Siqin Chen

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #8,985 of 21,575 by trust here, #9,563 by citations
• Artificial Intelligence — 15 citations into it; #13,851 of 35,345 by trust here, #13,962 by citations

Whom Siqin Chen trusts overall

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

1. Geoffrey E. Hinton
2. Antoni B. Chan
3. Yann LeCun
4. Kunihiko Fukushima
5. Yoshua Bengio
6. Andrew Zisserman
7. Alex Krizhevsky
8. Evan Shelhamer
9. Simon S. Haykin
10. Paul A. Viola

Who trusts Siqin Chen overall

1. Vishwanath A. Sindagi
2. Daniel Oñoro-Rubio
3. Vishal M. Patel
4. Xiaoheng Jiang
5. Ruoxi Deng
6. Qi Wang
7. Luca Ciampi
8. Weizhe Liu
9. Yuhong Li
10. Xialei Liu

Papers from Siqin Chen's perspective

Ordered by how strongly the researchers Siqin 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Single-Image Crowd Counting via Multi-Column Convolutional Neural Network (2016) — 2,110 citations