Kohei Watanabe
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 356 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 54 citations into it; #15,999 of 21,575 by trust here, #14,822 by citations
- Artificial Intelligence — 42 citations into it; #6,173 of 35,345 by trust here, #5,834 by citations
- Model Architectures — 13 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Optimization & Training — 6 citations into it
Whom Kohei Watanabe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
- Karen Simonyan
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Andrew Zisserman
Who trusts Kohei Watanabe overall
- Jonathan Munro
- Jian Liang
- Xingchao Peng
- Kuniaki Saito
- Hui Tang
- Chaoqi Chen
- Yifan Zhang
- Mingsheng Long
- Garrett Wilson
- Shuaicheng Niu
Papers from Kohei Watanabe's perspective
Ordered by how strongly the researchers Kohei Watanabe 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2017) — 2,008 citations
- quanteda: An R package for the quantitative analysis of textual data (2018) — 1,128 citations
- MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes (2017) — 668 citations