Martin Kiefel
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Peter GehlerFederica BogoMichael J. BlackChristoph LassnerJavier RomeroVarun JampaniBernhard SchölkopfCarsten Rother
- Topics
- Video Surveillance and Tracking Methods (2 papers)Advanced Memory and Neural Computing (2 papers)3D Shape Modeling and Analysis (1 paper)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)Max Planck Institute for Plasma PhysicsNeural Information Processing Systems
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Martin Kiefel
8 papers receiving 594 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 516
- Computational Mechanics 205
- Computer Graphics and Computer-Aided Design 100
- Control and Systems Engineering 48
- Electrical and Electronic Engineering 47
Countries citing papers authored by Martin Kiefel
This map shows the geographic impact of Martin Kiefel'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 Martin Kiefel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kiefel more than expected).
Fields of papers citing papers by Martin Kiefel
This network shows the impact of papers produced by Martin Kiefel. 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 Martin Kiefel. The network helps show where Martin Kiefel may publish in the future.
Co-authorship network of co-authors of Martin Kiefel
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kiefel. A scholar is included among the top collaborators of Martin Kiefel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Kiefel. Martin Kiefel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Learning an event sequence embedding for event-based deep stereo | 1 |
| 2 | 60 | |
| 3 | Unite the People: Closing the Loop Between 3D and 2D Human Representationsbreakdown → | 293 |
| 4 | 98 | |
| 5 | Permutohedral Lattice CNNs | 10 |
| 6 | Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance | 57 |
| 7 | Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance | 83 |
| 8 | 3 |
About Martin Kiefel
Martin Kiefel is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 8 papers that have together received 605 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (2 papers), Advanced Memory and Neural Computing (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (100 citations), Computer Vision and Pattern Recognition (516 citations) and Computational Mechanics (205 citations). Martin Kiefel has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Peter Gehler, Federica Bogo, Michael J. Black, Christoph Lassner, Javier Romero, Varun Jampani, Bernhard Schölkopf, Carsten Rother, Lumin Zhang and Stepan Tulyakov. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Max Planck Institute for Plasma Physics and Neural Information Processing Systems.
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.