Jian Wang

Computer Vision and Pattern Recognition · with Lin · 2017

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Signal Processing — 6 citations into it

Whom Jian Wang trusts overall

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

1. Geoffrey E. Hinton
2. Ruslan Salakhutdinov
3. L. V. D. van der Maaten
4. Alex Krizhevsky
5. Kihyuk Sohn
6. Christian Szegedy
7. Yann LeCun
8. Kaiming He
9. Yoshua Bengio
10. Jia Deng

Who trusts Jian Wang overall

1. Mahmut Kaya
2. Daniel Oñoro-Rubio
3. Tyler R. Scott
4. Xu Zhang
5. Chengzhi Mao
6. Sounak Dey
7. Lu Yu
8. H. Ş. Bilge
9. Andrew Zhai
10. Mathias Niepert

Papers from Jian Wang's perspective

Ordered by how strongly the researchers Jian 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Metric Learning with Angular Loss (2017) — 548 citations