Hui Cheng

Computer Vision and Pattern Recognition · with Lin · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 258 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it
• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 9 citations into it
• Aerospace Engineering — 5 citations into it

Whom Hui Cheng trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Alex Krizhevsky
5. Ilya Sutskever
6. Yoshua Bengio
7. Kaiming He
8. Karen Simonyan
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Hui Cheng overall

1. Hui Li
2. Chenglong Li
3. Xingchen Zhang

Papers from Hui Cheng's perspective

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

Their papers

• Deep Reasoning with Knowledge Graph for Social Relationship Understanding (2018) — 196 citations
• Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking (2016) — 356 citations
• Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos (2015) — 27 citations