C. Malossi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom C. Malossi trusts overall

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

1. Alex Krizhevsky

Papers from C. Malossi's perspective

Ordered by how strongly the researchers C. Malossi 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: A large-scale hierarchical image database
3. Learning Multiple Layers of Features from Tiny Images
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Rethinking the Inception Architecture for Computer Vision
9. Densely Connected Convolutional Networks
10. Long Short-Term Memory

Their papers

• Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy (2018) — 53 citations