Guangxing Han

Research Scientist at Google DeepMind

[André Araujo @andrefaraujo]

True multimodal AI needs to understand the world spatially 🎯
🚀 Excited to release #CVPR2026 TIPSv2 from @GoogleDeepMind, a foundational image-text encoder with spatial awareness, leading to strong overall results and massive gains on patch-text alignment. 🔥
1/N

[Google DeepMind @GoogleDeepMind]

This is Gemini 3: our most intelligent model that helps you learn, build and plan anything.

It comes with state-of-the-art reasoning capabilities, world-leading multimodal understanding, and enables new agentic coding experiences. 🧵

[Guangxing Han @GuangxingHan]

Shraman is one of the best young researchers I have been working with. He has demonstrated profound skill in multimodal LLMs for visual grounding, segmentation and reasoning. Reach out to him if you need a top-tier vision-language multimodal expert!

[Shraman Pramanick @Shramanpramani2]

My role at Meta's SAM team (MSL, previously at FAIR Perception) has been impacted within 3 months of joining after PhD.

If you work with multimodal LLMs for grounding or complex reasoning, or have a long-term vision of unified understanding and generation, let's talk.

I am on the job market starting immediately.

#metalayoffs #FAIR #MSL #SAM

[Sundar Pichai @sundarpichai]

Our new Gemini 2.5 Computer Use model is now available in the Gemini API, setting a new standard on multiple benchmarks with lower latency. These are early days, but the model’s ability to interact with the web – like scrolling, filling forms + navigating dropdowns – is an important next step in building general-purpose agents.

Developers can try these capabilities via API in @googleaistudio + Vertex AI.

[Guangxing Han @GuangxingHan]

@YangsiboHuang @jasondeanlee at least better readability. Congrats!

[Demis Hassabis @demishassabis]

Thrilled to welcome @windsurf_ai founders @_mohansolo & Douglas Chen and some of the brilliant Windsurf eng team to @GoogleDeepMind. Excited to be working with them to turbocharge our Gemini efforts on coding agents, tool use and much more. Great to have you on board!

[Giorgos Kordopatis-Zilos @g_kordo]

🚨 Deadline Extension

Instance-Level Recognition and Generation (ILR+G) Workshop at ICCV2025 @ICCVConference

📅 new deadline: June 26, 2025 (23:59 AoE)
📄 paper submission: https://t.co/gTGYhrTc6Z
🌐 ILR+G website: https://t.co/Oy1vGAg5uh

#ICCV2025 #ComputerVision #AI

[Sundar Pichai @sundarpichai]

Gemini 2.5 Pro + 2.5 Flash are now stable and generally available. Plus, get a preview of Gemini 2.5 Flash-Lite, our fastest + most cost-efficient 2.5 model yet. 🔦

Exciting steps as we expand our 2.5 series of hybrid reasoning models that deliver amazing performance at the Pareto frontier of cost and speed. 🚀

[Arjun Karpur @arjunkarpur]

Excited to be presenting TIPS at this morning’s #ICLR2025 poster session! Come by poster #318 and say hi 👋

w/ @kfrancischen @andrefaraujo @kmaninis #ICLR #ICLR25

[Google DeepMind @GoogleDeepMind]

Think you know Gemini? 🤔 Think again.

Meet Gemini 2.5: our most intelligent model 💡 The first release is Pro Experimental, which is state-of-the-art across many benchmarks - meaning it can handle complex problems and give more accurate responses.

Try it now → https://t.co/sxHWaCUzRp

[André Araujo @andrefaraujo]

Multimodal AI encoders often lack spatial understanding… but not anymore! Our #ICLR2025 TIPS model (Text-Image Pretraining with Spatial awareness) from @GoogleDeepMind can help 💡🚀
Check out our strong & versatile image-text encoder 💪
Paper & code: https://t.co/LCiqV4gaQ0

[André Araujo @andrefaraujo]

Excited to release a super capable family of image-text models from our TIPS #ICLR2025 paper! https://t.co/1scX7H1DIb

We have models from ViT-S to -g, with spatial awareness, suitable to many multimodal AI applications. Can’t wait to see what the community will build with them!

[André Araujo @andrefaraujo]

Very happy to see learnings from our TIPS method (ICLR'25 accepted https://t.co/IP6JowSDcE) adopted into SigLIP2! A very nice collaboration, great outcome!

[André Araujo @andrefaraujo]

Want some TIPS? Well, then check out “Text-Image Pretraining with Spatial awareness” :)

TIPS is a general-purpose image-text encoder, for off-the-shelf dense and image-level prediction. Finally image-text pretraining with spatially-aware representations!

https://t.co/LCiqV4gaQ0

[Guangxing Han @GuangxingHan]

@liuzhuang1234 @PrincetonCS Congrats!

[Guangxing Han @GuangxingHan]

@_tim_brooks @GoogleDeepMind Congrats Google

[Guangxing Han @GuangxingHan]

@ProfTomYeh @AnthropicAI interesting work. Any link for the original paper?

[André Araujo @andrefaraujo]

Our call for papers for the ILR workshop at #ECCV2024 is open! Deadline on July25th, options for both long and short papers. Don't miss this opportunity to showcase your work in the broad area of instance-level recognition!

Submit at: https://t.co/K0amT3liUC

[Guangxing Han @GuangxingHan]

@zibuyu9 刘老师多多发推🤣

[André Araujo @andrefaraujo]

Announcing the #ECCV2024 workshop on Instance-Level Recognition (ILR)! This is the 6th edition in our workshop series, with amazing keynote speakers: @CordeliaSchmid, @jampani_varun and @g_kordo.

Call for papers now open!

All information on our website: https://t.co/y2jJrvpDAa