Working on a new point tracking method or need a faster alternative? Check out LiteTracker — now with results on natural, non-surgical, benchmarks posted on the repository! It remains highly competitive at a fraction of the latency. 👉 github.com/ImFusionGmbH...

🧵LiteTracker is accepted to MICCAI 2025! LiteTracker is a low-latency tissue tracking method designed for real-time surgical applications.

🧵STIR Challenge returns for MICCAI 2025 We're inviting researchers to submit their point tracking methods on our challenging surgical tissue tracking benchmark. If you're working on robust and efficient point tracking, this is a great opportunity to benchmark and compete.

🤝 Shared first authorship with Nicolas Schischka @mertkaraoglu.bsky.social — huge thanks to the entire team for the incredible collaboration and hard work! #ICRA2025 #RA_L #ComputerVision #NeRF #Robotics #CameraLocalization #DynaMoN #AI #MIRMI #TUM #FAU

📢 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

Hannah Schieber@hannahhaensen.bsky.social · 2y ago

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...