Jure Skvarc

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jure Skvarc trusts overall

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

1. François Chollet
2. Alex Krizhevsky
3. Evan Shelhamer
4. Geoffrey E. Hinton

Papers from Jure Skvarc's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Fully convolutional networks for semantic segmentation
6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Segmentation-based deep-learning approach for surface-defect detection (2019) — 909 citations