Towards Richer 3D Reference Maps in Urban Scenes. - Maya Antoun; Daniel C. Asmar; Rema Daher (CRV, 2020)

Change Your Singer: A Transfer Learning Generative Adversarial Framework for Song to Song Conversion. - Rema Daher; Mohammad Kassem Zein; Julia El Zini; Mariette Awad; Daniel C. Asmar (IJCNN, 2020)

A Novel Method For Map Alignment Assessment Using Synthetic Displacement Fields. - Rema Daher; Theodor Chakhachiro; Daniel C. Asmar (AIM, 2021)

From SLAM to CAD Maps and Back Using Generative Models. - Rema Daher; Theodor Chakhachiro; Daniel C. Asmar (ICPR, 2022)

Automated building and evaluation of 2D as-built floor plans. - Daniel C. Asmar; Rema Daher; Yasmine Hawari; Hiam Khoury; Imad H. Elhajj (Mach. Vis. Appl., 2022)

CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy. - Rema Daher; Oscar León Barbed; Ana C. Murillo; Francisco Vasconcelos 001; Danail Stoyanov (MICCAI (10), 2023)

A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video. - Wenyue Jin; Rema Daher; Danail Stoyanov; Francisco Vasconcelos 001 (DEMI@MICCAI, 2023)

A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence. - Rema Daher; Francisco Vasconcelos 001; Danail Stoyanov (Medical Image Anal., 2023)

Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks. - Sierra Bonilla; Chiara Di Vece; Rema Daher; Xinwei Ju; Danail Stoyanov; Francisco Vasconcelos 001; Sophia Bano (ECCV Workshops (23), 2024)

SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data. - Xinwei Ju; Rema Daher; Razvan Caramalau; Baoru Huang; Danail Stoyanov; Francisco Vasconcelos 001 (CoRR, 2024)

SHADeS: self-supervised monocular depth estimation through non-Lambertian image decomposition. - Rema Daher; Francisco Vasconcelos 001; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2025)