Massoud Pedram

Computer Vision and Pattern Recognition · with Beerel · 2020

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 6 citations into it

Whom Massoud Pedram trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Andrew Zisserman
8. Yann LeCun
9. Sergey Ioffe
10. Yoshua Bengio

Papers from Massoud Pedram's perspective

Ordered by how strongly the researchers Massoud Pedram 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks (2020) — 37 citations