Ding Ding

Computer Vision and Pattern Recognition · with Ram · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Generative Models — 6 citations into it

Whom Ding Ding trusts overall

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

1. Jianhong Shen
2. Marcelo Bertalmío
3. Antonio Criminisi
4. Dmitry Ulyanov
5. A. Buades
6. Jia-Bin Huang
7. Tony F. Chan
8. Chao Yang
9. Kaiming He
10. Andrea Vedaldi

Papers from Ding Ding's perspective

Ordered by how strongly the researchers Ding Ding 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Image Inpainting Using Nonlocal Texture Matching and Nonlinear Filtering (2019) — 155 citations