Min Wang

Computer Vision and Pattern Recognition · with Jiao · 2019

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Sensory Systems — 12 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Min Wang trusts overall

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

1. Jianming Zhang
2. Radhakrishna Achanta
3. Xiaodi Hou
4. Ming-Ming Cheng
5. Kaiming He
6. Laurent Itti
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Qiong Yan
10. Ross B. Girshick

Papers from Min Wang's perspective

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

Their papers

• New Contour Cue-Based Hybrid Sparse Learning for Salient Object Detection (2019) — 15 citations