Davis Rempe
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
Papers in
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- Human Pose and Action Recognition 10
- Advanced Vision and Imaging 4
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- Human Motion and Animation 6
- Traffic control and management 2
- Co-authors
- Leonidas Guibas (11 shared papers)Or Litany (3 shared papers)Sanja Fidler (2 shared papers)Jonah Philion (1 shared paper)Aaron Hertzmann (2 shared papers)Bryan Russell (1 shared paper)Ruben Villegas (1 shared paper)Xue Bin Peng (2 shared papers)
- Journals
- Lecture notes in computer science (4 papers)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Davis Rempe
16 papers receiving 410 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 126
- Computer Vision and Pattern Recognition 220
- Control and Systems Engineering 179
- Computer Graphics and Computer-Aided Design 17
- Software 13
Countries citing papers authored by Davis Rempe
This map shows the geographic impact of Davis Rempe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Davis Rempe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davis Rempe more than expected).
Fields of papers citing papers by Davis Rempe
This network shows the impact of papers produced by Davis Rempe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Davis Rempe. The network helps show where Davis Rempe may publish in the future.
Co-authors
The 25 scholars most cited alongside Davis Rempe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2023 | 80 | |
| 3 | 2020 | 77 | |
| 4 | 2023 | 67 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 22 | |
| 7 | 2024 | 12 | |
| 8 | Multiview Aggregation for Learning Category-Specific Shape Reconstruction | 2019 | 11 |
| 9 | 2022 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2024 | 3 | |
| 15 | Learning Generalizable Final-State Dynamics of 3D Rigid Objects | 2019 | 2 |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Davis Rempe
Davis Rempe is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Automotive Engineering and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 421 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), 3D Shape Modeling and Analysis (7 papers), Human Motion and Animation (6 papers), Advanced Vision and Imaging (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Automotive Engineering (126 citations), Computer Vision and Pattern Recognition (220 citations), Control and Systems Engineering (179 citations), Computer Graphics and Computer-Aided Design (17 citations) and Software (13 citations). Davis Rempe has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Leonidas Guibas, Or Litany, Sanja Fidler, Jonah Philion, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Xue Bin Peng, Sushant Veer and Yuxiao Chen. Their work appears in journals such as Lecture notes in computer science, arXiv (Cornell University), Neural Information Processing Systems, Repository for Publications and Research Data (ETH Zurich) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.