Seuraa
Davis Rempe
Davis Rempe
Graduate Student in CS, Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
512021
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
482021
Contact and human dynamics from monocular video
D Rempe, LJ Guibas, A Hertzmann, B Russell, R Villegas, J Yang
European conference on computer vision, 71-87, 2020
412020
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
342020
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
322015
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
272019
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
212016
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
72017
Learning generalizable physical dynamics of 3d rigid objects
D Rempe, S Sridhar, H Wang, LJ Guibas
arXiv preprint arXiv:1901.00466, 2019
42019
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
22022
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
22020
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
22019
SpOT: Spatiotemporal Modeling for 3D Object Tracking
C Stearns, D Rempe, J Li, R Ambrus, S Zakharov, V Guizilini, Y Yang, ...
arXiv preprint arXiv:2207.05856, 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
Motion model refinement based on contact analysis and optimization
J Yang, D Rempe, B Russell, A Hertzmann
US Patent 11,238,634, 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
ION PEAK DETECTION FOR COMPREHENSIVE MULTIDIMENSIONAL CHROMATOGRAPHY
Q Tao, C Heble, S Reichenbach, DW Rempe, CEI Cordero, C Zini
40th International Symposium on Capillary Chromatography and 13th GCxGC …, 2016
2016
Alignment for Comprehensive Two-Dimensional Gas Chromatography (GCxGC) with Global, Low-Order Polynomial Transformations
D Rempe, S Reichenbach, S Scott
2016
HUMAN URINARY METABOLIC SIGNATURES BY PARALLEL DUAL SECONDARY COLUMN-DUAL DETECTION TWO-DIMENSIONAL COMPREHENSIVE GAS CHROMATOGRAPHY: RELIABLE TARGETED AND UNTARGETED …
D Bressanello, E Liberto, DW Rempe, Q Tao, SE Reichenbach, B Stefano, ...
40th International Symposium on Capillary Chromatography and 13th GCxGC …, 2016
2016
HuMoR: 3D Human Motion Model for Robust Pose Estimation Supplementary Material
D Rempe, T Birdal, A Hertzmann, J Yang, S Sridhar, LJ Guibas
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Artikkelit 1–20