Pierre de Tournemire

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 23 citations into it
• Electrical and Electronic Engineering — 20 citations into it
• Model Architectures — 7 citations into it

Whom Pierre de Tournemire trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Paul J. Werbos
6. Tsung-Yi Lin
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Alex Zihao Zhu

Papers from Pierre de Tournemire's perspective

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

Their papers

• An Artificial Agent for Robust Image Registration (2016) — 207 citations
• Learning to Detect Objects with a 1 Megapixel Event Camera (2020) — 351 citations