Dylan Turpin

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Control and Systems Engineering — 30 citations into it
• Robotics & Control — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Biomedical Engineering — 8 citations into it

Whom Dylan Turpin trusts overall

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

1. Diederik P. Kingma
2. Igor Mordatch
3. Andrew L. Maas
4. Zijun Zhang
5. Peter K. Allen
6. Dimitrios Tzionas
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Andrew T. Miller
10. Ross B. Girshick

Papers from Dylan Turpin's perspective

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

Their papers

• Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands (2022) — 106 citations