Research Scientist @GoogleDeepmind | Prev. Postdoc @MetaAI, PhD @Inria & @GoogleAI
San Francisco
Joined March 2012
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Introducing Vision Banana🍌: an image generator that achieves SOTA on segmentation, depth prediction, and surface normal estimation 🚀
🖼️Project page: vision-banana.github.io
📜Technical report: arxiv.org/abs/2604.20329
🧵👇
Valentin Gabeur retweeted
Our Gemini Vision team @GoogleDeepMind is hiring in MTV/SF.
Join us to push the frontiers of visual perception, reasoning and generation, and contribute to Gemini, Nano Banana and Omni. Also get to do cool research such as Vision Banana 🍌: deepmind.google/research/pub….
Job posting below.
It's one of the best times to be working on Vision as the frontier is moving rapidly, come join us!
Here is a thread with some precisions regarding our evaluation of Vision Banana on the SA-Co/gold segmentation benchmark.
[1/n]
🧵👇
In this age of PR, it's common to see bombastic claims like "beating SAM3". However I take issue with this chart which is quite dishonest IMHO.
I would have expected more academic honesty from researchers I deeply respect @sainingxie, @vgabeur, @jalayrac @jon_barron.
A quick 🧵
Our classification of SAM3 as "non zero-shot" on SA-Co/gold was not only guided by 93% of the NPs being seen during SAM3 training, but also by the annotation process similarities between SA-Co/gold and SAM3 training data (e.g. image collection, mask annotation tool).
[8/n]
Image generation is becoming the universal interface for computer vision, just as text generation did for language and reasoning. Generative vision pretraining is paving the way for true Foundational Vision Models.
Huge thanks to my teammates!
@ShangbangLong, @songyoupeng, @PaulVoigtlaend1, @Kevin_SSY, Yanan, Karen, Zhicheng, Wenlei, @jon_barron, Kyle, Nithish, Sherry, Yandong, Mandy, Suhas, Yiming, Huizhong, @oliver_wang2, @sainingxie, @howardzzh, Kaiming, Tom, @jalayrac, @RSoricut
Valentin Gabeur retweeted
We’re launching Nano Banana 2, built on the latest Gemini Flash model. 🍌
It’s state-of-the-art for creating and editing images, combining Pro-level capabilities with lightning-fast speed. 🧵
Valentin Gabeur retweeted
An updated Gemini 3 Deep Think is out today:
📈 Achieves SOTA on ARC-AGI-2, MMMU-Pro, and HLE.
🥇Gold-medal level on Physics & Chemistry Olympiads.
It turns out the best way to solve hard problems is still to think about them. Read more: bit.ly/4kzBLqq
Valentin Gabeur retweeted
Introducing Agentic Vision — a new frontier AI capability in Gemini 3 Flash that converts image understanding from a static act into an agentic process.
By combining visual reasoning with code execution, one of the first tools supported by Agentic Vision, the model grounds answers in visual evidence and delivers a consistent 5-10% quality boost across most vision benchmarks. Here’s how the agentic ‘Think, Act, Observe’ loop works:
— Think: The model analyzes an image query then architects a multi-step plan
— Act: The model then generates and executes Python code to actively manipulate or analyze images
— Observe: The transformed image is appended to the model's context window, allowing it to inspect the new data before generating a final response to the initial image query
Learn more about Agentic Vision and how to access it in our blog ⬇️
blog.google/innovation-and-a…
