Jingyu Ji

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jingyu Ji trusts overall

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

1. Chao Dong

Papers from Jingyu Ji's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Learning a Deep Convolutional Network for Image Super-Resolution
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network (2017) — 307 citations