Santosh Divvala
Also known as Santosh Kumar Divvala, Santosh K. Divvala
Santosh Divvala is a research scientist at the Allen Institute for Artificial Intelligence in Seattle, a role that dates from 2015. He co-wrote YOLO, a real-time object detection paper presented at CVPR 2016, and the Longuet-Higgins Prize honored that work in 2026. His doctoral studies at the Carnegie Mellon Robotics Institute ran from 2007 to 2012, and he joined the University of Washington as a postdoctoral research associate in 2014. Other work includes Learning Everything about Anything, a CVPR 2014 paper on webly supervised visual concept learning, and FigureSeer, an ECCV 2016 paper on parsing result figures in research papers.
- Works
- 33
- Citations
- 52,485
- h-index
- 15
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2007–2012
A PhD at Carnegie Mellon
From 2007 to 2012 he studies for a PhD at the Carnegie Mellon Robotics Institute, under Martial Hebert and Alexei Efros.
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2014–2015
Postdoc at the University of Washington
Postdoctoral work at the University of Washington begins in 2014, advised by Ali Farhadi and Carlos Guestrin.
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2014
Learning everything about anything
With Ali Farhadi and Carlos Guestrin, he co-writes Learning Everything about Anything, a CVPR 2014 paper on webly supervised visual concept learning.
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Since 2015
A research scientist in Seattle
He is a research scientist at the Allen Institute for Artificial Intelligence in Seattle.
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2016
The YOLO detector
The YOLO paper, which he co-wrote with Joseph Redmon, Ross Girshick and Ali Farhadi, appears at CVPR 2016 and describes a detector that processes images in real time.
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2016
FigureSeer, a figure parser
Alongside Noah Siegel, Zachary Horvitz, Roie Levin and Ali Farhadi, he co-writes FigureSeer, an ECCV 2016 paper on parsing result figures in research papers.
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2026
The Longuet-Higgins Prize
The Longuet-Higgins Prize, which recognizes CVPR papers that have made a significant impact on computer vision research, goes to YOLO in 2026, a paper he co-wrote.
Sources and credits
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