Yue Dong

Computer Vision and Pattern Recognition · with Shi · 2016

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #18,725 of 21,575 by trust here, #15,529 by citations

Whom Yue Dong trusts overall

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

1. David Eigen
2. Sean Bell
3. Joerg Liebelt
4. Olaf Ronneberger
5. Rob Fergus
6. Michael Stark
7. Kaiming He
8. Cordelia Schmid
9. Daniel J. Butler
10. Geoffrey E. Hinton

Who trusts Yue Dong overall

1. Zhengqin Li
2. Zhengqi Li
3. Soumyadip Sengupta
4. Jiajun Wu
5. Yifan Wang
6. Michael Janner

Papers from Yue Dong's perspective

Ordered by how strongly the researchers Yue Dong 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories (2016) — 207 citations