| Muse-vae: multi-scale vae for environment-aware long term trajectory prediction M Lee, SS Sohn, S Moon, S Yoon, M Kapadia, V Pavlovic Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 84 | 2022 |
| Private-shared disentangled multimodal vae for learning of latent representations M Lee, V Pavlovic Proceedings of the ieee/cvf conference on computer vision and pattern …, 2021 | 58 | 2021 |
| Private-shared disentangled multimodal vae for learning of hybrid latent representations M Lee, V Pavlovic arXiv preprint arXiv:2012.13024, 2020 | 12 | 2020 |
| A2x: An agent and environment interaction benchmark for multimodal human trajectory prediction SS Sohn, M Lee, S Moon, G Qiao, M Usman, S Yoon, V Pavlovic, ... Proceedings of the 14th ACM SIGGRAPH Conference on Motion, Interaction and …, 2021 | 10 | 2021 |
| Fast adaptation of deep models for facial action unit detection using model-agnostic meta-learning M Lee, O Rudovic, V Pavlovic, M Pantic Workshop on Artificial Intelligence in Affective Computing, 9-27, 2020 | 6 | 2020 |
| A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction SS Sohn, M Lee, S Moon, G Qiao, M Usman, S Yoon, V Pavlovic, ... Computers & Graphics 106, 130-140, 2022 | 4 | 2022 |
| Harnessing fourier isovists and geodesic interaction for long-term crowd flow prediction SS Sohn, S Moon, H Zhou, M Lee, S Yoon, V Pavlovic, M Kapadia Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 2 | 2022 |
| Fast and effective adaptation of facial action unit detection deep model M Lee, O Rudovic, V Pavlovic, M Pantic arXiv preprint arXiv:1909.12158, 2019 | 2 | 2019 |
| Generative modeling through multimodal data fusion M Lee Rutgers The State University of New Jersey, School of Graduate Studies, 2023 | | 2023 |
