Yuta Nakashima

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 513 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it
• Artificial Intelligence — 81 citations into it
• Natural Language Processing — 33 citations into it
• Multimodal Learning — 30 citations into it
• Question Answering & Reading Comprehension — 20 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Model Architectures — 10 citations into it

Whom Yuta Nakashima trusts overall

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

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

Papers from Yuta Nakashima's perspective

Ordered by how strongly the researchers Yuta Nakashima 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• BERT Representations for Video Question Answering (2020) — 118 citations
• KnowIT VQA: Answering Knowledge-Based Questions about Videos (2019) — 97 citations
• Quantifying Societal Bias Amplification in Image Captioning (2022) — 63 citations
• IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks (2019) — 302 citations