Steve Carter

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 233 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #13,843 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 11 citations into it

Whom Steve Carter trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Yuri Boykov
4. Alex Krizhevsky
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. X. Zhang
9. Vladimir Kolmogorov
10. Shaoqing Ren

Who trusts Steve Carter overall

1. J. Liew

Papers from Steve Carter's perspective

Ordered by how strongly the researchers Steve Carter 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. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation (2018) — 104 citations