46 citations · 65 across the 5 of their papers we have counts for
8 papers
Enhancing Fairness of Visual Attribute Predictors
Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger +4
The performance of deep neural networks for image recognition tasks such as predicting a smiling face is known to degrade with under-represented classes of sensitive attributes. We…
Fairness by Learning Orthogonal Disentangled Representations
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami +1
Learning discriminative powerful representations is a crucial step for machine learning systems. Introducing invariance against arbitrary nuisance or sensitive attributes while per…
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan +3
For many practical problems and applications, it is not feasible to create a vast and accurately labeled dataset, which restricts the application of deep learning in many areas. Se…
Learning Interpretable Disentangled Representations using Adversarial VAEs
Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab +1
Learning Interpretable representation in medical applications is becoming essential for adopting data-driven models into clinical practice. It has been recently shown that learning…
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss
Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy +2
Deep learning techniques are recently being used in fundus image analysis and diabetic retinopathy detection. Microaneurysms are an important indicator of diabetic retinopathy prog…
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images
Mingchuan Zhou, Mahdi Hamad, Jakob Weiss +7
Ophthalmic microsurgery is known to be a challenging operation, which requires very precise and dexterous manipulation. Image guided robot-assisted surgery (RAS) is a promising sol…