Jianbin Tang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #18,182 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 20 citations into it
• Efficiency & Compression — 14 citations into it
• Model Architectures — 6 citations into it

Whom Jianbin Tang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Jimmy Ba
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Shaoqing Ren
8. Yann LeCun
9. Diederik P. Kingma
10. Song Han

Who trusts Jianbin Tang overall

1. Yiheng Xu
2. Yupan Huang
3. Minesh Mathew

Papers from Jianbin Tang's perspective

Ordered by how strongly the researchers Jianbin Tang 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• PubLayNet: Largest Dataset Ever for Document Layout Analysis (2019) — 638 citations
• Ensemble Knowledge Distillation for Learning Improved and Efficient Networks (2019) — 92 citations