Yuan Zhou

Computer Vision and Pattern Recognition · with Hua · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Model Architectures — 7 citations into it

Whom Yuan Zhou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Vinod Nair
5. Xiangyu Zhang
6. Yoshua Bengio
7. X. Zhang
8. Yann LeCun
9. Oriol Vinyals
10. Ross B. Girshick

Who trusts Yuan Zhou overall

1. S. Cong

Papers from Yuan Zhou's perspective

Ordered by how strongly the researchers Yuan Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Boosting the Performance of CNN Accelerators with Dynamic Fine-Grained Channel Gating (2019) — 48 citations