Vincent Casser
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
Papers in
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- Robotic Path Planning Algorithms 3
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Advanced Vision and Imaging 2
- Multimodal Machine Learning Applications 1
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- Remote Sensing and LiDAR Applications 2
- Co-authors
- Henrik Kretzschmar (3 shared papers)Ben Mildenhall (1 shared paper)Matthew Tancik (1 shared paper)Pratul P. Srinivasan (1 shared paper)Jonathan T. Barron (1 shared paper)Xinchen Yan (1 shared paper)Bernard Ghanem (4 shared papers)Neil Smith (4 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (2 papers)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- GermanyUnited StatesSaudi Arabia
In The Last Decade
Vincent Casser
8 papers receiving 529 citations
Vincent Casser's Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Graphics and Computer-Aided Design 183
- Computer Vision and Pattern Recognition 397
- Geology 61
- Computational Mechanics 113
- Aerospace Engineering 122
Countries citing papers authored by Vincent Casser
This map shows the geographic impact of Vincent Casser'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 Vincent Casser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Casser more than expected).
Fields of papers citing papers by Vincent Casser
This network shows the impact of papers produced by Vincent Casser. 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 Vincent Casser. The network helps show where Vincent Casser may publish in the future.
Co-authors
The 21 scholars most cited alongside Vincent Casser, 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 | Block-NeRF: Scalable Large Scene Neural View Synthesis Hit paper breakdown → | 2022 | 413 |
| 2 | 2018 | 99 | |
| 3 | Fast Mitochondria Detection for Connectomics | 2020 | 12 |
| 4 | Teaching UAVs to Race With Observational Imitation Learning | 2018 | 9 |
| 5 | Teaching UAVs to Race Using UE4Sim | 2017 | 4 |
| 6 | 2024 | 3 | |
| 7 | Teaching UAVs to Race Using Sim4CV | 2017 | 2 |
| 8 | 2022 | 2 |
About Vincent Casser
Vincent Casser is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering, Molecular Biology and Control and Systems Engineering, having authored 8 papers that have together received 544 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Robotics and Sensor-Based Localization (2 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Vision and Imaging (2 papers), Cell Image Analysis Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (183 citations), Computer Vision and Pattern Recognition (397 citations), Geology (61 citations), Computational Mechanics (113 citations) and Aerospace Engineering (122 citations). Vincent Casser has collaborated with scholars based in Germany, United States and Saudi Arabia. Frequent co-authors include Henrik Kretzschmar, Ben Mildenhall, Matthew Tancik, Pratul P. Srinivasan, Jonathan T. Barron, Xinchen Yan, Bernard Ghanem, Neil Smith, Jean Lahoud and Matthias Müller. Their work appears in journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.