Kaiwen Wang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Kaiwen Wang trusts overall

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

1. Matthew D. Zeiler
2. Karen Simonyan
3. Andrea Vedaldi

Papers from Kaiwen Wang's perspective

Ordered by how strongly the researchers Kaiwen Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Visualizing and Understanding Convolutional Networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations (2018) — 55 citations