Research StatementI'm generally interested in 3D computer vision and machine learning, particularly in understanding dynamic and physical objects, humans, and scenes.
Recent Publications
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany, Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior, Conference on Computer Vision and Pattern Recognition (CVPR), 2022
@inproceedings{rpgfl-guapdsltp-22,
author={Rempe, Davis and Philion, Jonah and Guibas, Leonidas J. and Fidler, Sanja and Litany, Or},
title={Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior},
booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2022}
}
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas, HuMoR: 3D Human Motion Model for Robust Pose Estimation, International Conference on Computer Vision (ICCV), 2021 (Oral)
@inproceedings{rbhysg-h3hmmrpe-21,
author={Rempe, Davis and Birdal, Tolga and Hertzmann, Aaron and Yang, Jimei and Sridhar, Srinath and Guibas, Leonidas J.},
title={HuMoR: 3D Human Motion Model for Robust Pose Estimation},
booktitle={International Conference on Computer Vision (ICCV)},
year={2021}
}
Ali Kashefi, Davis Rempe, Leonidas J. Guibas, A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries, Physics of Fluids 33:2, 2021
@article{krg-pcdlfpffig-21,
author = {Kashefi, Ali and Rempe, Davis and Guibas, Leonidas J. },
title = {A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries},
journal = {Physics of Fluids},
volume = {33},
number = {2},
pages = {027104},
year = {2021},
doi = {10.1063/5.0033376},
}
Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas, CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations, Advances in Neural Information Processing Systems (NeurIPS), 2020 (Spotlight).
@inproceedings{rbzgsg-clcspcr-20,
author={Rempe, Davis and Birdal, Tolga and Zhao, Yongheng and Gojcic, Zan and Sridhar, Srinath and Guibas, Leonidas J.},
title={CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2020}
}
Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang, Contact and Human Dynamics from Monocular Video, European Conference on Computer Vision (ECCV), 2020 (Spotlight).
@inproceedings{rghrvy-chdmv-20,
author={Rempe, Davis and Guibas, Leonidas J. and Hertzmann, Aaron and Russell, Bryan and Villegas, Ruben and Yang, Jimei},
title={Contact and Human Dynamics from Monocular Video},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
year={2020}
}
Davis Rempe, Srinath Sridhar, He Wang, and Leonidas J. Guibas, Predicting the Physical Dynamics of Unseen 3D Objects, IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
@inproceedings{rswg-ptpdou3o-20,
author={Rempe, Davis and Sridhar, Srinath and Wang, He and Guibas, Leonidas J.},
title={Predicting the Physical Dynamics of Unseen 3D Objects},
journal={Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
year={2020}
}
Learning Generalizable Final-State Dynamics of 3D Rigid Objects, Davis Rempe, Srinath Sridhar, He Wang, and Leonidas J. Guibas, CVPR Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics, 2019.
@inproceedings{rswg-lgfsdo3ro-19,
title={Learning Generalizable Final-State Dynamics of 3D Rigid Objects},
author={Davis Rempe and Srinath Sridhar and He Wang and Leonidas J. Guibas}
booktitle={CVPR Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics},
year={2019}
}
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas. arXiv preprint, arXiv:1901.00466, 2019.
@misc{1901.00466,
Author = {Davis Rempe and Srinath Sridhar and He Wang and Leonidas J. Guibas},
Title = {Learning Generalizable Physical Dynamics of 3D Rigid Objects},
Year = {2019},
Eprint = {arXiv:1901.00466},
}
|
 |
|||
| Copyright 2024 Guibas Laboratory. All rights reserved. Manage Publications | ||||
