Pingyang Dai

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,640 of 21,575 by trust here, #16,367 by citations
• Biomedical Engineering — 6 citations into it

Whom Pingyang Dai trusts overall

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

1. Shengcai Liao
2. Navneet Dalal
3. Individualized Treat
4. Martín Arjovsky
5. Phillip Isola
6. Geoffrey E. Hinton
7. Yuxin Peng
8. S. Li
9. Alex Krizhevsky
10. Kaiming He

Who trusts Pingyang Dai overall

1. Mang Ye
2. Guan'an Wang
3. Tianzhu Zhang
4. Diangang Li
5. Zhixiang Wang
6. Seokeon Choi
7. Yan Lu
8. Weijian Ruan
9. Xiangyuan Lan
10. Xing Wei

Papers from Pingyang Dai's perspective

Ordered by how strongly the researchers Pingyang Dai 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cross-Modality Person Re-Identification with Generative Adversarial Training (2018) — 459 citations