Eric Hayman

Computer Vision and Pattern Recognition · 2004–2010

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 189 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #2,681 of 21,575 by trust here, #7,499 by citations

Whom Eric Hayman trusts overall

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

1. Thomas K. Leung
2. Manik Varma
3. Andrew Zisserman
4. Kristin J. Dana
5. Jitendra Malik
6. Kwang In Kim
7. Nello Cristianini
8. Vladimir Naumovich Vapnik
9. Shai Avidan
10. David G. Lowe

Who trusts Eric Hayman overall

1. Mircea Cimpoi
2. Li Liu
3. Subhransu Maji
4. Tsung-Yu Lin
5. Gaurav Sharma
6. Kristen Grauman
7. Manik Varma
8. Barbara Caputo
9. Joan Bruna
10. Xianbiao Qi

Papers from Eric Hayman's perspective

Ordered by how strongly the researchers Eric Hayman 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• On the Significance of Real-World Conditions for Material Classification (2004) — 401 citations
• Class-specific material categorisation (2005) — 343 citations
• Classifying materials in the real world (2010) — 109 citations