Oiwi Parker Jones

Computer Vision and Pattern Recognition · 2008–2020

A researcher in the Science corpus: 5 papers; trusts 214 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #14,438 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 38 citations into it
• Generative Models — 17 citations into it
• Model Architectures — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it; #2,301 of 3,145 by trust here, #2,178 by citations
• Aerospace Engineering — 6 citations into it
• Reinforcement Learning — 6 citations into it

Whom Oiwi Parker Jones trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Danilo Jimenez Rezende
4. J. Urgen Schmidhuber
5. David G. Lowe
6. Yoshua Bengio
7. Alex Krizhevsky
8. Sepp Hochreiter
9. Christian Szegedy
10. Kaiming He

Who trusts Oiwi Parker Jones overall

1. Jindong Jiang
2. Klaus Greff

Papers from Oiwi Parker Jones's perspective

Ordered by how strongly the researchers Oiwi Parker Jones 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations (2019) — 343 citations
• Indigenous Protocol and Artificial Intelligence Position Paper (2020) — 104 citations
• End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning (2019) — 16 citations
• Task-free MRI Predicts Individual Differences in Brain Activity During Task Performance (2016) — 741 citations
• A Computational Approach (2008) — 93 citations