Ping Hu

Computer Vision and Pattern Recognition · with He · 2024

A researcher in the Science corpus: 1 paper; trusts 32 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 — 49 citations into it

Whom Ping Hu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Yoshua Bengio
5. Ilya Sutskever
6. Kaiming He
7. Diederik P. Kingma
8. Yann LeCun
9. Jeff Donahue
10. Rahaf Aljundi

Papers from Ping Hu's perspective

Ordered by how strongly the researchers Ping Hu 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters (2024) — 274 citations