Michael Lam

Computer Vision and Pattern Recognition · with Mahasseni · 2017

A researcher in the Science corpus: 1 paper; trusts 135 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #13,517 of 21,575 by trust here, #16,787 by citations
• Generative Models — 10 citations into it
• Artificial Intelligence — 6 citations into it

Whom Michael Lam trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yann LeCun
4. Sepp Hochreiter
5. Max Welling
6. Alex Krizhevsky
7. Yoshua Bengio
8. Christian Szegedy
9. Nitish Srivastava
10. Kaiming He

Who trusts Michael Lam overall

1. Kaiyang Zhou
2. Medhini Narasimhan
3. Zhong Ji
4. Ayush Jaiswal
5. Chandrashekhar Lavania
6. Evlampios Apostolidis

Papers from Michael Lam's perspective

Ordered by how strongly the researchers Michael Lam 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Unsupervised Video Summarization with Adversarial LSTM Networks (2017) — 569 citations