Masato Tamura

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 10 citations into it
• Model Architectures — 5 citations into it

Whom Masato Tamura trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Georgia Gkioxari
7. Ashish Vaswani
8. Jitendra Malik
9. Ilya Loshchilov
10. Piotr Doll'ar

Papers from Masato Tamura's perspective

Ordered by how strongly the researchers Masato Tamura 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. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information (2021) — 297 citations