Jinjian Wu

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Media Technology — 29 citations into it
• Artificial Intelligence — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Jinjian Wu trusts overall

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

1. A. Bovik
2. Alex Krizhevsky
3. Deepti Ghadiyaram
4. Kaiming He
5. Jongyoo Kim
6. Geoffrey E. Hinton
7. Wufeng Xue
8. Ilya Sutskever
9. Joaquin Vanschoren
10. Diederik P. Kingma

Papers from Jinjian Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment (2020) — 386 citations
• Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation (2016) — 499 citations