| Laying the foundations of deep long-term crowd flow prediction SS Sohn, H Zhou, S Moon, S Yoon, V Pavlovic, M Kapadia Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 22 | 2020 |
| 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 | 20 | 2022 |
| Deep integration of physical humanoid control and crowd navigation B Haworth, G Berseth, S Moon, P Faloutsos, M Kapadia Proceedings of the 13th ACM SIGGRAPH Conference on Motion, Interaction and …, 2020 | 20 | 2020 |
| JOIN: an integrated platform for joint simulation of occupant-building interactions D Schaumann, S Moon, M Usman, R Goldstein, S Breslav, A Khan, ... Architectural Science Review 63 (3-4), 339-350, 2020 | 13 | 2020 |
| Toward a multi-level and multi-paradigm platform for building occupant simulation D Schaumann, S Moon, M Usman, R Goldstein, S Breslav, A Khan, ... Symposium on Simulation for Architecture and Urban Design, 169-176, 2019 | 11 | 2019 |
| A point projection approach for improving the accuracy of the multilevel B-spline approximation S Moon, K Ko Journal of Computational Design and Engineering 5 (2), 173-179, 2018 | 9 | 2018 |
| 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 | 7 | 2021 |
| Deep crowd-flow prediction in built environments SS Sohn, S Moon, H Zhou, S Yoon, V Pavlovic, M Kapadia arXiv preprint arXiv:1910.05810, 2019 | 6 | 2019 |
| HM: Hybrid Masking for Few-Shot Segmentation S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic, MH Khan, M Kapadia European Conference on Computer Vision, 506-523, 2022 | 4 | 2022 |
| Multi-agent hierarchical reinforcement learning for humanoid navigation G Berseth, S Moon, M Kapadia, P Faloutsos | 3 | 2019 |
| Msi: Maximize support-set information for few-shot segmentation S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic, MH Khan, M Kapadia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research M Usman, H Zhou, S Moon, X Zhang, P Faloutsos, M Kapadia IEEE computer graphics and applications 43 (1), 39-52, 2022 | 2 | 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 |
| The role of latent representations for design space exploration of floorplans V Azizi, M Usman, SS Sohn, M Schwartz, S Moon, P Faloutsos, ... Simulation 99 (11), 1167-1179, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Dynamic correction of image distortions for a kinect-projector system J Park, S Moon, K Ko Václav Skala-UNION Agency, 2018 | 1 | 2018 |
| Learning from Synthetic Human Group Activities CJ Chang, H Zhou, P Goel, A Bhat, S Moon, SS Sohn, S Yoon, V Pavlovic, ... arXiv preprint arXiv:2306.16772, 2023 | | 2023 |
| An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction G Qiao, K Hu, S Moon, SS Sohn, S Yoon, M Kapadia, V Pavlovic arXiv preprint arXiv:2211.00817, 2022 | | 2022 |
| Adaptive method for 2.5 D scattered point approximation SH Moon, JH Park, KH Ko Proceedings of the 23rd ACM Symposium on Virtual Reality Software and …, 2017 | | 2017 |
| Parameterization of unorganized cylindrical point clouds for least squares B-spline surface fitting S Moon, JE Park, K Ko Václav Skala-UNION Agency, 2017 | | 2017 |
Mubbasir KapadiaRutgers University, Computer Science DepartmentZweryfikowany adres z rutgers.edu
