Shugang Zhang

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it
• Artificial Intelligence — 35 citations into it
• Human-Computer Interaction — 19 citations into it
• Media Technology — 8 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Shugang Zhang trusts overall

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

1. Ivan Laptev
2. Alex Krizhevsky
3. David G. Lowe
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Kaiming He
7. Ilya Sutskever
8. Karen Simonyan
9. Andrew Y. Ng
10. Yoshua Bengio

Who trusts Shugang Zhang overall

1. Sakorn Mekruksavanich
2. Anuchit Jitpattanakul

Papers from Shugang Zhang's perspective

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

Their papers

• Enhancing Protein Function Prediction Performance by Utilizing AlphaFold-Predicted Protein Structures (2022) — 56 citations
• A Review on Human Activity Recognition Using Vision-Based Method (2017) — 306 citations