Hongtao Lu

Computer Vision and Pattern Recognition · with Zhang · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Artificial Intelligence — 20 citations into it
• Information Systems — 13 citations into it

Whom Hongtao Lu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He

Papers from Hongtao Lu's perspective

Ordered by how strongly the researchers Hongtao Lu 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation (2021) — 124 citations
• Generating Human Motion from Textual Descriptions with Discrete Representations (2023) — 716 citations