Joshua Bowdish

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Aerospace Engineering — 7 citations into it

Whom Joshua Bowdish trusts overall

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

1. Radford M. Neal
2. Derek Hoiem
3. Varsha Hedau
4. David C. Lee
5. Zhuowen Tu
6. Martial Hebert
7. Joerg Liebelt
8. Alexei A. Efros
9. Abhinav Kumar Gupta
10. D.A. Forsyth

Who trusts Joshua Bowdish overall

1. Scott Satkin
2. Tejas D. Kulkarni
3. Alexander Gerhard Schwing
4. Yibiao Zhao
5. M. Zia
6. Nilesh Kulkarni

Papers from Joshua Bowdish's perspective

Ordered by how strongly the researchers Joshua Bowdish 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
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

• Bayesian geometric modeling of indoor scenes (2012) — 138 citations
• Understanding Bayesian Rooms Using Composite 3D Object Models (2013) — 88 citations