Jiwen Wu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 25 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jiwen Wu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Ross B. Girshick
6. Shaoqing Ren

Papers from Jiwen Wu's perspective

Ordered by how strongly the researchers Jiwen 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Microsoft COCO: Common Objects in Context
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition (2022) — 82 citations