Kamaledin Ghiasi-Shirazi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 186 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #5,560 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 13 citations into it; #8,198 of 35,345 by trust here, #31,361 by citations
• Model Architectures — 13 citations into it
• Optimization & Training — 13 citations into it

Whom Kamaledin Ghiasi-Shirazi trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Kaiming He
4. Sergey Ioffe
5. Xavier Glorot
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Christian Szegedy
9. Dmytro Mishkin
10. Yangqing Jia

Who trusts Kamaledin Ghiasi-Shirazi overall

1. Oscar Li
2. Chaofan CHEN
3. Meike Nauta
4. Alina Jade Barnett
5. Sascha Saralajew
6. Cynthia Rudin
7. Chaofan Tao
8. Ron van Bree
9. Lars Holdijk
10. Jonathan Su

Papers from Kamaledin Ghiasi-Shirazi's perspective

Ordered by how strongly the researchers Kamaledin Ghiasi-Shirazi 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
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

• Efficient implementation of a generalized convolutional neural networks based on weighted euclidean distance (2017) — 15 citations
• Generalizing the Convolution Operator in Convolutional Neural Networks (2017) — 43 citations