| A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries A Kashefi, D Rempe, LJ Guibas Physics of Fluids 33 (2), 027104, 2021 | 122 | 2021 |
| Humor: 3d human motion model for robust pose estimation D Rempe, T Birdal, A Hertzmann, J Yang, S Sridhar, LJ Guibas Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 116 | 2021 |
| Contact and human dynamics from monocular video D Rempe, LJ Guibas, A Hertzmann, B Russell, R Villegas, J Yang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 56 | 2020 |
| Caspr: Learning canonical spatiotemporal point cloud representations D Rempe, T Birdal, Y Zhao, Z Gojcic, S Sridhar, LJ Guibas Advances in neural information processing systems 33, 13688-13701, 2020 | 52 | 2020 |
| Alignment for comprehensive two-dimensional gas chromatography with dual secondary columns and detectors SE Reichenbach, DW Rempe, Q Tao, D Bressanello, E Liberto, C Bicchi, ... Analytical chemistry 87 (19), 10056-10063, 2015 | 37 | 2015 |
| Multiview aggregation for learning category-specific shape reconstruction S Sridhar, D Rempe, J Valentin, B Sofien, LJ Guibas Advances in Neural Information Processing Systems 32, 2019 | 32 | 2019 |
| Generating useful accident-prone driving scenarios via a learned traffic prior D Rempe, J Philion, LJ Guibas, S Fidler, O Litany Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
| Effectiveness of global, low-degree polynomial transformations for GCxGC data alignment DW Rempe, SE Reichenbach, Q Tao, C Cordero, WE Rathbun, CA Zini Analytical chemistry 88 (20), 10028-10035, 2016 | 23 | 2016 |
| Guided Conditional Diffusion for Controllable Traffic Simulation Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone arXiv preprint arXiv:2210.17366, 2022 | 8 | 2022 |
| A cognitive radio TV prototype for effective TV spectrum sharing D Rempe, M Snyder, A Pracht, A Schwarz, T Nguyen, M Vostrez, Z Zhao, ... 2017 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2017 | 8 | 2017 |
| Predicting the physical dynamics of unseen 3d objects D Rempe, S Sridhar, H Wang, L Guibas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 4 | 2020 |
| Learning generalizable physical dynamics of 3d rigid objects D Rempe, S Sridhar, H Wang, LJ Guibas arXiv preprint arXiv:1901.00466, 2019 | 4 | 2019 |
| SpOT: Spatiotemporal Modeling for 3D Object Tracking C Stearns, D Rempe, J Li, R Ambruş, S Zakharov, V Guizilini, Y Yang, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| Motion model refinement based on contact analysis and optimization J Yang, D Rempe, B Russell, A Hertzmann US Patent 11,238,634, 2022 | 2 | 2022 |
| Learning generalizable final-state dynamics of 3D rigid objects D Rempe, S Sridhar, H Wang, L Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 2 | 2019 |
| CurveCloudNet: Processing Point Clouds with 1D Structure C Stearns, J Liu, D Rempe, D Paschalidou, JJ Park, S Mascha, LJ Guibas arXiv preprint arXiv:2303.12050, 2023 | | 2023 |
| Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion D Rempe, Z Luo, X Bin Peng, Y Yuan, K Kitani, K Kreis, S Fidler, O Litany Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos B Pan, B Shen, D Rempe, D Paschalidou, K Mo, Y Yang, LJ Guibas arXiv preprint arXiv:2210.01781, 2022 | | 2022 |
| Motion model refinement based on contact analysis and optimization J Yang, D Rempe, B Russell, A Hertzmann US Patent App. 17/573,890, 2022 | | 2022 |
| A Deep Learning Framework for Computational Fluid Dynamics on Irregular Geometries A Kashefi, D Rempe, L Guibas APS Division of Fluid Dynamics Meeting Abstracts, R01. 036, 2020 | | 2020 |
