👏 Paper alert 👏 Our paper "Supercharging Thermal Gaussian Splatting with Depth Estimation" got published. Efficient and robust 3D scene representation is crucial in autonomous driving, robotics, and related fields.
Hannah Schieber
@hannahhaensen.bsky.social
PhD Student @FAU/@TUM | Extended Reality 🥽 | Computer Vision 🤖 | 🏳️🌈 | she/her
👏Paper alert IEEE RA-L Our paper "SplatXtRact: Tractable Gaussian Splatting via Open World Region-of-Interest Extraction and Refinement" got accepted @ IEEE RA-L Many thanks to my co-authors Constantin Kleinbeck Angela Schoellig Stefan Leutenegger and Daniel Roth ieeexplore.ieee.org/ielx8/708336...
This link will take you to a page that’s not on LinkedIn
lnkd.in
Paper alert: Hybrid Foveated Path Tracing with Peripheral Gaussians for Immersive Anatomy arxiv.org/pdf/2601.22026 Authors: C. Kleinbeck, L. Theelke, H. Schieber, U. Eck, R. Eisenhart-Rothe, D. Roth presented last week at #IEEEVR. Watch the paper presentation below: www.youtube.com/watch?v=3ENK...
Hybrid Foveated Path Tracing with Peripheral Gaussians for Immersive A...
YouTube video by IEEE Virtual Reality Conference
youtube.com
(1) Excited to share our new preprint (and now officially accepted paper): "MultiCam: On-the-fly Multi-Camera Pose Estimation Using Spatiotemporal Overlaps of Known Objects". Authors: Shiyu Li, Hannah Schieber, Kristoffer Waldow, Julian Kreimeier, and Daniel Roth arxiv.org/pdf/2603.228... #IEEEVR
dAIper-Hack A hackathon to turn ideas into impact - hands-on innovation event jointly organized by @fau.de and P&G - three days - modern and classical Computer Vision and AI approaches - at the Scientific Center for AI and SuperTech Apply now! daiper.tf.fau.eu (latest by February 6th)
Had a great experience presenting our work on 3D scene reconstruction from a single image with @visionbernie.bsky.social at #3DV2025 🇸🇬 andreeadogaru.github.io/Gen3DSR Reach out if you're interested in discussing our research or exploring international postdoc opportunities @fau.de
🚀 Exciting news! Our paper DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields has been accepted to IEEE RA-L and will also be presented at #ICRA2025! 🎉
Gemeinsam gegen Blutkrebs: Registrieren und Leben retten!🩸 Ab nächster Woche gibt es an der FAU Registrierungsaktionen, um sich im Rahmen von #FrankenfuerdasLeben in die Datenbank der DKMS aufnehmen zu lassen. Kommt vorbei! www.fau.de/2025/04/news...
Gemeinsam gegen den Blutkrebs
Registrierungsveranstaltungen: Die FAU lädt ein, sich im Rahmen der Aktion #FrankenFuerDasLeben in die Datenbank der DKMS aufnehmen zu lassen.
fau.de
First day of #IEEEVR 2025. starting early in the morning with the 3rd Workshop on XR Technologies for Healthcare, Wellbeing, and Medicine 2025. Presenting our review paper with a quick lighting talk and two poster session. #VR #workshop #conference
🚀 Excited to present two works at IEEE VR 2025 📄 Semantics-Controlled Gaussian Splatting for Outdoor Scene Reconstruction and Rendering in Virtual Reality Authors: Hannah Schieber, Jacob Young, @tobiaslanglotz.bsky.social , @stefaniezollmann.bsky.social, and Daniel Roth youtu.be/57QtfvArSco
SCGS @ IEEE VR 2025, Teaser
YouTube video by Research Account
youtu.be
Hannah Schieber, Jacob Young, Tobias Langlotz, Stefanie Zollmann, Daniel Roth Semantics-Controlled Gaussian Splatting for Outdoor Scene Reconstruction and Rendering in Virtual Reality https://arxiv.org/abs/2409.15959
Currently running #Gaga on our new dataset (hannahhaensen.github.io) after testing SAM-Tracking and DPT-Seg for our main paper, I now tested entityseg used in #Gaga. Consistency in outdoor scenes seems to be quite a challenge: Frame 15 and 16 in our dataset on the Lake scene using entity_seg (1/n)
We have a pretty cool and new dataset for novel view synthesis. #GaussianSplatting #NeRF. It is available at OSF and focuses on outdoor scenes. If you are doing semantic Gaussian Splatting or general Gaussian Splatting check it out (1/n). hannahhaensen.github.io/SCGS/
📢 Exciting news! Check out DynaMoN, our new paper on motion-aware, robust camera localization for dynamic neural radiance fields, now accepted to #IEEE RA-L! 🚀 Huge thanks to the team for the amazing effort! 👉 Project page: hannahhaensen.github.io/DynaMoN/ @imfusion.com #TUM #CAMP #MIRMI #FAU
DynaMoN: Motion-Aware Fast And Robust Camera Localization for Dynamic NeRF
DynaMoN: Motion-Aware Fast And Robust CameraLocalization for Dynamic NeRF
hannahhaensen.github.io
Hannah Schieber@hannahhaensen.bsky.social · 2y agoI 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...
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...
Scanning Electron Microscopes analyze invisible surfaces. However, they’re only able to take grayscale images. Manual coloring is a cumbersome process and that’s why FAU researchers are using the 3D structure to propagate one colorized view to a whole scene. Impressive! 🎨 Artwork by Micronaut.
Thanks to @visionbernie.bsky.social my first printed conference proceedings will make it into my bookshelf! Shoutout also to all #SIGBOVIK co-authors @maxweiherer.bsky.social @kapoorshreya18.bsky.social @andreead-a.bsky.social Best conference at the best date 🙂↕️
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)
Thrilled to share our work: 𝐀𝐫𝐂𝐒𝐄𝐌: Artistic Colorization of SEM Images via Gaussian Splatting Novel view synthesis of scanning electron microscopy images and Conditional colorization. 📝 arXiv: arxiv.org/abs/2410.21310 🎨Project page: ronly2460.github.io/ArCSEM (1/3)
Want to do 2 years of postdoc @cogcovi.bsky.social @unifau.bsky.social in Germany with me? Open Topic around 3D Computer Vision, Neural Rendering, Human Vision, Inverse Rendering, Statistical Shape Modelling or related
How can we learn a multi-modal neural radiance field? What’s the best way to integrate images from a second modality, other than RGB, into NeRF? Check out our new paper! Project page: mert-o.github.io/ThermalNeRF/ Paper: arxiv.org/abs/2403.11865 Dataset: zenodo.org/records/1106... 1/7
Paper Alert @ ISMAR 2024 I am happy to announce that our work “ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation” has been accepted to ISMAR 2024 in Seattle. Project Page: hex-lab.io/asdf/ #augmentedreality #computervision #yolo #yolov8 #6dobjectpose (1/n)
ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation
ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation
hex-lab.io
🚨 Paper Alert 🚨 #CVIU NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters has been accepted to #CVIU!!! Many thanks to my co-authors! Shout out to Fabian Deuser, @visionbernie.bsky.social,Norbert Oswald and Daniel Roth. (1/4)
Interested in multi-part 3D object tracking? "GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance", authored by Shiyu, myself, Niklas, @visionbernie.bsky.social , Julian, and, Daniel. GBOT is presented @IEEEVR in Mondays session USA, Fantasia Ballroom G UTC-4
I am very excited to announce that our review, “Indoor Synthetic Data Generation: A Systematic Review”, got accepted at Computer Vision and Image Understanding (CVIU). Our work is now available. hannahhaensen.github.io/Synthetic-Da...
