Jia-jia Jiang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom Jia-jia Jiang trusts overall

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

1. Joseph Redmon
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ali Farhadi

Papers from Jia-jia Jiang's perspective

Ordered by how strongly the researchers Jia-jia Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network (2020) — 511 citations