Toki Migimatsu

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 3 papers; trusts 167 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Artificial Intelligence — 60 citations into it
• Reinforcement Learning — 18 citations into it
• LLM Agents & Tool Use — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Toki Migimatsu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Paroma Varma
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Papers from Toki Migimatsu's perspective

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

Their papers

• An Empirical Evaluation of Deep Learning on Highway Driving (2015) — 625 citations
• Grounding Predicates through Actions (2021) — 45 citations
• Text2Motion: from natural language instructions to feasible plans (2023) — 408 citations