Philipp Krähenbühl
- Computer Vision and Pattern Recognition top 0.2%
- Aerospace Engineering top 1%
- Artificial Intelligence top 2%
- Sensory Systems top 1%
- Media Technology top 1%
- Co-authors
- Andreas HornungXingyi ZhouTianwei YinFederico PerazziYael PritchTrevor DarrellDeepak PathakVladlen Koltun
- Topics
- Human Pose and Action Recognition (10 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Neural Network Applications (7 papers)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Philipp Krähenbühl
24 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 3.8k
- Aerospace Engineering 726
- Artificial Intelligence 722
- Sensory Systems 438
- Media Technology 345
Countries citing papers authored by Philipp Krähenbühl
This map shows the geographic impact of Philipp Krähenbühl'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 Philipp Krähenbühl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Krähenbühl more than expected).
Fields of papers citing papers by Philipp Krähenbühl
This network shows the impact of papers produced by Philipp Krähenbühl. 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 Philipp Krähenbühl. The network helps show where Philipp Krähenbühl may publish in the future.
Co-authorship network of co-authors of Philipp Krähenbühl
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Krähenbühl. A scholar is included among the top collaborators of Philipp Krähenbühl 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 Philipp Krähenbühl. Philipp Krähenbühl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 67 | |
| 5 | Cross-view Transformers for real-time Map-view Semantic Segmentationbreakdown → | 170 |
| 6 | 52 | |
| 7 | 117 | |
| 8 | 71 | |
| 9 | Center-based 3D Object Detection and Trackingbreakdown → | 1134 |
| 10 | 50 | |
| 11 | 242 | |
| 12 | Don't let your Discriminator be fooled. | 7 |
| 13 | 4 | |
| 14 | Constrained Convolutional Neural Networks for Weakly Supervised Segmentationbreakdown → | 351 |
| 15 | Saliency filters: Contrast based filtering for salient region detectionbreakdown → | 1491 |
| 16 | 91 | |
| 17 | 190 | |
| 18 | 92 | |
| 19 | 71 | |
| 20 | 2 |
About Philipp Krähenbühl
Philipp Krähenbühl is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 4.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Sensory Systems (438 citations) and Media Technology (345 citations). Philipp Krähenbühl has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Andreas Hornung, Xingyi Zhou, Tianwei Yin, Federico Perazzi, Yael Pritch, Trevor Darrell, Deepak Pathak, Vladlen Koltun, Chao-Yuan Wu and Markus Groß. Their work appears in journals such as ACM Transactions on Graphics, BMC Research Notes and IEEE Transactions on Computational Imaging.
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.