Ming-Syan Chen

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 124 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 36 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Statistical and Nonlinear Physics — 18 citations into it

Whom Ming-Syan Chen trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Jeff Donahue
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Andrew Zisserman
8. Diederik P. Kingma
9. Yann LeCun
10. Li Fei-Fei

Papers from Ming-Syan Chen's perspective

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

Their papers

• Video Event Detection by Inferring Temporal Instance Labels (2014) — 133 citations
• Transfer Neural Trees for Heterogeneous Domain Adaptation (2016) — 93 citations
• When Social Influence Meets Item Inference (2015) — 30 citations