Mayu Otani

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 216 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 43 citations into it
• Natural Language Processing — 21 citations into it
• Multimodal Learning — 20 citations into it
• Question Answering & Reading Comprehension — 19 citations into it

Whom Mayu Otani trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Sepp Hochreiter
8. Ross B. Girshick
9. Yann LeCun
10. Tomas Mikolov

Papers from Mayu Otani's perspective

Ordered by how strongly the researchers Mayu Otani 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• BERT Representations for Video Question Answering (2020) — 118 citations
• KnowIT VQA: Answering Knowledge-Based Questions about Videos (2019) — 97 citations