Wenbo Li

Computer Vision and Pattern Recognition · with Gu · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 10 citations into it

Whom Wenbo Li trusts overall

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

1. Joseph Redmon
2. Kaiming He

Papers from Wenbo Li's perspective

Ordered by how strongly the researchers Wenbo 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification (2020) — 66 citations