Seyed Mehdi Iranmanesh

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 225 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 44 citations into it; #14,283 of 35,345 by trust here, #13,544 by citations
• Representation & Self-Supervised Learning — 24 citations into it; #1,554 of 3,145 by trust here, #1,722 by citations
• Generative Models — 10 citations into it

Whom Seyed Mehdi Iranmanesh trusts overall

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

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

Who trusts Seyed Mehdi Iranmanesh overall

1. Mohammad Rostami
2. Nanqing Dong
3. Han-Jia Ye
4. Eric P. Xing
5. Chenhui Chu

Papers from Seyed Mehdi Iranmanesh's perspective

Ordered by how strongly the researchers Seyed Mehdi Iranmanesh 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Few-Shot Adversarial Domain Adaptation (2017) — 435 citations