Lachlan Tychsen-Smith

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 182 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #8,048 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 5 citations into it; #12,135 of 35,345 by trust here, #15,004 by citations

Whom Lachlan Tychsen-Smith trusts overall

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

1. Ross B. Girshick
2. Yann LeCun
3. Tsung-Yi Lin
4. Kaiming He
5. Simon S. Haykin
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Alex Krizhevsky
9. Mark Everingham
10. L. Eon Bottou

Who trusts Lachlan Tychsen-Smith overall

1. Shengkai Wu
2. Xiaoping Li
3. Kai Chen
4. Songtao Liu
5. Zhaojin Huang
6. Xiang-Yang Li
7. Dingfu Zhou
8. Xinggang Wang
9. Di Huang
10. Shuo Yang

Papers from Lachlan Tychsen-Smith's perspective

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

Their papers

• Improving Object Localization with Fitness NMS and Bounded IoU Loss (2017) — 194 citations