Chenfan Zhuang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Chenfan Zhuang trusts overall

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

1. Christian Szegedy
2. Sergey Ioffe
3. Kaiming He
4. Jianguo Zhang
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ross B. Girshick
8. Jia Deng
9. Karen Simonyan
10. Yoshua Bengio

Papers from Chenfan Zhuang's perspective

Ordered by how strongly the researchers Chenfan Zhuang 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. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images (2018) — 383 citations