Chih-Yi Wu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Chih-Yi Wu trusts overall

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

1. Alex Krizhevsky
2. Andrew Zisserman
3. Karen Simonyan
4. Matthew D. Zeiler
5. Josef Sivic
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Ilya Sutskever

Papers from Chih-Yi Wu's perspective

Ordered by how strongly the researchers Chih-Yi Wu trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval (2017) — 98 citations