Haofan Wang

Computer Vision and Pattern Recognition · with Ding · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Safety, Robustness & Interpretability — 17 citations into it

Whom Haofan Wang trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Andrea Vedaldi
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Haofan Wang overall

1. Tawsifur Rahman
2. Yitao Peng
3. Peng-Tao Jiang
4. Muhammad Enamul Hoque Chowdhury
5. Xuhong Li
6. Amith Abdullah Khandakar

Papers from Haofan Wang's perspective

Ordered by how strongly the researchers Haofan Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks (2019) — 1,511 citations