Anja Hauth
Anja Hauth is affiliated with Google DeepMind, where her research covers video generation and video reasoning. She co-authored an ECCV 2022 paper, Learning Audio-Video Modalities from Image Captions. In 2023 she was data co-lead on the Gemini report, a paper on multimodal models. VideoPoet, a large language model for zero-shot video generation that she co-authored, won the ICML 2024 Best Paper Award. In 2025 she co-authored MINERVA: Evaluating Complex Video Reasoning, published at ICCV 2025.
Timeline
-
2022
Learning audio-video modalities
She is an author of Learning Audio-Video Modalities from Image Captions, an ECCV 2022 paper.
-
2023
Data co-lead on Gemini
She is data co-lead on the Gemini report, a 2023 paper on multimodal models.
-
December 2023
Co-authoring VideoPoet
She co-authors VideoPoet, a large language model for zero-shot video generation. Google Research publishes a blog post on the work in December 2023.
-
2024
Best Paper at ICML 2024
The VideoPoet paper wins the ICML 2024 Best Paper Award.
-
2025
MINERVA at ICCV 2025
She co-authors MINERVA: Evaluating Complex Video Reasoning, which is published at ICCV 2025.
-
Since 2025
Google DeepMind affiliation
She is affiliated with Google DeepMind on the MINERVA paper, a 2025 ICCV publication.
Sources and credits
Photo: We have no published photo of Anja Hauth yet. Send us a free-licensed photo.
- Learning Audio-Video Modalities from Image Captions | ML Anthology
- Gemini: A Family of Highly Capable Multimodal Models
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- VideoPoet: A large language model for zero-shot video generation
- [2312.14125] VideoPoet: A Large Language Model for Zero-Shot Video Generation
- ICML 2024 Awards
- Award-winning paper in ICML 2024 on “VideoPoet: A large language model for zero-shot video generation.” | Irfan Essa
- MINERVA: Evaluating Complex Video Reasoning | ML Anthology
- Minerva: Evaluating Complex Video Reasoning