9 citations · 12 across the 3 of their papers we have counts for
5 papers
Weakly Supervised Object Detection with Pointwise Mutual Information
Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink
In this work a novel approach for weakly supervised object detection that incorporates pointwise mutual information is presented. A fully convolutional neural network architecture…
Neuron Pruning for Compressing Deep Networks using Maxout Architectures
Fernando Moya Rueda, Rene Grzeszick, Gernot A. Fink
This paper presents an efficient and robust approach for reducing the size of deep neural networks by pruning entire neurons. It exploits maxout units for combining neurons into mo…
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
Waleed M. Gondal, Jan M. Köhler, René Grzeszick +2
Convolutional neural networks (CNNs) show impressive performance for image classification and detection, extending heavily to the medical image domain. Nevertheless, medical expert…
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink
In this paper the application of uncertainty modeling to convolutional neural networks is evaluated. A novel method for adjusting the network's predictions based on uncertainty inf…
Zero-shot object prediction using semantic scene knowledge
Rene Grzeszick, Gernot A. Fink
This work focuses on the semantic relations between scenes and objects for visual object recognition. Semantic knowledge can be a powerful source of information especially in scena…