Simon Suo

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 94 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #20,397 of 21,575 by trust here, #7,340 by citations
• Automotive Engineering — 30 citations into it
• Artificial Intelligence — 28 citations into it
• Reinforcement Learning — 15 citations into it
• Computational Mechanics — 13 citations into it
• Aerospace Engineering — 9 citations into it
• Model Architectures — 8 citations into it

Whom Simon Suo trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Kaiming He
5. Yann LeCun
6. Yoshua Bengio
7. Jonathan Ho
8. Wenjie Luo
9. Ross B. Girshick
10. Raquel Urtasun

Who trusts Simon Suo overall

1. Chonghao Sima
2. Ming Liang
3. Shaoshuai Shi
4. Wenxuan Wu
5. Zhijian Liu
6. Li Chen
7. Yongcheng Liu
8. Benjamin Ummenhofer

Papers from Simon Suo's perspective

Ordered by how strongly the researchers Simon Suo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Parametric Continuous Convolutional Neural Networks (2018) — 494 citations
• End-To-End Interpretable Neural Motion Planner (2019) — 482 citations
• TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors (2021) — 321 citations