Hiroshi Ishikawa
Computer Vision and Pattern Recognition · 2003–2017
A researcher in the Science corpus: 5 papers; trusts 659 researchers and is trusted by 874 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 92 citations into it; #1,480 of 21,575 by trust here, #3,017 by citations
- Artificial Intelligence — 17 citations into it
- Computer Graphics and Computer-Aided Design — 15 citations into it
- Optimization & Training — 12 citations into it
- Generative Models — 11 citations into it; #1,399 of 1,956 by trust here, #1,435 by citations
- Media Technology — 11 citations into it; #210 of 3,621 by trust here, #204 by citations
- Model Architectures — 11 citations into it
- Computational Mechanics — 6 citations into it
Whom Hiroshi Ishikawa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Kolmogorov
- Stefan Roth
- Carsten Rother
- Peter Ladislaw Hammer
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Endre Boros
- Matthew D. Zeiler
- Kaiming He
Who trusts Hiroshi Ishikawa overall
- Vladimir Kolmogorov
- Antonin Chambolle
- Yuri Boykov
- Pushmeet Kohli
- Markus Unger
- Olga Veksler
- Francis R. Bach
- Philip H. S. Torr
- Thomas Pock
- Lubor Ladicky
Papers from Hiroshi Ishikawa's perspective
Ordered by how strongly the researchers Hiroshi Ishikawa trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Globally and locally consistent image completion (2017) — 2,208 citations
- Let there be color! (2016) — 508 citations
- Exact Optimization for Markov Random Fields with Convex Priors (2003) — 620 citations
- Higher-order clique reduction in binary graph cut (2009) — 171 citations
- Learning to simplify (2016) — 130 citations