Max Mignotte

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 2 papers; trusts 394 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 27 citations into it
• Media Technology — 22 citations into it
• Model Architectures — 11 citations into it
• Signal Processing — 5 citations into it

Whom Max Mignotte trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Yann LeCun
6. Karen Simonyan
7. Ilya Sutskever
8. Jitendra Malik
9. Andrew Zisserman
10. Ross B. Girshick

Papers from Max Mignotte's perspective

Ordered by how strongly the researchers Max Mignotte 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Particle Filter Framework for Contour Detection (2012) — 15 citations
• Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis (2020) — 350 citations