Emily M. Hand

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #21,049 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 26 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 7 citations into it

Whom Emily M. Hand trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Ilya Sutskever
5. Kaiming He
6. Yann LeCun
7. Matthew D. Zeiler
8. Nitish Srivastava
9. Alex Graves
10. Ross B. Girshick

Who trusts Emily M. Hand overall

1. Gao Huang

Papers from Emily M. Hand's perspective

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

Their papers

• Part-based multiple-person tracking with partial occlusion handling (2012) — 370 citations
• Gradual DropIn of Layers to Train Very Deep Neural Networks (2015) — 37 citations