output
20032025
most citedTotal Deep Variation: A Stable Regularizer for Inverse Problems

12 citations

7 papers

eess.IV2025

Modulated INR with Prior Embeddings for Ultrasound Imaging Reconstruction

Rémi Delaunay, Christoph Hennersperger, Stefan Wörz

Ultrafast ultrasound imaging enables visualization of rapid physiological dynamics by acquiring data at exceptionally high frame rates. However, this speed often comes at the cost…

cs.CV2020★ 12 cited

Total Deep Variation: A Stable Regularizer for Inverse Problems

Erich Kobler, Alexander Effland, Karl Kunisch +1

Various problems in computer vision and medical imaging can be cast as inverse problems. A frequent method for solving inverse problems is the variational approach, which amounts t…

math.OC2019★ 4 cited

An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration

Alexander Effland, Erich Kobler, Karl Kunisch +1

We investigate a well-known phenomenon of variational approaches in image processing, where typically the best image quality is achieved when the gradient flow process is stopped b…

cs.IR2014★ 3 cited

Assessing the Quality of Web Content

Elisabeth Lex, Inayat Khan, Horst Bischof +1

This paper describes our approach towards the ECML/PKDD Discovery Challenge 2010. The challenge consists of three tasks: (1) a Web genre and facet classification task for English h…

cs.CV2014★ 3 cited

Indoor Activity Detection and Recognition for Sport Games Analysis

Georg Waltner, Thomas Mauthner, Horst Bischof

Activity recognition in sport is an attractive field for computer vision research. Game, player and team analysis are of great interest and research topics within this field emerge…

cs.CV2013★ 7 cited

Pulmonary Vascular Tree Segmentation from Contrast-Enhanced CT Images

M. Helmberger, M. Urschler, M. Pienn +3

We present a pulmonary vessel segmentation algorithm, which is fast, fully automatic and robust. It uses a coarse segmentation of the airway tree and a left and right lung labeled…