Zehua Huang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 166 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #14,533 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 20 citations into it; #23,704 of 35,345 by trust here, #8,525 by citations
• Model Architectures — 9 citations into it

Whom Zehua Huang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Ross B. Girshick
6. Matthew D. Zeiler
7. Andrew Zisserman
8. Yann LeCun
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Zehua Huang overall

1. Liang-Chieh Chen

Papers from Zehua Huang's perspective

Ordered by how strongly the researchers Zehua Huang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Understanding Convolution for Semantic Segmentation (2017) — 1,908 citations