Ronald Salloum

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #15,381 of 21,575 by trust here, #15,529 by citations
• Media Technology — 7 citations into it; #2,411 of 3,621 by trust here, #2,178 by citations
• Artificial Intelligence — 5 citations into it

Whom Ronald Salloum trusts overall

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

1. Hany Farid
2. Christian Szegedy
3. Karen Simonyan
4. Sergey Ioffe
5. Evan Shelhamer
6. David Eigen
7. Tiziano Bianchi
8. Andrew Zisserman
9. Yangqing Jia
10. Rob Fergus

Who trusts Ronald Salloum overall

1. Yue Wu
2. Minyoung Huh
3. Peng Zhou
4. Chengbo Dong
5. Xuefeng Hu
6. Luisa Verdoliva
7. Wael AbdAlmageed
8. Xintong Han
9. Andrew Liu
10. Davide Cozzolino

Papers from Ronald Salloum's perspective

Ordered by how strongly the researchers Ronald Salloum 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN) (2017) — 385 citations