Subhashree Radhakrishnan @subhashree_r
Engineering Manager, Metropolis Foundational Models Applied Research @nvidia linkedin.com/in/subhashree-… Santa Clara, CA Joined April 2017-
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@CVPR is around the corner!! Join us at the Workshop on T4V at #CVPR2025 with a great speaker lineup (@MikeShou1, @jw2yang4ai, @WenhuChen, @roeiherzig, Yuheng Li, Kristen Grauman) covering diverse topics! Website: sites.google.com/view/t4v-cvpr2… #CVPR #Transformer #Vision #T4V2025 #T4V
We are accepting research proposals to accelerate Robotics + AI through the NVIDIA Academic Grant Program. Our Edge AI call is seeking projects on GPU simulations, learning-based control, and foundation models for humanoid robotics. Apply by March 31: nvda.ws/3ZNxzuW
🌟 How can we unify image and video region understanding into a single framework? 🚀 Introducing Omni-RGPT — our latest multimodal LLM designed for interactive, region-level understanding across images and videos! 📽️🖼️
Excited to introduce Fish Speech 1.4 - now open-source and more powerful than ever! 🎉 Our mission is to make cutting-edge voice tech accessible to everyone. What's new: - Trained on 700k hours of multilingual data (up from 200k) - Now supports 8 languages: English, Chinese,…
Excited to share our latest work: Eagle - Exploring The Design Space for Multimodal LLMs with Mixture of Encoders, a Vision Centric High-Resolution VLM. Eagle supports over 1K input resolution, achieves SOTA in VQA and resolution-sensitive MLLM tasks.
Excited to share our latest work: Eagle - Exploring The Design Space for Multimodal LLMs with Mixture of Encoders, a Vision Centric High-Resolution VLM. Eagle supports over 1K input resolution, achieves SOTA in VQA and resolution-sensitive MLLM tasks.
Thank you AK! @_akhaliq This is just a beginning of a long journey, as we focused more on the model design space with multi-encoders, and fair comparisons under controlled settings. More will come in future versions! 🧵[1/n] Try our model & demo: GitHub:…
Thank you AK! @_akhaliq This is just a beginning of a long journey, as we focused more on the model design space with multi-encoders, and fair comparisons under controlled settings. More will come in future versions! 🧵[1/n] Try our model & demo: GitHub:… https://t.co/oc4SVTbSva
🤔 Want to experience LITA's incredible temporal capabilities? 🚀 Check out the Gradio demo available on their GitHub repo and explore the future of multimodal LLMs 🔗github.com/NVlabs/LITA 💡Build your own video understanding Apps with Gradio today Gradio.dev
Join our webinar, Transform Your Vision AI Applications with Gen AI, on November 2. Learn how #NVIDIAMetropolis leads the way in integrating #generativeAI, #visiontransformers, #LLMs, and multi-modal models into your vision AI applications. nvda.ws/49enGbZ
(1/N) Interested in ~600 #Vision #Transformer-related papers @CVPR this year? (twice more than last year) Check out this paper list (including papers, codes, websites, etc.) to avoid missing any! github.com/cmhungsteve/Aw… Feel free to share with others😀 #cvpr2023 #cvpr #cvpr23
Want to know the latest development of Transformers and their applications? Join our workshop to be organized at #CVPR2023! Workshop paper submission deadline: April 15th
Want to know the latest development of Transformers and their applications? Join our workshop to be organized at #CVPR2023! Workshop paper submission deadline: April 15th
The next version of #NVIDIATAO Toolkit enables developers full control and easy customization to accelerate #AI model development. Be the first to know at #GTC23 > nvda.ws/3kbjhSo
#GTC22 is just a few weeks away! Join our technical sessions with easy-to-follow demos on how to create and deploy #VisionAI models and applications. Register for free > nvda.ws/3QloSAp
DiscoBox was recently highlighted in Jensen's #GTC22 keynote. We are using it as a powerful auto-labeling tool for many #AI applications at NVIDIA, such as autonomous driving. @NVIDIAAI @NVIDIAAIDev Check more here👇 bit.ly/3JDcxUB
Ryan-Rhys Griffiths @Ryan__Rhys
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ML_Stocks🇺🇸 @Ekawefe3569
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Yandan Yang @yandan_yan32100
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Damiano Marsili @marsilidamiano
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Chuong Huynh @RyanHuynh1108
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Sonny George @ CVPR 2... @s_george_iv
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Vishal Thengane ( व... @vgthengane
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Tian Yun @tianyunnn
295 Followers 508 Following NLP & Multimodal Learning & Interpretability | CS PhD student @BrownUniversity, now interning @Meta | Ex-Intern @Google
Jiahui Liu @JiahuiLiu_
236 Followers 535 Following PhD candidate, researching in 2D/3D Open-World Learning and Multimodal Large Language Models at CVMI Lab @HKUniversity | ⚽️🍜🎹
Snehal S. Tomar @snehalstomar
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xy-C @xiaoyan_cong
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Yunfei Xie @xiynfi1520580
68 Followers 351 Following Ph.D. student at @RiceCompSci | Prev: Undergrad @2024_HUST
Shane Gu @shaneguML
42K Followers 2K Following Gemini Thinking, Gibberish detective, Senior Staff RS @GoogleDeepMind. 🇯🇵-born 🇨🇳🇨🇦. ex: Gemini Multilingual Posttrain Lead, GPT-4 @OpenAI (JP: @shanegJP)
Ryan-Rhys Griffiths @Ryan__Rhys
5K Followers 4K Following Research Scientist | ex-@Meta | ex-@Mila_Quebec | ex-@Huawei | PhD @Cambridge_Uni | LLMs | AI4Science | Bayesian Optimization | Chess FIDE Master
Christian Richardt @c_richardt
2K Followers 658 Following Research Scientist at @RealityLabs. Working on novel-view synthesis etc. Previously @UniofBath, #IVCI @Saar_Uni, #MPI_Informatik, @Inria, @Cambridge_Uni.
Kwang Moo Yi @kwangmoo_yi
4K Followers 226 Following Assistant Professor of Computer Science at the University of British Columbia. I also post my daily finds on arxiv.
LlamaIndex 🦙 @llama_index
102K Followers 28 Following Build AI agents over your documents Github: https://t.co/HC19j7veGE Docs: https://t.co/QInqg2yMCJ LlamaCloud: https://t.co/yQGTiRSfFL
Danfei Xu @danfei_xu
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2K Followers 275 Following Assistant Professor at UT Austin @UTCompSci | Working on Computer Vision and Machine Learning
Karthik Narasimhan @karthik_r_n
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Ludwig Schmidt @lschmidt3
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Reflex Robotics @ReflexRobot
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