Chih-Hui Ho

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Chih-Hui Ho trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ruslan Salakhutdinov
5. Jia Deng
6. Yu-Xiong Wang
7. Yonatan Geifman
8. Ilya Sutskever
9. Karen Simonyan
10. Yoshua Bengio

Papers from Chih-Hui Ho's perspective

Ordered by how strongly the researchers Chih-Hui Ho 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier (2020) — 59 citations
• DocQIR-Emb: Document Image Retrieval with Multi-lingual Question Query