Bruno Avignon

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Bruno Avignon trusts overall

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

1. Karen Simonyan

Papers from Bruno Avignon's perspective

Ordered by how strongly the researchers Bruno Avignon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. SSD: Single Shot MultiBox Detector
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks (2020) — 311 citations