Mohsen Zand

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 11 citations into it
• Media Technology — 7 citations into it

Whom Mohsen Zand trusts overall

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

1. Radford M. Neal
2. Yee Whye Teh
3. Pedro F. Felzenszwalb
4. Andrea Vedaldi
5. Jamie Shotton
6. Geoffrey E. Hinton
7. Dorin Comaniciu
8. Alex Krizhevsky
9. João Carreira
10. Kaiming He

Papers from Mohsen Zand's perspective

Ordered by how strongly the researchers Mohsen Zand 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs (2016) — 31 citations