Sucheng Ren

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 208 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #21,215 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 47 citations into it
• Representation & Self-Supervised Learning — 24 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 8 citations into it

Whom Sucheng Ren trusts overall

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

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

Who trusts Sucheng Ren overall

1. Weihao Yu
2. Dongze Lian
3. Lei Zhu
4. Xinchao Wang
5. Daquan Zhou
6. Jiashi Feng

Papers from Sucheng Ren's perspective

Ordered by how strongly the researchers Sucheng Ren trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• On Feature Decorrelation in Self-Supervised Learning (2021) — 244 citations
• Shunted Self-Attention via Multi-Scale Token Aggregation (2021) — 322 citations