Hartwig Adam
Hartwig Adam is a Google researcher whose work covers efficient vision models for mobile devices and image segmentation. He is a senior director of research at Google DeepMind. Before joining Google in 2006, he worked at the University of Southern California's vision laboratory and at Eyematic Interfaces and Neven Vision. At Google he co-authored MobileNets in 2017 and two DeepLab segmentation papers in 2017 and 2018. He also co-authored VideoPoet, a language model for zero-shot video generation that received a Best Paper award at ICML 2024.
- Now at
- Google DeepMind
- Works
- 76
- Citations
- 57,308
- h-index
- 35
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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1998–1999
Vision research at USC
He works as a research scientist in the Laboratory for Biological and Computational Vision at the University of Southern California in 1998.
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1999–2006
Engineering at Eyematic and Neven Vision
He joins Eyematic Interfaces as a senior software engineer in 1999 and becomes vice president of platform technology at Neven Vision in 2004.
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2006–2024
Engineering director at Google
He joins Google as an engineering director in 2006, where he leads a group that develops computer vision and machine perception systems for mobile devices.
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2017
MobileNets for mobile vision
He helps build MobileNets, a class of efficient models for mobile and embedded vision, which Google publishes in 2017.
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2017–2018
DeepLab segmentation papers
He co-authors Rethinking Atrous Convolution for Semantic Image Segmentation in 2017 and Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation in 2018.
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December 2023
Co-authoring VideoPoet
He co-authors VideoPoet, a large language model for zero-shot video generation, which appears on arXiv in December 2023.
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2024
A Best Paper at ICML
VideoPoet, which he co-authored, wins a Best Paper award at ICML 2024.
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Since 2024
Senior director at DeepMind
He is a senior director of research at Google DeepMind, working across computer vision, machine learning, and machine perception.
Sources and credits
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- Hartwig Adam | alphaXiv
- MobileNets: Open-Source Models for Efficient On-Device Vision
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Rethinking Atrous Convolution for Semantic Image Segmentation
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- VideoPoet: A Large Language Model for Zero-Shot Video Generation
- Hartwig Adam
- Award-winning paper in ICML 2024 on “VideoPoet: A large language model for zero-shot video generation.” | Irfan Essa
- ICML Oral VideoPoet: A Large Language Model for Zero-Shot Video Generation