Liqiang Zhang

Computer Vision and Pattern Recognition · with Zhang · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Media Technology — 8 citations into it

Whom Liqiang Zhang trusts overall

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

1. Yi Yang
2. Aude Oliva
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Antonio Torralba
6. Yunchao Gong
7. Alex Krizhevsky
8. L. V. D. van der Maaten
9. Svetlana Lazebnik
10. Kaiming He

Papers from Liqiang Zhang's perspective

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

Their papers

• A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval (2016) — 82 citations