Keyan Ding
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it
- Media Technology — 14 citations into it
- Artificial Intelligence — 7 citations into it
- Generative Models — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Keyan Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhou Wang
- Diederik P. Kingma
- Eero P. Simoncelli
- David G. Lowe
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
Who trusts Keyan Ding overall
- Jinjin Gu
- S. Alireza Golestaneh
- Weixia Zhang
- Tao Yang
- Zheng Chen
- Yulun Zhang
- Stephanie Fu
- Chaofeng Chen
- Bin Xia
- Saba Dadsetan
Papers from Keyan Ding's perspective
Ordered by how strongly the researchers Keyan Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Image Quality Assessment: Unifying Structure and Texture Similarity (2020) — 1,428 citations