Jing-Ming Guo

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it

Whom Jing-Ming Guo trusts overall

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

1. Alex Krizhevsky
2. Andrew Zisserman
3. Karen Simonyan
4. Matthew D. Zeiler
5. Josef Sivic
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Ilya Sutskever
9. Rob Fergus
10. Yoshua Bengio

Papers from Jing-Ming Guo's perspective

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

Their papers

• Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval (2017) — 98 citations
• International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2008) — 326 citations