Marick Lae

Computer Vision and Pattern Recognition · 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; #19,383 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 17 citations into it; #31,555 of 35,345 by trust here, #25,809 by citations
• Biophysics — 12 citations into it

Whom Marick Lae 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
6. Evan Shelhamer
7. Geoffrey E. Hinton
8. Ross B. Girshick
9. Dan Claudiu Ciresan
10. Tsung-Yi Lin

Who trusts Marick Lae overall

1. Simon Graham
2. Massimo Salvi

Papers from Marick Lae's perspective

Ordered by how strongly the researchers Marick Lae 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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