Anna Alperovich

According to our database, Anna Alperovich authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks.

Mayar Lotfy, Anna Alperovich, Tommaso Giannantonio, Björn Barz, Xiaohan Zhang, Felix Holm, Nassir Navab, Felix Boehm, Carolin Schwamborn, Thomas K. Hoffmann, Patrick J. Schuler

CoRR, 2023

Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging.

Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro, Manfredo Atzori, Xiaohan Zhang, Christoph Hauger, Alexander Freytag, Siri Luthman, Roeland Vandebriel, Murali Jayapala, Lien Solie, Steven De Vleeschouwer

CoRR, 2023

2022

Dynamic CNNs using uncertainty to overcome domain generalization for surgical instrument localization.

Markus Philipp, Anna Alperovich, Marielena Gutt-Will, Andrea Mathis, Stefan Saur, Andreas Raabe, Franziska Mathis-Ullrich

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Localizing Neurosurgical Instruments Across Domains and in the Wild.

Markus Philipp, Anna Alperovich, Marielena Gutt-Will, Andrea Mathis, Stefan Saur, Andreas Raabe, Franziska Mathis-Ullrich

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Approaches for Intrinsic Light Field Decomposition.

Anna Alperovich

Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Variational and Deep Learning Approaches for Intrinsic Light Field Decomposition.

Anna Alperovich

PhD thesis, 2020

2019

An Epipolar Volume Autoencoder With Adversarial Loss for Deep Light Field Super-Resolution.

Minchen Zhu, Anna Alperovich, Ole Johannsen, Antonin Sulc, Bastian Goldluecke

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Intrinsic Light Field Decomposition and Disparity Estimation with Deep Encoder-Decoder Network.

Anna Alperovich, Ole Johannsen, Bastian Goldluecke

Proceedings of the 26th European Signal Processing Conference, 2018

Light Field Intrinsics With a Deep Encoder-Decoder Network.

Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shadow and Specularity Priors for Intrinsic Light Field Decomposition.

Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Accurate Depth and Normal Maps from Occlusion-Aware Focal Stack Symmetry.

Michael Strecke, Anna Alperovich, Bastian Goldluecke

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.

Ole Johannsen, Katrin Honauer, Bastian Goldluecke, Anna Alperovich, Federica Battisti, Yunsu Bok, Michele Brizzi, Marco Carli, Gyeongmin Choe, Maximilian Diebold, Marcel Gutsche, Hae-Gon Jeon, In So Kweon, Jaesik Park, Jinsun Park, Hendrik Schilling, Hao Sheng, Lipeng Si, Michael Strecke, Antonin Sulc, Yu-Wing Tai, Qing Wang, Ting-Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, Hao Zhu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Reflection Separation in Light Fields based on Sparse Coding and Specular Flow.

Antonin Sulc, Anna Alperovich, Nico Marniok, Bastian Goldluecke

Proceedings of the 21st International Symposium on Vision, Modeling, and Visualization, 2016

A Variational Model for Intrinsic Light Field Decomposition.

Anna Alperovich, Bastian Goldluecke

Proceedings of the Computer Vision - ACCV 2016, 2016