Jie Chen

Computer Vision and Pattern Recognition · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 229 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #15,881 of 21,575 by trust here, #8,502 by citations
• Artificial Intelligence — 25 citations into it
• Multimodal Learning — 23 citations into it; #846 of 1,211 by trust here, #702 by citations
• Natural Language Processing — 16 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Model Architectures — 5 citations into it

Whom Jie Chen trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Shaoqing Ren
8. Richard Socher
9. Jimmy Ba
10. Ilya Sutskever

Who trusts Jie Chen overall

1. Marcella Cornia

Papers from Jie Chen's perspective

Ordered by how strongly the researchers Jie Chen 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Attention on Attention for Image Captioning (2019) — 1,012 citations