Francisco Javier Ordonez

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #7,290 of 21,575 by trust here, #7,750 by citations
• Artificial Intelligence — 14 citations into it
• Signal Processing — 7 citations into it
• Biomedical Engineering — 5 citations into it; #1,501 of 10,734 by trust here, #3,551 by citations

Whom Francisco Javier Ordonez trusts overall

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

1. Honglak Lee
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Attila Reiss
5. Yann Dauphin
6. Alex Krizhevsky
7. Yann LeCun
8. Alex Graves
9. Aäron van den Oord
10. Christian Szegedy

Who trusts Francisco Javier Ordonez overall

1. Dhanesh Ramachandram
2. Dana Hughes
3. Ziqi Zhang
4. Florenc Demrozi
5. Mikel Canizo
6. Jindong Wang
7. Satya Prakash Singh
8. Shen Yan
9. Graham W. Taylor
10. Nikolaus Correll

Papers from Francisco Javier Ordonez's perspective

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

Their papers

• Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition (2016) — 2,615 citations