Juan Aparicio Ojea

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Control and Systems Engineering — 35 citations into it; #4,174 of 8,257 by trust here, #549 by citations
• Computer Vision and Pattern Recognition — 32 citations into it
• Reinforcement Learning — 26 citations into it

Whom Juan Aparicio Ojea trusts overall

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

1. Sergey Levine
2. Alex Krizhevsky
3. Jan Peters
4. Geoffrey E. Hinton

Who trusts Juan Aparicio Ojea overall

1. Andy Zeng
2. Dieter Fox
3. Arsalan Mousavian
4. Ken Goldberg
5. Jeffrey Mahler

Papers from Juan Aparicio Ojea's perspective

Ordered by how strongly the researchers Juan Aparicio Ojea 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Histograms of oriented gradients for human detection
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Continuous control with deep reinforcement learning (International Conference on Learning Representations)

Their papers

• Residual Reinforcement Learning for Robot Control (2018) — 624 citations
• Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics (2017) — 1,418 citations