Jen-Hao Rick Chang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Computational Mechanics — 14 citations into it
• Optimization & Training — 7 citations into it
• Artificial Intelligence — 5 citations into it
• Signal Processing — 5 citations into it

Whom Jen-Hao Rick Chang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ali Mousavi
4. Diederik P. Kingma
5. X. Zhang
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yann LeCun
9. Shaoqing Ren
10. Ross B. Girshick

Who trusts Jen-Hao Rick Chang overall

1. Jian Zhang
2. Christopher A. Metzler
3. Hemant Kumar Aggarwal
4. Shady Abu Hussein
5. Bahjat Kawar
6. Alice Lucas
7. Harshit Gupta
8. Victor Cornillère
9. Bernard Ghanem
10. Giannis Daras

Papers from Jen-Hao Rick Chang's perspective

Ordered by how strongly the researchers Jen-Hao Rick Chang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models (2017) — 359 citations