Florian Jug
Biophysics · 2017–2021
A researcher in the Science corpus: 6 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Biophysics — 110 citations into it; #885 of 1,196 by trust here, #337 by citations
- Computer Vision and Pattern Recognition — 85 citations into it; #17,564 of 21,575 by trust here, #14,151 by citations
- Media Technology — 41 citations into it; #2,821 of 3,621 by trust here, #926 by citations
- Molecular Biology — 41 citations into it
- Artificial Intelligence — 38 citations into it
- Model Architectures — 9 citations into it
Whom Florian Jug trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Roth
- Sergey Ioffe
- Evan Shelhamer
- Olaf Ronneberger
- Joshua D. Batson
- Christian Szegedy
- A. Buades
- Kaiming He
Who trusts Florian Jug overall
Papers from Florian Jug's perspective
Ordered by how strongly the researchers Florian Jug trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Et al
- Fully convolutional networks for semantic segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Noise2Void - Learning Denoising From Single Noisy Images (2018) — 1,490 citations
- An Objective Comparison of Cell Tracking Algorithms (2017) — 542 citations
- Labkit: Labeling and Segmentation Toolkit for Big Image Data (2021) — 300 citations
- Democratising deep learning for microscopy with ZeroCostDL4Mic (2021) — 455 citations
- The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis (2020) — 327 citations
- Content-aware image restoration: pushing the limits of fluorescence microscopy (2018) — 1,132 citations