59 citations · 85 across the 6 of their papers we have counts for
5 papers · 1 filter
Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
Ahmet Rasim Emirdagi, Süleyman Aslan, Mısra Yavuz +5
Metal artifacts from high-attenuation implants severely degrade CT image quality, obscuring critical anatomical structures and posing a challenge for standard deep learning methods…
Towards Zero-shot Sign Language Recognition
Yunus Can Bilge, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis
This paper tackles the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign classes to recognize the instances of…
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gokberk Cinbis +2
In many real-world problems, there is typically a large discrepancy between the characteristics of data used in training versus deployment. A prime example is the analysis of aggre…
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
Yunus Can Bilge, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis
We introduce the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign class examples to recognize the instances o…
Wildest Faces: Face Detection and Recognition in Violent Settings
Mehmet Kerim Yucel, Yunus Can Bilge, Oguzhan Oguz +3
With the introduction of large-scale datasets and deep learning models capable of learning complex representations, impressive advances have emerged in face detection and recogniti…