Ming-Fang Chang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it

Whom Ming-Fang Chang trusts overall

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

1. Alex Graves
2. Kaiming He
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Nicholas Rhinehart
6. Ross B. Girshick
7. Alex Krizhevsky
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Ming-Fang Chang overall

1. Yicheng Liu
2. Brady Zhou
3. Thomas Roddick
4. Hang Zhao
5. Christos Sakaridis
6. Junru Gu
7. Rui Qian
8. Zikang Zhou
9. Chen Sun
10. Zikang Zhou

Papers from Ming-Fang Chang's perspective

Ordered by how strongly the researchers Ming-Fang 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Argoverse: 3D Tracking and Forecasting With Rich Maps (2019) — 1,640 citations