Paul Himmler
PhD Student at FAU - Visual Computing
Web: https://paul-hi.github.io/
@mhundhausen.bsky.social
Physicist, Energiewende-supporter Youtube-Kanal: https://www.youtube.com/c/MartinHundhausen
@hornegger.bsky.social
Computer scientist, currently president of FAU Erlangen-Nürnberg.
@mharrer.bsky.social
PhD Student @ FAU Erlangen-Nürnberg, Institute for Digital Reality Point Rendering and Novel-view Synthesis reality.tf.fau.de/staff/m.harrer.html
@valentinbraeutigam.bsky.social
@maxweiherer.bsky.social
PhD student at @fau.de. Part of @cogcovi.bsky.social. I’m working at the intersection of computer vision, computer graphics, and machine learning. I like kernels. mweiherer.github.io
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app
@kapoorshreya18.bsky.social
PhD Student @ Cognitive Computer Vision Lab, FAU Erlangen-Nüremberg
@timweyrich.bsky.social
Professor at @UniFAU, and at UCL. Visual computing, inverse rendering, point-based graphics, computational fabrication, digital humanities – Digital Reality.
@linusfranke.bsky.social
PhD Student at @unifau.bsky.social. Radiance Fields and Point Rendering Webpage: lfranke.github.io
@visionbernie.bsky.social
Prof. @UniFAU. We @CogCoVi study, how humans and computers can perceive the visual world. (he/him) 0 1 0 0 0 1 1 1 1 https://eggerbernhard.ch
@hannahhaensen.bsky.social
PhD Student @FAU/@TUM | Extended Reality 🥽 | Computer Vision 🤖 | 🏳️🌈 | she/her
@andreead-a.bsky.social
PhD Candidate in 3D CV @CogCoVi.bsky.social @FAU.de Former Intern at RealityLabs, SamsungResearch andreeadogaru.github.io
@fau.de
Official account of the Friedrich-Alexander-University Erlangen-Nürnberg (FAU). We are Moving Knowledge. fau.de Impressum: https://www.fau.de/impressum/ Datenschutz: https://www.fau.de/datenschutz/
@meyels.bsky.social
Ph.D. student @FAU.de - LGDV / LIKE | Computer Vision 🤖| Digital Horticulture 🌳🍒 http://meyerls.github.io
@vwirth.bsky.social
PhD Student at FAU / LGDV / EmpkinS Computer Graphics, Computer Vision, Machine Learning Webpage: https://vwirth.github.io/