Bertrand Delezoide

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 43 citations into it
• Meta & Continual Learning — 27 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Model Architectures — 5 citations into it

Whom Bertrand Delezoide trusts overall

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

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

Papers from Bertrand Delezoide's perspective

Ordered by how strongly the researchers Bertrand Delezoide 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning (2022) — 201 citations
• Learning Prototypes for Visual Relationship Detection (2018) — 7 citations