Biao Li

Artificial Intelligence · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Safety, Robustness & Interpretability — 14 citations into it

Whom Biao Li trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Ross B. Girshick
6. Andrew Zisserman
7. Grgoire Montavon

Papers from Biao Li's perspective

Ordered by how strongly the researchers Biao Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Visualizing and Understanding Convolutional Networks

Their papers

• Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs (2020) — 376 citations