Long Zhao

Member of Technical Staff at xAI; ex-Google DeepMind

[Xuhui Jia @jia_xuhui]

Made by Grok Imagine, this is movie-trailer quality.

Multimodal is for entire humanity, this is how humans perceive the world, connect with one another, and communicate ideas. Grok Imagine is built for that reality: not just to create stunning visuals, but to make imagination truly useful for everyone. It won’t be long before multimodal becomes truly indispensable.

[Long Zhao @garyzhao9012]

@archanfel_anoth 🐐🫡🫡

[Long Zhao @garyzhao9012]

@JackCaiXun It's so sad to see you leave. Wish you all the best, Jack!

[Xuhui Jia @jia_xuhui]

We’re hiring experts in multimodal data crawling. please reach out if this fits your expertise.

[Xuhui Jia @jia_xuhui]

Nano Banana has truly redefined what's possible with image generation models, pushing the boundaries of people's imagination when it debuted
Today, we're excited to introduce Grok-Imagine-Image: a new model that's both faster and better than Nano Banana.
Through this journey, we've built many of the essential building blocks needed to unlock the next generation of models and to keep fueling the growth and prosperity of the visual AI community.
Stay tuned... something incredible is coming very soon! But today, hello world, grok-imagine-image!

[Google Research @GoogleResearch]

At 4:00 today, stop by the #CVPR2025 Google booth where Ting Liu will demo a model for video creation by demonstration that can generate physically plausible video that continues naturally given a context scene. Find sample videos at https://t.co/VmfjfuxDgR

[Long Zhao @garyzhao9012]

We are delighted to share our latest work: Video Creation by Demonstration (https://t.co/7TQOWA9tND)! See our intereseting results here: https://t.co/vjLBnwmYbF

[Ting Liu @_tingliu]

Introducing our latest work Video Creation by Demonstration, a novel video creation experience.

Paper: https://t.co/YZFCLKj5aM
Project: https://t.co/o9inp7qScE
Huggingface: https://t.co/Lg5h7kvr70

[Long Zhao @garyzhao9012]

Happy to share our recent work "Epsilon-VAE", an effective autoencoder that turns single-step decoding into a multi-step probabilistic process. Please check our paper for more detailed results!

arXiv page: https://t.co/TcZf6FzyX6

[Long Zhao @garyzhao9012]

Super excited to be featured by Google AI! We are also happy to share that our VideoPrism paper has been accpted by ICML 2024. Looking forward to meeting you guys in Vienna!

Paper: https://t.co/to6je51VsR
Blog: https://t.co/fOgROlqN4b

[Google AI @GoogleAI]

Introducing Long Zhao, a Senior Research Scientist at Google, who worked to build VideoPrism: A Foundational Visual Encoder for Video Understanding.

Read the blog to explore innovations in video understanding tasks and more →https://t.co/MnfeIMAohS

[Long Zhao @garyzhao9012]

Our team will present our paper "Unified Visual Relationship Detection with Vision and Language Models" (https://t.co/Vtqy2I3PLi) at #ICCV2023 in Paris next week.

Please join our poster session on Wednesday (Oct. 4th, 2023) 02:30 PM-04:30 PM to learn more!

[Honglu Zhou @zhou_honglu]

📢 Our #SMART101 challenge is now open! 🎉 Join the brightest minds in multimodal reasoning and cognitive models of intelligence to drive AI progress. 🚀 Don't miss out! Challenge closes on Sept. 1. Winning teams will receive prizes! 🏆 https://t.co/asTC5oscJh
#VLAR #ICCV2023 #AI

[Google AI @GoogleAI]

The Visual Transformer has helped advance many core computer vision applications, e.g., image classification, but training can be inefficient and models lack interpretable designs. Learn how the Nested Hierarchical Transformer addresses these challenges → https://t.co/JGYUJzW7BL

[Long Zhao @garyzhao9012]

@MarriottRewards 1 #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards 1992 #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards 14 #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards @NFL 1951 #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards 1999 #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards 15 yard line #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards @NFL 160 feet #RewardsPoints

[Long Zhao @garyzhao9012]

@MarriottRewards @NFL 16 #RewardsPoints