1 citations · 2 across the 5 of their papers we have counts for
5 papers
Multi-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision
Xinwei Ju, Rema Daher, Danail Stoyanov +2
Monocular depth and pose estimation play an important role in the development of colonoscopy-assisted navigation, as they enable improved screening by reducing blind spots, minimiz…
SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition
Rema Daher, Francisco Vasconcelos, Danail Stoyanov
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recognising which portions of the colon have been visualised and characterising the size…
SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data
Xinwei Ju, Rema Daher, Razvan Caramalau +7
Improving the reliability and completeness of colonoscopic inspection is critical for reducing missed lesions and improving colorectal cancer prevention. Reliable scene understandi…
Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks
Sierra Bonilla, Chiara Di Vece, Rema Daher +4
Three-dimensional (3D) reconstruction from two-dimensional images is an active research field in computer vision, with applications ranging from navigation and object tracking to s…
Change your singer: a transfer learning generative adversarial framework for song to song conversion
Rema Daher, Mohammad Kassem Zein, Julia El Zini +2
Have you ever wondered how a song might sound if performed by a different artist? In this work, we propose SCM-GAN, an end-to-end non-parallel song conversion system powered by gen…