Eric Upschulte

According to our database, Eric Upschulte authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

A Survey on Self-Supervised Representation Learning.

Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling

CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang

CoRR, 2023

2022

Contour proposal networks for biomedical instance segmentation.

Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

Medical Image Anal., 2022

Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images.

Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

2019

On the Vulnerability of Capsule Networks to Adversarial Attacks.

Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling

CoRR, 2019