Shichen Liu

Computer Vision and Pattern Recognition · with Huang · 2017

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #20,830 of 21,575 by trust here, #6,146 by citations
• Artificial Intelligence — 32 citations into it; #34,238 of 35,345 by trust here, #8,619 by citations
• Model Architectures — 18 citations into it

Whom Shichen Liu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Alex Graves
4. Kaiming He
5. Ilya Sutskever
6. Yann LeCun
7. Yoshua Bengio
8. Christian Szegedy
9. Ross B. Girshick
10. Diederik P. Kingma

Who trusts Shichen Liu overall

1. Angela Fan
2. Ganesh Sistu
3. Han Cai
4. Jin-Dong Dong
5. Elliot J. Crowley
6. Xu Lan
7. Vasileios Belagiannis
8. Chia-Che Chang
9. Kaiyang Zhou
10. Md Maruf Hossain Shuvo

Papers from Shichen Liu's perspective

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

Their papers

• CondenseNet: An Efficient DenseNet Using Learned Group Convolutions (2017) — 873 citations