Han Guo

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 236 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 55 citations into it
• Multimodal Learning — 41 citations into it
• Natural Language Processing — 34 citations into it
• Large Language Models — 15 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Medical Imaging — 5 citations into it

Whom Han Guo trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Jimmy Ba
8. Richard Socher
9. Yann LeCun
10. Ross B. Girshick

Who trusts Han Guo overall

1. Roberto Gozalo-Brizuela

Papers from Han Guo's perspective

Ordered by how strongly the researchers Han Guo 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning (2021) — 299 citations