Thomas Lucas

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 294 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #16,189 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 23 citations into it; #26,552 of 35,345 by trust here, #19,439 by citations
• Multimodal Learning — 13 citations into it
• Natural Language Processing — 11 citations into it
• Model Architectures — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Thomas Lucas trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Kaiming He
5. Ilya Sutskever
6. Karen Simonyan
7. Ross B. Girshick
8. Alex Krizhevsky
9. Oriol Vinyals
10. Yann LeCun

Who trusts Thomas Lucas overall

1. Marcella Cornia
2. Peter Anderson
3. Ning Xie
4. Md. Zakir Hossain
5. Alane Suhr
6. Matteo Stefanini

Papers from Thomas Lucas's perspective

Ordered by how strongly the researchers Thomas Lucas 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Areas of Attention for Image Captioning (2016) — 218 citations