Joseph C.E. Messou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 484 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 37 citations into it
• Representation & Self-Supervised Learning — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Joseph C.E. Messou trusts overall

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

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

Papers from Joseph C.E. Messou's perspective

Ordered by how strongly the researchers Joseph C.E. Messou 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition (2019) — 214 citations