Jian Ye

Computer Vision and Pattern Recognition · with Ni · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #13,450 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 7 citations into it

Whom Jian Ye trusts overall

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

1. Jessica J. Fridrich
2. Matthew D. Zeiler
3. Xavier Glorot
4. Tomás Pevný
5. Patrick Bas
6. Yoshua Bengio
7. Sergey Ioffe
8. Siwei Lyu
9. Miroslav Goljan
10. Ismail Avcibas

Who trusts Jian Ye overall

1. Mehdi Boroumand
2. Mehdi Yedroudj
3. Ru Zhang
4. Kevin Alex Zhang
5. Mo Chen
6. Frédéric Comby
7. Feng Zhu
8. Alfredo Cuesta-Infante

Papers from Jian Ye's perspective

Ordered by how strongly the researchers Jian Ye 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. Long Short-Term Memory
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Learning Hierarchical Representations for Image Steganalysis (2017) — 736 citations