Guobin Chen

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 198 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #16,632 of 21,575 by trust here, #5,507 by citations
• Artificial Intelligence — 24 citations into it
• Efficiency & Compression — 16 citations into it

Whom Guobin Chen trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. X. Zhang
6. Karen Simonyan
7. Shaoqing Ren
8. Ilya Sutskever
9. Yann LeCun
10. Andrew Zisserman

Who trusts Guobin Chen overall

1. Jingwen Ye
2. Sara Beery
3. Mohammad Sadegh Norouzzadeh
4. Lin Wang
5. Hadi Pouransari
6. Nikolaos Passalis
7. Zhen Wang
8. Can Peng
9. Sungho Shin
10. Chenhongyi Yang

Papers from Guobin Chen's perspective

Ordered by how strongly the researchers Guobin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning Efficient Object Detection Models with Knowledge Distillation (2017) — 1,151 citations
• Deep convolutional neural network based species recognition for wild animal monitoring (2014) — 177 citations