"I'm looking for a postdoc" "3D Computer Vision" 🎤🫳 #ECCV2026 And yes, I really am looking for a postdoc @csprofkgd.bsky.social please spread the world
Maximilian Weiherer
@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
Introducing Vecchia Kernel Surface Reconstruction (VKSR), an implicit surface reconstruction method that efficiently scales kernel surface reconstruction to dense and large-scale point clouds with millions of points. I'm presenting VKSR at #ECCV2026 in Malmö now at poster #190!
🚀 Excited to share that our paper "Towards Integrating Multi-Spectral Imaging with Gaussian Splatting" was accepted at VMV 2025! 🎉 🔗 Project: meyerls.github.io/towards_mult... 📄 Paper: arxiv.org/pdf/2509.00989 💻 Code: github.com/j-gruen/MS-S... #VMV25 #GaussianSplatting #NeRF #Multispectral
I still remember the moment you first had this idea—during lunch at York University about 1.5 years ago. These guys have been working on this for more than ONE YEAR!!! This is insane, and way beyond a normal Sigbovik paper. Congrats on this huge success and an amazing paper!
Are you tired of context-switching between coding models in @pytorch.org and paper writing on @overleaf.com? Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex! neuralatex.com To appear in Sigbovik (subject to rigorous review process)
Tired of seeing your papers being rejected from @cvprconference.bsky.social ? Let's revisit our 2023 #SIGBOVIK paper: "From Zero to Hero: Convincing with Extremely Complicated Math", led by @maxweiherer.bsky.social Paper: mweiherer.github.io/zero2hero.pdf Code: github.com/mweiherer/ze... 1/4
Happy to share our latest 3D generative breast model: the *implicit* RBSM, or iRBSM for short. As opposed to its PCA-based predecessor, the iRBSM leverages implicit neural representations, yielding a highly detailed and expressive 3D breast model. Paper: arxiv.org/abs/2412.13244
I am very excited to announce our paper “DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields” has been accepted to #IEEE RA-L. Paper: ieeexplore.ieee.org/document/107... Project page: hannahhaensen.github.io/DynaMoN/ Code: github.com/HannahHaense...
The coffee machine in our lab broke, and won’t be fixed by the end of January 2025. This is just so unfair. I’ll better stay at home for the next two months.
Excited to share our paper which will be presented at #3DV2025 ✨ Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View ✨ 🌐 Project page: andreeadogaru.github.io/Gen3DSR 📄 Paper: arxiv.org/abs/2404.03421 👩💻 Code: github.com/AndreeaDogar... (1/5)