Why follow Researcher with public evidence across Vision & synthetic media and AI research.
Senior Research Manager at NVIDIA. Prev professor at TUM. Computer vision mostly. Views are my own.
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Showing 49–64 of 64. Trust means peer connections inside the directory; expertise labels come from public profile evidence.
Why follow Researcher with public evidence across Vision & synthetic media and AI research.
Senior Research Manager at NVIDIA. Prev professor at TUM. Computer vision mostly. Views are my own.
Why follow Researcher with public evidence across AI research and NLP & language.
NLP, CSS & Multimodality💫 Graduate Researcher @Stanford NLP | Research Affiliate @Georgia Tech | Data Scientist @Bombora 📍New York, NY 👩💻 https://j-kruk.github.io/
Why follow Researcher with public evidence across AI research and Models & releases.
Research Scientist @GoogleDeepMind. Representation learning for multimodal understanding and generation. mitscha.github.io
Why follow Researcher with public evidence across Models & releases and Vision & synthetic media.
Biomedical Computer Vision & Language Models, scads.ai / Leipzig University, also NFDI4BIOIMAGE, NEUBIAS/GloBIAS, GPUs, AI, ML 🔬🖥️🚀 views:mine
Why follow Researcher with public evidence across AI research and Vision & synthetic media.
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
Why follow Researcher with public evidence across Vision & synthetic media and AI research.
research on computer vision, teaching, and movies. tweets in TR, EN
Why follow Researcher with public evidence across AI research and Models & releases.
Multimodal Multi-lingual research at Google DeepMind for Gemini post-training. #NLProc #Multimodal
Why follow Researcher with public evidence across NLP & language and AI research.
Prof of Computational Linguistics / NLP @ Uni Potsdam, Germany. Working on embodied / multimodal / conversational AI. In a way. Also affiliated w/ DFKI Berlin (German …
Why follow Researcher with public evidence across AI research and Vision & synthetic media.
Data quality & post training magic. Data Provenance Initiative. Platypus. Prev: Founding Research Scientist (Multimodal) @ Raive. MS @ BU ECE, BS @ UCLA.
Why follow Researcher with public evidence across Vision & synthetic media and AI research.
DH Prof @URichmond. Exploring computer vision and visual culture. Ideas for the Association for Computers & the Humanities @ach.bsky.social and Computational Humanitie…
Why follow Researcher with public evidence across AI research and Vision & synthetic media.
Research Scientist @ Google DeepMind | 3D Computer Vision & Machine Learning
Why follow Researcher with public evidence across AI research and Safety & security.
🔬Research Scientist, Meta AI (FAIR). 🎓PhD from McGill University + Mila 🙇♂️I study Multimodal LLMs, Vision-Language Alignment, LLM Interpretability & I’m passionate a…
Why follow Researcher with public evidence across AI research and Vision & synthetic media.
Multimodal research @huggingface
Why follow Practitioner with public evidence across AI business and Culture, work & education.
TLM@ Google DeepMind working on multimodal AI. Previously stealth startup < Amazon < Samsung < another startup < PhD.
Why follow Unclear with public evidence across Vision & synthetic media and Compute & infrastructure.
Computer Vision and Learning research group @ LMU Munich, headed by Björn Ommer. Generative Vision (Stable Diffusion, VQGAN) & Representation Learning 🌐 https://ommer-…
Why follow Practitioner with public evidence across Vision & synthetic media and AI research.
Data Scientist | Computer Vision Engineer | AI Educator | Hugging Face Fellow 🤗 // johko.github.io //