Karteek Alahari
Karteek Alahari is an Inria computer vision researcher whose work ranges from structured inference to video understanding and generative models. He completed a Ph.D. at Oxford Brookes in 2010 under Philip Torr, then moved from Inria's WILLOW team to LEAR in Grenoble in 2013. His 2010 work developed dynamic hybrid algorithms for MAP inference in discrete Markov random fields. He coauthored a memory-based video object segmentation system in 2017 and a multimodal transformer for natural-language video retrieval in 2020; Inria made him a research director in 2023. Since May 2024, he is Inria's Deputy Scientific Director for AI and a co-director of PEPR IA; he is an ELLIS Fellow, and in 2025 he coauthored Entropy Rectifying Guidance for diffusion and flow models.
- Now at
- Inria
Timeline
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2010
A computer vision PhD
He completes a Ph.D. at Oxford Brookes University in July 2010 under Philip Torr, with a thesis titled Efficient Inference and Learning for Computer Vision Labelling Problems.
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2010
Dynamic hybrid algorithms
With Pushmeet Kohli and Philip Torr, he coauthors a paper on dynamic hybrid algorithms for MAP inference in discrete Markov random fields in 2010.
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By 2013
A postdoc in WILLOW
He works as a postdoctoral fellow in Inria's WILLOW team at ENS's Department of Computer Science. In September 2013, he joins Inria's LEAR team in Grenoble as a non-permanent research scientist.
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October 2015
A permanent Inria role
He starts as a permanent researcher at Inria in October 2015.
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2017–2020
Memory for video understanding
In 2017, he coauthors a two-stream neural network for video object segmentation with an explicit memory module. In 2020, he coauthors a multimodal transformer that jointly encodes video modalities for natural-language video retrieval.
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2023
Research director at Inria
In June 2023, Inria promotes him to research director, effective in October 2023.
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2024
An ELLIS Fellowship
In December 2024, he is selected as an ELLIS Fellow.
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Since 2024
Deputy scientific director for AI
Since May 2024, he is Inria's Deputy Scientific Director for AI and a co-director of the PEPR IA research programme. In 2025, he coauthors Entropy Rectifying Guidance, which changes attention at inference time to improve image quality, diversity and prompt consistency. He is also a Fellow in ELLIS's Multimodal Learning Systems program.
Career
- Since 2013InriaPostdoctoral Fellow, Non-permanent Research Scientist
Education
- 2010Oxford Brookes UniversityPh.D.
Sources and credits
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- Karteek Alahari - Publications
- Karteek Alahari - Homepage
- Karteek Alahari - News
- Learning Video Object Segmentation with Visual Memory
- Multi-modal Transformer for Video Retrieval
- Entropy Rectifying Guidance for Diffusion and Flow Models
- Karteek Alahari | European Laboratory for Learning and Intelligent Systems
- On the importance of a national AI strategy: interview with Fabien Le Voyer and Karteek Alahari


