Debin Meng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Experimental and Cognitive Psychology — 17 citations into it
• Model Architectures — 8 citations into it

Whom Debin Meng trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Navneet Dalal
7. Christian Szegedy
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Papers from Debin Meng's perspective

Ordered by how strongly the researchers Debin Meng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2019) — 813 citations