Marcus Chen

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Marcus Chen trusts overall

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

1. Xiaofei He
2. Hui Zou
3. Robert Tibshirani
4. Deng Cai
5. Feiping Nie
6. Trevor J. Hastie
7. Sam T. Roweis
8. Partha Niyogi
9. Isabelle M Guyon
10. Josh Tenenbaum

Who trusts Marcus Chen overall

1. Feng Xia

Papers from Marcus Chen's perspective

Ordered by how strongly the researchers Marcus Chen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data (2015) — 35 citations