Annamaria Conte

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 21 citations into it

Whom Annamaria Conte trusts overall

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

1. Kaiming He

Papers from Annamaria Conte's perspective

Ordered by how strongly the researchers Annamaria Conte 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. Going deeper with convolutions
4. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Understanding the difficulty of training deep feedforward neural networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The color out of space: learning self-supervised representations for Earth Observation imagery (2020) — 65 citations
• Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs (2019) — 14 citations