Sho Inaba

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Sho Inaba trusts overall

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

1. Navneet Dalal
2. Pedro F. Felzenszwalb
3. Mohammad Amin Sadeghi
4. Ross B. Girshick
5. Antonio Torralba
6. Li-Jia Li
7. Li Fei-Fei

Papers from Sho Inaba's perspective

Ordered by how strongly the researchers Sho Inaba trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet Large Scale Visual Recognition Challenge
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Histograms of oriented gradients for human detection
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Object Detection with Discriminatively Trained Part Based Models
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Hard negative classes for multiple object detection (2014) — 3 citations