Chaowei Fang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 292 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Computational Mechanics — 6 citations into it
• Media Technology — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Chaowei Fang trusts overall

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

1. Jitendra Malik
2. Pablo Arbeláez
3. Geoffrey E. Hinton
4. Stanley J. Osher
5. Jordi Pont-Tuset
6. Piotr Doll'ar
7. Alex Krizhevsky
8. Kaiming He
9. Jianbo Shi
10. Ross B. Girshick

Papers from Chaowei Fang's perspective

Ordered by how strongly the researchers Chaowei Fang 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. 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

• Piecewise Flat Embedding for Image Segmentation (2018) — 36 citations