Yong Haur Tay

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #7,514 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 13 citations into it; #11,038 of 35,345 by trust here, #24,417 by citations

Whom Yong Haur Tay trusts overall

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

1. Ivan Laptev
2. Karen Simonyan
3. Viorica Patraucean
4. Cewu Lu
5. Amit Adam
6. Vijay Mahadevan
7. Andrew Zisserman
8. Xingjian Shi
9. Cordelia Schmid
10. Geoffrey E. Hinton

Who trusts Yong Haur Tay overall

1. Weixin Luo
2. Wen Liu
3. Hyunjong Park
4. Dilip Ravi Kiran

Papers from Yong Haur Tay's perspective

Ordered by how strongly the researchers Yong Haur Tay 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
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

• Abnormal Event Detection in Videos using Spatiotemporal Autoencoder (2017) — 596 citations