Ni, Z., Valls Mascaro, E., Ahn, H., & Lee, D. (2023). Human–object interaction prediction in videos through gaze following. Computer Vision and Image Understanding, 233, Article 103741. https://doi.org/10.1016/j.cviu.2023.103741 ( reposiTUm)

Mascaro, E. V., Yan, Y., & Lee, D. (2024). Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction. In M. O’Malley (Ed.), 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 17264–17271). IEEE. https://doi.org/10.1109/ICRA57147.2024.10610682 ( reposiTUm)

Mascaro, E. V., & Lee, D. (2024). Know your limits! Optimize the robot’s behavior through self-awareness. In E. Yoshida (Ed.), 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids) (pp. 258–265). https://doi.org/10.1109/Humanoids58906.2024.10769929 ( reposiTUm)

Mascaro, E. V., Ahn, H., & Lee, D. (2024). A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis. In M. Wooldridge (Ed.), Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024) (pp. 5261–5269). AAAI Press. https://doi.org/10.1609/aaai.v38i6.28333 ( reposiTUm)

Mascaro, E. V., Sliwowski, D., & Lee, D. (2023). HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs. In J. Tan, M. Toussaint, & K. Darvish (Eds.), Volume 229: Conference on Robot Learning, 6-9 November 2023, Atlanta, USA (pp. 1111–1130). PMLR. ( reposiTUm)

Yan, Y., Mascaro, E. V., & Lee, D. (2023). ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space. In 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids) (pp. 1–8). IEEE. https://doi.org/10.1109/Humanoids57100.2023.10375150 ( reposiTUm)

Valls Mascaro, E., Ahn, H., & Lee, D. (2023). Intention-Conditioned Long-Term Human Egocentric Action Forecasting. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 6048–6057). https://doi.org/10.1109/WACV56688.2023.00599 ( reposiTUm)

Ahn, H., Mascaro, E. V., & Lee, D. (2023). Can We Use Diffusion Probabilistic Models for 3D Motion Prediction? In ICRA 2023 : conference proceedings : 29th May-2nd June 2023, ExCeL London : IEEE International Conference on Robotics and Automation / IEEE Robotics & Automation Society, IEEE (pp. 9837–9843). https://doi.org/10.1109/ICRA48891.2023.10160722 ( reposiTUm)

Mascaro, E. V., Shuo Ma, Ahn Hyemin, & Lee, D. (2022). Robust Human Motion Forecasting using Transformer-based Model. In 022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 10674–10680). IEEE. https://doi.org/10.1109/IROS47612.2022.9981877 ( reposiTUm)

Valls Mascaro, E., & Lee, D. (2024, October 1). Know your limits! Optimize the robot’s behavior through self-awareness [Poster Presentation]. 17th International Workshop on Human-Friendly Robotics (HFR 2024), Lugano, Switzerland. http://hdl.handle.net/20.500.12708/209813 ( reposiTUm)