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Philipp Krähenbühl
Deep Learning
Image Segmentation
Image Understanding
Computer Vision
About
Philipp Krähenbühl received his Ph.D. in Computer Science from Stanford University and then spent two years as a Postdoc at UC Berkeley. His research interests lie in Computer Vision, Machine learning and Computer Graphics. He is particularly interested in deep learning, as well as image segmentation and understanding.
Research Performance Summary
2008-2025
Active Research Span
First Recorded Paper
SWPS3–fast multi-threaded vectorized Smith-Waterman for IBM Cell/BE and× 86/SSE2
Year:
2008
Citations:
157
Venue:
BMC research notes 1 (1)
Latest Recorded Paper
Long-term traffic simulation with interleaved autoregressive motion and scenario generation
Year:
2025
Citations:
0
Venue:
Proceedings of the IEEE/CVF International Conference on Computer Vision
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Krähenbühl
Zhou
Koltun
Research Impact by Period
Papers
10
Citations
161
Avg. Citations / Paper
16.1
H-Index
5
Papers
32
Citations
8969
Avg. Citations / Paper
280.3
H-Index
25
Papers
27
Citations
26268
Avg. Citations / Paper
972.9
H-Index
25
Papers
7
Citations
8379
Avg. Citations / Paper
1197
H-Index
7
Papers
2
Citations
470
Avg. Citations / Paper
235
H-Index
2
Contact and Professional Links
Detected Research Keywords
Convolutional Neural Networks
Retargeting Streaming Video
Learning Video Representations