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We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Our researchers drive advancements in computer science through both fundamental and applied research.
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We regularly open-source projects with the broader research community and apply our developments to Google products.
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Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Supporting the next generation of researchers through a wide range of programming.
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Blog

Mikhail Sirotenko

Mikhail Sirotenko

Mikhail is a Staff Software Engineer and Technical Lead Manager at Google Research where he leads a team working on computer vision and deep learning problems.

Research Areas

Authored Publications

Google

Neptune: The Long Orbit to Benchmarking Long Video Understanding

Arsha Nagrani

Mingda Zhang

Ramin Mehran

Rachel Hornung

Nitesh Bharadwaj Gundavarapu

Nilpa Jha

Austin Myers

Xingyi Zhou

Boqing Gong

Cordelia Schmid

Mikhail Sirotenko

Yukun Zhu

Tobias Weyand

ArXiv (2024)

VideoPoet: A Large Language Model for Zero-Shot Video Generation

Dan Kondratyuk

Lijun Yu

Xiuye Gu

José Lezama

Jonathan Huang

Grant Schindler

Rachel Hornung

Vighnesh Birodkar

Jimmy Yan

Ming-Chang Chiu

Krishna Somandepalli

Hassan Akbari

Yair Alon

Yong Cheng

Josh Dillon

Agrim Gupta

Meera Hahn

Anja Hauth

David Hendon

Alonso Martinez

David Minnen

Mikhail Sirotenko

Kihyuk Sohn

Xuan Yang

Hartwig Adam

Ming-Hsuan Yang

Irfan Essa

Huisheng Wang

David Ross

Bryan Seybold

Lu Jiang

ICML (2024)

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

Bharath Hariharan

Claire Cardie

Hartwig Adam

Menglin Jia

Mengyun Shi

Mikhail Sirotenko

Serge Belongie

Yin Cui

(2020)

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