Weixiang Hong

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 232 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #18,772 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 22 citations into it; #30,628 of 35,345 by trust here, #15,542 by citations

Whom Weixiang Hong trusts overall

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

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

Who trusts Weixiang Hong overall

1. Garrett Wilson
2. Yuxi Wang
3. Yuang Liu
4. Minghao Chen
5. Jiahua Dong
6. Tuan-Hung Vu
7. Shujun Wang
8. Xiangyu Yue
9. Diane Joyce Cook
10. Sergey I. Nikolenko

Papers from Weixiang Hong's perspective

Ordered by how strongly the researchers Weixiang Hong 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Conditional Generative Adversarial Network for Structured Domain Adaptation (2018) — 301 citations