Murphy Stein

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #7,748 of 21,575 by trust here, #7,027 by citations

Whom Murphy Stein trusts overall

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

1. Yann LeCun
2. Cem Keskin
3. L. Eon Bottou
4. Luca Ballan

Who trusts Murphy Stein overall

1. Markus Oberweger
2. Gyeongsik Moon
3. Xiao Sun
4. Christiane Zimmermann
5. Liuhao Ge
6. Natalia Neverova
7. Paul Wohlhart
8. Qianru Ye
9. Tanner Schmidt
10. Arjun Jain

Papers from Murphy Stein's perspective

Ordered by how strongly the researchers Murphy Stein trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks (2014) — 824 citations
• The impact of individual, competitive, and collaborative mathematics game play on learning, performance, and motivation (2013) — 266 citations