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 🟦
📄 arXiv: arxiv.org/abs/2504.09904
💻 Code: github.com/ImFusionGmbH/lite-tracker
Many thanks to all collaborators at @imfusion.com and CAMP : Wenbo Ji, Ahmed Abbas, Nassir Navab , @busambenjamin.bsky.social , and Alexander Ladikos.
See you all in Daejeon 🇰🇷
#MICCAI2025
💻 Code: github.com/ImFusionGmbH/lite-tracker
Many thanks to all collaborators at @imfusion.com and CAMP : Wenbo Ji, Ahmed Abbas, Nassir Navab , @busambenjamin.bsky.social , and Alexander Ladikos.
See you all in Daejeon 🇰🇷
#MICCAI2025
GitHub - ImFusionGmbH/lite-tracker: Official code repository for LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking; published at MICCAI 2025.
Official code repository for LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking; published at MICCAI 2025. - ImFusionGmbH/lite-tracker
github.com
July 12, 2025 at 11:06 AM
📄 arXiv: arxiv.org/abs/2504.09904
💻 Code: github.com/ImFusionGmbH/lite-tracker
Many thanks to all collaborators at @imfusion.com and CAMP : Wenbo Ji, Ahmed Abbas, Nassir Navab , @busambenjamin.bsky.social , and Alexander Ladikos.
See you all in Daejeon 🇰🇷
#MICCAI2025
💻 Code: github.com/ImFusionGmbH/lite-tracker
Many thanks to all collaborators at @imfusion.com and CAMP : Wenbo Ji, Ahmed Abbas, Nassir Navab , @busambenjamin.bsky.social , and Alexander Ladikos.
See you all in Daejeon 🇰🇷
#MICCAI2025
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
🎞️ 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
July 12, 2025 at 11:06 AM
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
🎞️ 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
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.
July 12, 2025 at 11:06 AM
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.
🔗 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!
🔗 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!
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...
arxiv.org
July 9, 2025 at 6:09 PM
🔗 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!
🔗 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!
🔗 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
🔗 Dataset from last year's challenge: stir-challenge.github.io//stirc-2024/
#MICCAI2025 #EndoVis #STIRChallenge
STIR Challenge 2025
stir-challenge.github.io
July 9, 2025 at 6:09 PM
🔗 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
🔗 Dataset from last year's challenge: stir-challenge.github.io//stirc-2024/
#MICCAI2025 #EndoVis #STIRChallenge
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