| 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 | 288 | 2021 |
| 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), 2021 | 208 | 2021 |
| 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 | 114 | 2022 |
| Contact and human dynamics from monocular video D Rempe, LJ Guibas, A Hertzmann, B Russell, R Villegas, J Yang Computer VisionECCV 2020: 16th European Conference, Glasgow, UK, August 23
, 2020 | 103 | 2020 |
| Guided conditional diffusion for controllable traffic simulation Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone 2023 IEEE International Conference on Robotics and Automation (ICRA), 3560-3566, 2023 | 98 | 2023 |
| 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 | 75 | 2020 |
| 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 | 65 | 2023 |
| 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 | 43 | 2015 |
| Language-guided traffic simulation via scene-level diffusion Z Zhong, D Rempe, Y Chen, B Ivanovic, Y Cao, D Xu, M Pavone, B Ray Conference on Robot Learning, 144-177, 2023 | 41 | 2023 |
| 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 | 36 | 2019 |
| Nifty: Neural object interaction fields for guided human motion synthesis N Kulkarni, D Rempe, K Genova, A Kundu, J Johnson, D Fouhey, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2024 | 28 | 2024 |
| 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 | 26 | 2016 |
| Spot: Spatiotemporal modeling for 3d object tracking C Stearns, D Rempe, J Li, R Ambruş, S Zakharov, V Guizilini, Y Yang, ... European Conference on Computer Vision, 639-656, 2022 | 12 | 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 | 10 | 2017 |
| Generating Human Interaction Motions in Scenes with Text Control H Yi, J Thies, MJ Black, XB Peng, D Rempe arXiv preprint arXiv:2404.10685, 2024 | 7 | 2024 |
| Multi-track timeline control for text-driven 3d human motion generation M Petrovich, O Litany, U Iqbal, MJ Black, G Varol, X Bin Peng, D Rempe Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2024 | 7 | 2024 |
| 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 | 5 | 2020 |
| Motion model refinement based on contact analysis and optimization J Yang, D Rempe, B Russell, A Hertzmann US Patent 11,238,634, 2022 | 4 | 2022 |
| Learning generalizable physical dynamics of 3d rigid objects D Rempe, S Sridhar, H Wang, LJ Guibas arXiv preprint arXiv:1901.00466, 2019 | 4 | 2019 |
| COPILOT: Human-environment collision prediction and localization from egocentric videos B Pan, B Shen, D Rempe, D Paschalidou, K Mo, Y Yang, LJ Guibas Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2023 | 3 | 2023 |
