5 papers · 1 filter
SA-VIS: Sparse frame Annotations for training Video Instance Segmentation
Edoardo Mello Rella, Ajad Chhatkuli, Shipra Jain +2
Recent online video instance segmentation (VIS) methods have achieved impressive results, thus becoming the preferred approach to segment instances in videos. Despite the resurgenc…
VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence
Guney Tombak, Ertunc Erdil, Ender Konukoglu
Cross-modal 3D medical image analysis requires voxelwise representations that remain anatomically consistent across imaging contrasts, scanners, and acquisition protocols. Recent w…
Trustworthy Endoscopic Super-Resolution
Julio Silva-Rodríguez, Ender Konukoglu
Super-resolution (SR) models are attracting growing interest for enhancing minimally invasive surgery and diagnostic videos under hardware constraints. However, valid concerns rema…
Semi-Supervised Few-Shot Adaptation of Vision-Language Models
Julio Silva-Rodríguez, Ender Konukoglu
Vision-language models (VLMs) pre-trained on large, heterogeneous data sources are becoming increasingly popular, providing rich multi-modal embeddings that enable efficient transf…
Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection
Ertunc Erdil, Nico Schulthess, Guney Tombak +1
DINO models provide rich patch-level representations that have recently enabled strong performance in unsupervised anomaly detection (UAD). Most existing methods extract patch embe…