Feng Zheng

Computer Vision and Pattern Recognition · with Deng · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 146 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #18,979 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 19 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Feng Zheng trusts overall

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

1. Liang Zheng
2. Xiatian Zhu
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Feng Zheng overall

1. Michael Crawshaw
2. Mang Ye
3. Kuan Zhu
4. Jianbing Shen

Papers from Feng Zheng's perspective

Ordered by how strongly the researchers Feng Zheng 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training (2018) — 392 citations
• Deep Spectral Clustering Using Dual Autoencoder Network (2019) — 288 citations