Jie Li

Computer Vision and Pattern Recognition · with Ambrus · 2021

A researcher in the Science corpus: 1 paper; trusts 135 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #18,735 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 5 citations into it

Whom Jie Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Tsung-Yi Lin
6. Shaoqing Ren
7. Yann LeCun
8. Yoshua Bengio
9. Diederik P. Kingma
10. David G. Lowe

Who trusts Jie Li overall

1. Guan Huang
2. Junjie Huang

Papers from Jie Li's perspective

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

Their papers

• Is Pseudo-Lidar needed for Monocular 3D Object detection? (2021) — 411 citations