Emad Barsoum

Computer Vision and Pattern Recognition · with Zhang · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #14,909 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 14 citations into it
• Experimental and Cognitive Psychology — 11 citations into it; #4,792 of 9,731 by trust here, #6,168 by citations
• Signal Processing — 5 citations into it; #3,304 of 7,572 by trust here, #2,911 by citations

Whom Emad Barsoum trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Andrew Zisserman
4. Alex Krizhevsky
5. Zhiding Yu
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. X. Zhang
9. Dzmitry Bahdanau
10. Ilya Sutskever

Who trusts Emad Barsoum overall

1. Kai-Hong Wang
2. Shervin Minaee
3. Shan Li
4. Fuyan Ma
5. Octavio Arriaga
6. Ayanna M. Howard
7. Samuel Albanie
8. Robert Rietveld
9. Jingwen Hu
10. Xiaojiang Peng

Papers from Emad Barsoum's perspective

Ordered by how strongly the researchers Emad Barsoum 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Training deep networks for facial expression recognition with crowd-sourced label distribution (2016) — 869 citations
• Automatic speech emotion recognition using recurrent neural networks with local attention (2017) — 670 citations