Chi Lo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 7 citations into it

Whom Chi Lo trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Christian Szegedy
6. Sergey Zagoruyko
7. Yann LeCun
8. Ilya Sutskever
9. Nitish Srivastava
10. Karen Simonyan

Who trusts Chi Lo overall

1. Yoshitomo Matsubara
2. Marco Levorato

Papers from Chi Lo's perspective

Ordered by how strongly the researchers Chi Lo 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Dynamic Deep Neural Network Design for Efficient Workload Allocation in Edge Computing (2017) — 44 citations