Jinshan Tang

Computer Vision and Pattern Recognition · 2003–2018

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #13,786 of 21,575 by trust here, #15,955 by citations

Whom Jinshan Tang trusts overall

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

1. Sos S. Agaian
2. Naga R. Mudigonda
3. Mehul P. Sampat
4. Heng-Da Cheng
5. Rangaraj Mandayam Rangayyan
6. Karen A. Panetta
7. Mia K. Markey
8. Geoffrey E. Hinton

Who trusts Jinshan Tang overall

1. Karen A. Panetta
2. Sos S. Agaian
3. Shijun Wang
4. Massimo Salvi
5. Chen Gao
6. Blair Silver
7. Ronald M. Summers
8. Usha R. Acharya

Papers from Jinshan Tang's perspective

Ordered by how strongly the researchers Jinshan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Deep learning for image-based cancer detection and diagnosis - A survey (2018) — 456 citations
• Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances (2009) — 641 citations
• Image enhancement using a contrast measure in the compressed domain (2003) — 366 citations