Hongliang Fei

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 25 citations into it

Whom Hongliang Fei trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Shaoqing Ren
5. Ilya Sutskever

Papers from Hongliang Fei's perspective

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

Their papers

• Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval (2021) — 56 citations