Mert Karaoglu
@mertkaraoglu.bsky.social
3D Vision for Surgical Robotics
PhD Candidate at CAMP at TU Munich | Senior Research Engineer at ImFusion 🟦
PhD Candidate at CAMP at TU Munich | Senior Research Engineer at ImFusion 🟦
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...
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...
November 11, 2025 at 8:20 PM
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...
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.
LiteTracker is a low-latency tissue tracking method designed for real-time surgical applications.
July 12, 2025 at 11:06 AM
🧵LiteTracker is accepted to MICCAI 2025!
LiteTracker is a low-latency tissue tracking method designed for real-time surgical applications.
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.
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.
July 9, 2025 at 6:09 PM
🧵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.
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.
Reposted by Mert Karaoglu
🤝 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
#ICRA2025 #RA_L #ComputerVision #NeRF #Robotics #CameraLocalization #DynaMoN #AI #MIRMI #TUM #FAU
May 5, 2025 at 8:38 AM
🤝 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
#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
Huge thanks to the team for the amazing effort!
👉 Project page: hannahhaensen.github.io/DynaMoN/
@imfusion.com #TUM #CAMP #MIRMI #FAU
December 9, 2024 at 12:25 PM
📢 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
Huge thanks to the team for the amazing effort!
👉 Project page: hannahhaensen.github.io/DynaMoN/
@imfusion.com #TUM #CAMP #MIRMI #FAU