Thomas Walter

Computer Vision and Pattern Recognition · with Lae · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #19,381 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 17 citations into it; #31,553 of 35,345 by trust here, #25,809 by citations
• Biophysics — 12 citations into it

Whom Thomas Walter trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Fuyong Xing
3. Xavier Glorot
4. Alex Krizhevsky
5. Yoshua Bengio

Who trusts Thomas Walter overall

1. Simon Graham

Papers from Thomas Walter's perspective

Ordered by how strongly the researchers Thomas Walter trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Microsoft COCO: Common Objects in Context
5. Fully convolutional networks for semantic segmentation
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map (2019) — 666 citations