Wei Wang

Computer Vision and Pattern Recognition · with Ricci · 2018

A researcher in the Science corpus: 2 papers; trusts 251 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it; #16,324 of 21,575 by trust here, #13,542 by citations
• Generative Models — 19 citations into it
• Artificial Intelligence — 16 citations into it
• Experimental and Cognitive Psychology — 5 citations into it

Whom Wei Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Tadas Baltrusaitis
7. Yann LeCun
8. Ross B. Girshick
9. Tim Salimans
10. Ilya Sutskever

Who trusts Wei Wang overall

1. Aliaksandr Siarohin
2. Michele Merler
3. Ibraheem Alhashim
4. Stéphane Lathuilière
5. Sergey Tulyakov
6. Shariq Farooq Bhat
7. Peter Wonka

Papers from Wei Wang's perspective

Ordered by how strongly the researchers Wei Wang 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation (2018) — 321 citations
• Every Smile is Unique: Landmark-Guided Diverse Smile Generation (2018) — 71 citations