Jing Dong

Computer Vision and Pattern Recognition · with Tan · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #14,632 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 5 citations into it
• Model Architectures — 5 citations into it

Whom Jing Dong trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Mo Chen
4. Jessica J. Fridrich
5. Yann LeCun
6. Ilya Sutskever
7. Radford M. Neal
8. Yoshua Bengio
9. Vojtech Holub
10. L. Eon Bottou

Who trusts Jing Dong overall

1. Luisa Verdoliva
2. Peng Zhou
3. Duc-Tien Dang-Nguyen
4. Xuefeng Hu
5. Davide Cozzolino
6. Xintong Han
7. Songtao Wu
8. Jian Ye
9. Cecilia Pasquini
10. Ru Zhang

Papers from Jing Dong's perspective

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

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

Their papers

• CASIA Image Tampering Detection Evaluation Database (2013) — 804 citations
• Deep learning for steganalysis via convolutional neural networks (2015) — 544 citations