Songfang Han

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Computational Mechanics — 10 citations into it
• Aerospace Engineering — 9 citations into it
• 3D Vision & Pose — 8 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Songfang Han trusts overall

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

1. Kaiming He
2. Yasutaka Furukawa
3. Haoqiang Fan
4. X. Zhang
5. Hao Su
6. Lequan Yu
7. Geoffrey E. Hinton
8. Shaoqing Ren
9. Henrik Aanæs
10. Yao Yao

Who trusts Songfang Han overall

1. Jiayu Yang
2. Xingyu Liu
3. Fangjinhua Wang

Papers from Songfang Han's perspective

Ordered by how strongly the researchers Songfang Han 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Point-Based Multi-View Stereo Network (2019) — 409 citations