Hanbin Dai

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Human-Computer Interaction — 13 citations into it

Whom Hanbin Dai trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Bin Xiao
5. Yoshua Bengio
6. Alexander Toshev
7. Kaiming He
8. Alex Krizhevsky
9. Ross B. Girshick

Papers from Hanbin Dai's perspective

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

Their papers

• Distribution-Aware Coordinate Representation for Human Pose Estimation (2019) — 527 citations