Jo Yew Tham

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 2 papers; trusts 116 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #14,686 of 21,575 by trust here, #17,757 by citations
• Generative Models — 18 citations into it

Whom Jo Yew Tham trusts overall

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

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

Who trusts Jo Yew Tham overall

1. Miaoyun Zhao

Papers from Jo Yew Tham's perspective

Ordered by how strongly the researchers Jo Yew Tham trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Attribute Manipulation Generative Adversarial Networks for Fashion Images (2019) — 85 citations
• Symmetric–Antisymmetric Orthonormal Multiwavelets and Related Scalar Wavelets☆☆☆ (2000) — 108 citations