Zihe Dong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 43 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Zihe Dong trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yann LeCun
6. Jimmy Ba
7. Christian Szegedy
8. Ilya Sutskever
9. Yoshua Bengio
10. Sergey Ioffe

Papers from Zihe Dong's perspective

Ordered by how strongly the researchers Zihe Dong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet Large Scale Visual Recognition Challenge
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Highlight Every Step: Knowledge Distillation via Collaborative Teaching (2019) — 75 citations