Davis Rempe

According to our database, Davis Rempe authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generating Human Interaction Motions in Scenes with Text Control.

Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe

Proceedings of the Computer Vision - ECCV 2024, 2024

COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation.

Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal

Proceedings of the Computer Vision - ECCV 2024, 2024

CurveCloudNet: Processing Point Clouds with 1D Structure.

Colton Stearns, Alex Fu, Jiateng Liu, Jeong Joon Park, Davis Rempe, Despoina Paschalidou, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.

Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis.

Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CurveCloudNet: Processing Point Clouds with 1D Structure.

Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas

CoRR, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.

Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos.

Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.

Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray

Proceedings of the Conference on Robot Learning, 2023

2022

COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos.

Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas

CoRR, 2022

SpOT: Spatiotemporal Modeling for 3D Object Tracking.

Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2022, 2022

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior.

Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

HuMoR: 3D Human Motion Model for Robust Pose Estimation.

Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries.

Ali Kashefi, Davis Rempe, Leonidas J. Guibas

CoRR, 2020

Predicting the Physical Dynamics of Unseen 3D Objects.

Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Contact and Human Dynamics from Monocular Video.

Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang

Proceedings of the 19th ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2020, 2020

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations.

Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning Generalizable Physical Dynamics of 3D Rigid Objects.

Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas

CoRR, 2019

Multiview Aggregation for Learning Category-Specific Shape Reconstruction.

Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Generalizable Final-State Dynamics of 3D Rigid Objects.

Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

A cognitive radio TV prototype for effective TV spectrum sharing.

Davis Rempe, Mitchell Snyder, Andrew Pracht, Andrew Schwarz, Tri Nguyen, Mitchel Vostrez, Zhongyuan Zhao, Mehmet C. Vuran

Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017