Second day at #automatica showcasing our KARVIMIO project

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...

I’ll be soon hiring new PhD students and a PostDoc in Aarhus —if you're interested in XR, perception, and visual computing please get in touch! I’m also at #chi2025 until the end of the week. #academia #phd #jopopening #denmark #XR #AR

Thank you ☺️

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

Congrats to Daniela et al.! Super happy that one of my drawings made it to the title page of the journal! And even more happy for Daniela and here co authors on their new research :) #FAU #drawing

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

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)

🚨 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...

Being at IEEE AIxVR was a pleasure. More information about our paper "MR-Sense: A Mixed Reality Environment Search Assistant for Blind and Visually Impaired People" can be found at hannahhaensen.github.io/mr-sense/ Many thanks to my co-authors and to the participants of the user study. #aixvr

We had a blast! Over 250 CVPR papers touched with 50 (partially) reproduced! 4 days of hacking, scientific exchange and new friendships. #reproduceCVPR #FAUhack With @kbreininger.bsky.social and @ankixyz.bsky.social Enabled by our sponsor e.solutions GmbH and Schaeffler

Benjamin Cappell currently showcases our work "ReWaRD - Retinal Waves for Pre-Training Artificial Neural Networks mimicking Real Prenatal Development" at the UniReps Workshop at NeurIPS @cogcovi.bsky.social @unifau.bsky.social github.com/BennyCa/ReWaRD