Nan Pu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 191 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it
• Artificial Intelligence — 43 citations into it
• Meta & Continual Learning — 18 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Biomedical Engineering — 8 citations into it
• Efficiency & Compression — 6 citations into it
• Graph Learning — 6 citations into it

Whom Nan Pu trusts overall

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

1. Wei Li
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Ross B. Girshick
9. Max Welling
10. Thomas Kipf

Who trusts Nan Pu overall

1. Zhenyu Cui
2. Zhicheng Sun
3. Da-Wei Zhou
4. Jiahuan Zhou
5. Yadong Mu
6. Xun Wang
7. Qiwen Wang

Papers from Nan Pu's perspective

Ordered by how strongly the researchers Nan Pu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Memorizing and Generalizing Framework for Lifelong Person Re-Identification (2023) — 54 citations
• Lifelong Person Re-Identification via Adaptive Knowledge Accumulation (2021) — 121 citations