3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2026
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…