iiinova — where your digital self keeps evolving

Mert Karaoglu @mertkaraoglu.bsky.social · 11/11/2025

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...

010

Mert Karaoglu @mertkaraoglu.bsky.social · 12/07/2025

Key highlights: 🎞️ Frame-by-frame, low-latency tracking on commercial GPUs 🚀 >7× faster than its predecessor and >2× faster than current SOTA 🤝 Compatible with CoTracker3 weights — no retraining needed 📊 High accuracy tracking & occlusion prediction on STIR and SuPer

110

Mert Karaoglu @mertkaraoglu.bsky.social · 12/07/2025

It reframes tissue tracking as a long-term point tracking problem, extending the CoTracker3 architecture with a set of training-free, runtime optimizations — addressing the latency-accuracy tradeoff bottleneck head-on.

110

Mert Karaoglu @mertkaraoglu.bsky.social · 12/07/2025

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

151

Mert Karaoglu @mertkaraoglu.bsky.social · 09/07/2025

🔗 STIR Dataset: arxiv.org/abs/2309.16782 🔗 Baseline results on the last year's challenge: - arxiv.org/abs/2503.24306 - arxiv.org/abs/2504.09904 Many thanks to our sponsors @imfusion.com and Intuitive for their support and to MICCAI Society and EndoVis for their hosting!

arxiv.org

Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping

Quantifying performance of methods for tracking and mapping tissue in endoscopic environments is essential for enabling image guidance and automation of medical interventions and surgery. Datasets dev...

000

Mert Karaoglu @mertkaraoglu.bsky.social · 09/07/2025

🔗 Details on the submission, tasks and prizes: stir-challenge.github.io 🔗 Dataset from last year's challenge: stir-challenge.github.io//stirc-2024/ #MICCAI2025 #EndoVis #STIRChallenge

stir-challenge.github.io

STIR Challenge 2025

100

Mert Karaoglu @mertkaraoglu.bsky.social · 09/07/2025

🧵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.

100

Reposted by Mert Karaoglu

Hannah Schieber @hannahhaensen.bsky.social · 05/05/2025

🤝 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

031

Mert Karaoglu @mertkaraoglu.bsky.social · 09/12/2024

📢 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

hannahhaensen.github.io

DynaMoN: Motion-Aware Fast And Robust Camera Localization for Dynamic NeRF

DynaMoN: Motion-Aware Fast And Robust CameraLocalization for Dynamic NeRF

081