F. Saleh

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 528 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 124 citations into it; #12,532 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 50 citations into it; #28,512 of 35,345 by trust here, #25,040 by citations
• Model Architectures — 10 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Biomedical Engineering — 8 citations into it
• Media Technology — 7 citations into it

Whom F. Saleh trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Alex Krizhevsky
6. Andrew Zisserman
7. Yann LeCun
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts F. Saleh overall

1. Sergey I. Nikolenko
2. Luke Melas-Kyriazi
3. Antonino Furnari
4. Yassine Ouali
5. Sungha Choi
6. Arjun K. Manrai
7. Deng-Ping Fan
8. Giovanni Maria Farinella
9. Céline Hudelot
10. Yazan Abu Farha

Papers from F. Saleh's perspective

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

Their papers

• Encouraging LSTMs to Anticipate Actions Very Early (2017) — 181 citations
• Effective Use of Synthetic Data for Urban Scene Semantic Segmentation (2018) — 164 citations
• UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders (2020) — 377 citations