Jatuporn Toy Leksut

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 174 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it; #13,430 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 6 citations into it

Whom Jatuporn Toy Leksut trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Ilya Sutskever
6. Yann LeCun
7. Yoshua Bengio
8. Kaiming He
9. Diederik P. Kingma
10. Tal Hassner

Who trusts Jatuporn Toy Leksut overall

1. Anh Tuan Tran

Papers from Jatuporn Toy Leksut's perspective

Ordered by how strongly the researchers Jatuporn Toy Leksut trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Do We Really Need to Collect Millions of Faces for Effective Face Recognition? (2016) — 379 citations
• Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild (2019) — 102 citations