Joe Yue-Hei Ng
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 2 papers; trusts 309 researchers and is trusted by 808 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 45 citations into it; #1,532 of 21,575 by trust here, #2,347 by citations
- Artificial Intelligence — 21 citations into it; #5,403 of 35,345 by trust here, #3,111 by citations
- Model Architectures — 9 citations into it
- Aerospace Engineering — 5 citations into it
Whom Joe Yue-Hei Ng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Graves
- Ilya Sutskever
- Yoshua Bengio
- Herv'e J'egou
- Christian Szegedy
- Yann LeCun
Who trusts Joe Yue-Hei Ng overall
- Christoph Feichtenhofer
- Limin Wang
- X. Wang
- Pichao Wang
- Abhinav Kumar Gupta
- Yi Yang
- Linchao Zhu
- Ali Diba
- Chuang Gan
- Du Tran
Papers from Joe Yue-Hei Ng's perspective
Ordered by how strongly the researchers Joe Yue-Hei Ng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Beyond short snippets: Deep networks for video classification (2015) — 2,456 citations
- Exploiting local features from deep networks for image retrieval (2015) — 424 citations