Jing Li

Computer Vision and Pattern Recognition · with Yu · 2019

A researcher in the Science corpus: 1 paper; trusts 225 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #18,888 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 37 citations into it
• Multimodal Learning — 20 citations into it; #1,031 of 1,211 by trust here, #1,076 by citations
• Natural Language Processing — 18 citations into it
• Model Architectures — 9 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Jing Li trusts overall

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

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

Who trusts Jing Li overall

1. ZiYun Wang
2. Liunian Harold Li
3. Jordi Pont-Tuset

Papers from Jing Li's perspective

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

Their papers

• Multimodal Transformer With Multi-View Visual Representation for Image Captioning (2019) — 450 citations