17 citations · 28 across the 4 of their papers we have counts for
5 papers
GLAMpoints: Greedily Learned Accurate Match points
Prune Truong, Stefanos Apostolopoulos, Agata Mosinska +3
We introduce a novel CNN-based feature point detector - GLAMpoints - learned in a semi-supervised manner. Our detector extracts repeatable, stable interest points with a dense cove…
Joint Segmentation and Path Classification of Curvilinear Structures
Agata Mosinska, Mateusz Kozinski, Pascal Fua
Detection of curvilinear structures in images has long been of interest. One of the most challenging aspects of this problem is inferring the graph representation of the curvilinea…
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation
Mateusz Koziński, Agata Mosinska, Mathieu Salzmann +1
The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, w…
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Agata Mosinska, Pablo Marquez-Neila, Mateusz Kozinski +1
Delineation of curvilinear structures is an important problem in Computer Vision with multiple practical applications. With the advent of Deep Learning, many current approaches on…
Active Learning and Proofreading for Delineation of Curvilinear Structures
Agata Mosinska, Jakub Tarnawski, Pascal Fua
Many state-of-the-art delineation methods rely on supervised machine learning algorithms. As a result, they require manually annotated training data, which is tedious to obtain. Fu…