Feng-Ju Chang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it

Whom Feng-Ju Chang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Karen Simonyan
5. Diederik P. Kingma
6. Yoshua Bengio
7. Andrew Zisserman
8. Ilya Sutskever
9. Kaiming He
10. Ronald J. Williams

Papers from Feng-Ju Chang's perspective

Ordered by how strongly the researchers Feng-Ju Chang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding (2021) — 10 citations
• Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild (2019) — 102 citations