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Search public expertise, recent signals and peer connections—not follower popularity alone.
Showing 49–64 of 64. Trust means peer connections inside the directory; expertise labels come from public profile evidence.
Why they matter 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 they matter 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 they matter Researcher with public evidence across AI research and Models & releases.
Research Scientist @GoogleDeepMind. Representation learning for multimodal understanding and generation. mitscha.github.io
Why they matter 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 they matter Researcher with public evidence across AI research and Vision & synthetic media.
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
Why they matter Researcher with public evidence across Vision & synthetic media and AI research.
research on computer vision, teaching, and movies. tweets in TR, EN
Why they matter Researcher with public evidence across AI research and Models & releases.
Multimodal Multi-lingual research at Google DeepMind for Gemini post-training. #NLProc #Multimodal
Why they matter 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 they matter 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 they matter 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 they matter Researcher with public evidence across AI research and Vision & synthetic media.
Research Scientist @ Google DeepMind | 3D Computer Vision & Machine Learning
Why they matter 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 they matter Researcher with public evidence across AI research and Vision & synthetic media.
Multimodal research @huggingface
Why they matter 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 they matter 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 they matter Practitioner with public evidence across Vision & synthetic media and AI research.
Data Scientist | Computer Vision Engineer | AI Educator | Hugging Face Fellow 🤗 // johko.github.io //