Kaifa Hui

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 123 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #10,250 of 21,575 by trust here, #16,787 by citations
• Representation & Self-Supervised Learning — 8 citations into it; #1,697 of 3,145 by trust here, #2,691 by citations

Whom Kaifa Hui trusts overall

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

1. Adam Coates
2. Andrew Y. Ng
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Honglak Lee
8. Quoc V. Le
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Kaifa Hui overall

1. Elad Hoffer
2. Itay Hubara
3. Jost Tobias Springenberg
4. Nir Ailon
5. Chen Huang
6. Guo-Jun Qi
7. Alexey Dosovitskiy

Papers from Kaifa Hui's perspective

Ordered by how strongly the researchers Kaifa Hui 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Direct Modeling of Complex Invariances for Visual Object Features (2013) — 30 citations