Bin Luo

Computer Vision and Pattern Recognition · with Tang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Graph Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Bin Luo trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio

Papers from Bin Luo's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Understanding the difficulty of training deep feedforward neural networks

Their papers

• LasHeR: A Large-Scale High-Diversity Benchmark for RGBT Tracking (2021) — 319 citations
• Semi-Supervised Learning With Graph Learning-Convolutional Networks (2019) — 452 citations