Liangli Zhen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 159 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 15 citations into it
• Multimodal Learning — 13 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Liangli Zhen trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Karen Simonyan
5. Xiaohua Zhai
6. Ilya Sutskever
7. Andrew Zisserman
8. Jimmy Ba
9. Yoshua Bengio
10. Kaiming He

Who trusts Liangli Zhen overall

1. Xiaoqiang Yan

Papers from Liangli Zhen's perspective

Ordered by how strongly the researchers Liangli Zhen 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Scalable Deep Multimodal Learning for Cross-Modal Retrieval (2019) — 129 citations
• Deep Supervised Cross-Modal Retrieval (2019) — 440 citations