Peng Wu

Computer Vision and Pattern Recognition · with He · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 146 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 35 citations into it
• Model Architectures — 6 citations into it

Whom Peng Wu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. João Carreira
6. Ross B. Girshick
7. Alex Krizhevsky
8. Yoshua Bengio
9. Yann LeCun
10. Karen Simonyan

Who trusts Peng Wu overall

1. Sijie Li
2. Tsu-Jui Fu
3. Yu Tian
4. Licheng Jiao

Papers from Peng Wu's perspective

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

Their papers

• HANet: Hierarchical Alignment Networks for Video-Text Retrieval (2021) — 76 citations
• Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision (2020) — 543 citations