Jean Honorio

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #7,839 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 17 citations into it
• Statistics and Probability — 9 citations into it
• Computational Mechanics — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Jean Honorio trusts overall

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

1. Robert Tibshirani
2. Nicolai Meinshausen
3. Ming Yuan
4. Mark W. Schmidt
5. Tony Jebara
6. Bernhard Schölkopf
7. Pedro F. Felzenszwalb
8. Jerome H. Friedman
9. Peter Buhlmann
10. Yi Lin

Who trusts Jean Honorio overall

1. Yu Zhang
2. Diane Oyen
3. Jun Liu
4. Qiang Yang
5. Gaël Varoquaux
6. Qiuhong Ke
7. De-An Huang
8. Cuiling Lan
9. Terran Lane
10. Pengfei Zhang

Papers from Jean Honorio's perspective

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

Their papers

• Two-person interaction detection using body-pose features and multiple instance learning (2012) — 540 citations
• Multi-Task Learning of Gaussian Graphical Models (2010) — 70 citations
• Sparse and Locally Constant Gaussian Graphical Models (2009) — 28 citations