Alex Wong

Computer Vision and Pattern Recognition · with Yuille · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #16,538 of 21,575 by trust here, #18,266 by citations

Whom Alex Wong trusts overall

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

1. Thomas M. Cover
2. Dan Huttenlocher
3. Yann LeCun
4. Geoffrey E. Hinton
5. Ruslan Salakhutdinov
6. Gregory A. Klanderman
7. Li Fei-Fei
8. Yoshua Bengio
9. Andrea Vedaldi
10. Alex Krizhevsky

Who trusts Alex Wong overall

1. Bharath Hariharan
2. Dileep George
3. Ross B. Girshick
4. Kenneth Marino
5. Qi Fan
6. Fengwei Zhou
7. Wolfgang Lehrach
8. Yu-Xiong Wang

Papers from Alex Wong's perspective

Ordered by how strongly the researchers Alex Wong 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. 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• One Shot Learning via Compositions of Meaningful Patches (2015) — 46 citations