nikolov, Gustav Eje Henter |
| 2023 | HAI | A Structured Prompting based on Belief-Desire-Intention Model for Proactive and Explainable Task Planning. | Minsu Jang, Youngwoo Yoon, Jaewoo Choi, Hyobin Ong, Jaehong Kim |
| 2023 | ICMI | The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings. | Taras Kucherenko, Rajmund Nagy, Youngwoo Yoon, Jieyeon Woo, Teodor Nikolov, Mihail Tsakov, Gustav Eje Henter |
| 2023 | ICMI | GENEA Workshop 2023: The 4th Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents. | Youngwoo Yoon, Taras Kucherenko, Jieyeon Woo, Pieter Wolfert, Rajmund Nagy, Gustav Eje Henter |
| 2023 | ICML | Learning to Boost Training by Periodic Nowcasting Near Future Weights. | Jinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, ByungOk Han |
| 2023 | IROS | Co-Speech Gesture Synthesis using Discrete Gesture Token Learning. | Shuhong Lu, Youngwoo Yoon, Andrew Feng |
| 2023 | MIG | Objective Evaluation Metric for Motion Generative Models: Validating Frchet Motion Distance on Foot Skating and Over-smoothing Artifacts. | Antoine Maiorca, Hugo Bohy, Youngwoo Yoon, Thierry Dutoit |
| 2022 | ICMI | GENEA Workshop 2022: The 3rd Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents. | Pieter Wolfert, Taras Kucherenko, Carla Viegas, Zerrin Yumak, Youngwoo Yoon, Gustav Eje Henter |
| 2022 | ICMI | The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. | Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, Gustav Eje Henter |
| 2022 | MIG | A Tool for Extracting 3D Avatar-Ready Gesture Animations from Monocular Videos. | Andrew Feng, Samuel Shin, Youngwoo Yoon |
| 2022 | SIGGRAPH | Evaluating the Quality of a Synthesized Motion with the Frchet Motion Distance. | Antoine Maiorca, Youngwoo Yoon, Thierry Dutoit |
| 2021 | ICMI | HEMVIP: Human Evaluation of Multiple Videos in Parallel. | Patrik Jonell, Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Gustav Eje Henter |
| 2021 | ICMI | GENEA Workshop 2021: The 2nd Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents. | Taras Kucherenko, Patrik Jonell, Youngwoo Yoon, Pieter Wolfert, Zerrin Yumak, Gustav Eje Henter |
| 2021 | IUI | A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: The GENEA Challenge 2020. | Taras Kucherenko, Patrik Jonell, Youngwoo Yoon, Pieter Wolfert, Gustav Eje Henter |
| 2021 | UIST | SGToolkit: An Interactive Gesture Authoring Toolkit for Embodied Conversational Agents. | Youngwoo Yoon, Keunwoo Park, Minsu Jang, Jaehong Kim, Geehyuk Lee |
| 2020 | UIST | DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera. | Keunwoo Park, Sunbum Kim, Youngwoo Yoon, Tae-Kyun Kim, Geehyuk Lee |
| 2019 | ICRA | Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots. | Youngwoo Yoon, Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee |
| 2018 | UIST | Touch180: Finger Identification on Mobile Touchscreen using Fisheye Camera and Convolutional Neural Network. | Insu Kim, Keun-Woo Park, Youngwoo Yoon, Geehyuk Lee |
| 2014 | ICPR | Real-Time Visual Target Tracking in RGB-D Data for Person-Following Robots. | Youngwoo Yoon, Woo-han Yun, Ho-Sub Yoon, Jaehong Kim |
| 2013 | RO-MAN | A perception framework for supporting robots to recognize human better in Human-Robot interaction. | DoHyung Kim, Jaeyeon Lee, Youngwoo Yoon, Woo-han Yun, Kyu-Dae Ban, Ho-Sub Yoon, Jaehong Kim |
| 2013 | RO-MAN | A development of the perception framework to make the robots conscious with the aid of perception sensor network. | Jaeyeon Lee, Youngwoo Yoon, Woo-han Yun, DoHyung Kim, Ho-Sub Yoon, Jaehong Kim |
| 2013 | RO-MAN | Depth assisted person following robots. | Youngwoo Yoon, Ho-Sub Yoon, Jaehong Kim |
| 2012 | MMSP | Blob detection and filtering for character segmentation of license plates. | Youngwoo Yoon, Kyu-Dae Ban, Ho-Sub Yoon, Jaehong Kim |
| 2011 | SMC | Blob extraction based character segmentation method for automatic license plate recognition system. | Youngwoo Yoon, Kyu-Dae Ban, Ho-Sub Yoon, Jaehong Kim |
| 2009 | RO-MAN | An experimental comparison of preprocessing methods for age classification. | Youngwoo Yoon, Ho-Sub Yoon, Jaeyeon Lee |
| 2007 | HCI | BetweenKeys: Looking for Room Between Keys. | Youngwoo Yoon, Geehyuk Lee |
| 2007 | VR | Visualizing Spray Paint Deposition in VR Training. | Daeseok Kim, Youngwoo Yoon, Sunyu Hwang, Geehyuk Lee, Jinah Park |