Boxun Li

Computer Vision and Pattern Recognition · with Wang · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it

Whom Boxun Li trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Yann LeCun
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Shaoqing Ren
8. X. Zhang
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Boxun Li's perspective

Ordered by how strongly the researchers Boxun 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. Gradient-based learning applied to document recognition
4. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Going Deeper with Embedded FPGA Platform for Convolutional Neural Network (2016) — 1,200 citations
• Towards Real-Time Object Detection on Embedded Systems (2018) — 85 citations