Gen Li

Computer Vision and Pattern Recognition · with Duan · 2019

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #3,661 of 21,575 by trust here, #3,909 by citations
• Artificial Intelligence — 28 citations into it; #6,624 of 35,345 by trust here, #5,221 by citations
• Multimodal Learning — 22 citations into it; #259 of 1,211 by trust here, #347 by citations
• Natural Language Processing — 18 citations into it

Whom Gen Li trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ross B. Girshick
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Gen Li overall

1. Zhe Gan
2. Linjie Li
3. Yen-Chun Chen
4. Pengchuan Zhang
5. Xiaowei Hu
6. Jianfeng Wang
7. Jiasen Lu
8. Ronghang Hu
9. Zhicheng Huang
10. Amanpreet Singh

Papers from Gen Li's perspective

Ordered by how strongly the researchers Gen Li 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training (2019) — 975 citations