Sizhe Chen

Computer Vision and Pattern Recognition · with Jin · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 7 citations into it

Whom Sizhe Chen trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Radford M. Neal
7. L. Eon Bottou
8. Nitish Srivastava
9. Qun Zhao
10. Matthew D. Zeiler

Who trusts Sizhe Chen overall

1. Mohammad Rostami
2. Siwei Yu
3. Zhongling Huang
4. Zhimian Zhang
5. Grant J. Scott
6. Haipeng Wang
7. Yu Zhou
8. Xiaoxiang Zhu
9. Sihang Dang
10. Jianwei Ma

Papers from Sizhe Chen's perspective

Ordered by how strongly the researchers Sizhe Chen 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Target Classification Using the Deep Convolutional Networks for SAR Images (2016) — 1,187 citations