40 citations · 184 across the 41 of their papers we have counts for
4 papers · 1 filter
Background Subtraction with Real-time Semantic Segmentation
Dongdong Zeng, Xiang Chen, Ming Zhu +2
Accurate and fast foreground object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have…
GANs for Medical Image Analysis
Salome Kazeminia, Christoph Baur, Arjan Kuijper +4
Generative Adversarial Networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical…
Combining Background Subtraction Algorithms with Convolutional Neural Network
Dongdong Zeng, Ming Zhu, Arjan Kuijper
Accurate and fast extraction of foreground object is a key prerequisite for a wide range of computer vision applications such as object tracking and recognition. Thus, enormous bac…
Exploring Adversarial Examples: Patterns of One-Pixel Attacks
David Kügler, Alexander Distergoft, Arjan Kuijper +1
Failure cases of black-box deep learning, e.g. adversarial examples, might have severe consequences in healthcare. Yet such failures are mostly studied in the context of real-world…