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Davis Rempe
Davis Rempe
Research Scientist, NVIDIA
Verified email at stanford.edu - Homepage
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Cited by
Year
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
3102021
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
2302021
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
1292022
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
1182023
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
1082020
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
762023
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
762020
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
522023
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
432015
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
362019
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
352024
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
272016
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
122024
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
122022
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
102017
Generating human interaction motions in scenes with text control
H Yi, J Thies, MJ Black, XB Peng, D Rempe
European Conference on Computer Vision, 246-263, 2025
92025
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
52020
Learning generalizable physical dynamics of 3d rigid objects
D Rempe, S Sridhar, H Wang, LJ Guibas
arXiv preprint arXiv:1901.00466, 2019
42019
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
32023
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
32019
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