Hanbin Luo

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it

Whom Hanbin Luo trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. J. Urgen Schmidhuber
5. Kaiming He

Papers from Hanbin Luo's perspective

Ordered by how strongly the researchers Hanbin Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Computer vision for behaviour-based safety in construction: A review and future directions (2020) — 297 citations
• Falls from heights: A computer vision-based approach for safety harness detection (2018) — 405 citations
• A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory (2018) — 435 citations
• Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach (2018) — 323 citations
• A multi-attribute model for construction site layout using intuitionistic fuzzy logic (2016) — 48 citations