Jianan Wu

Computer Vision and Pattern Recognition · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 158 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 — 38 citations into it

Whom Jianan Wu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Shaoqing Ren
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Karen Simonyan
10. Ilya Sutskever

Papers from Jianan Wu's perspective

Ordered by how strongly the researchers Jianan 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. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet: A large-scale hierarchical image database
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection (2021) — 314 citations