Minsi Wang

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 358 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 34 citations into it
• Model Architectures — 13 citations into it

Whom Minsi Wang trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Ilya Sutskever
6. Sepp Hochreiter
7. Alex Graves
8. Yoshua Bengio
9. Kaiming He
10. Yann LeCun

Who trusts Minsi Wang overall

1. Yue Zheng
2. Yi Zhang

Papers from Minsi Wang's perspective

Ordered by how strongly the researchers Minsi 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Crowd Counting via Adversarial Cross-Scale Consistency Pursuit (2018) — 349 citations
• Recurrent Modeling of Interaction Context for Collective Activity Recognition (2017) — 158 citations