Mo Chen

Computer Vision and Pattern Recognition · with Fridrich · 2008–2019

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #8,411 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 14 citations into it
• Optimization & Training — 9 citations into it
• Model Architectures — 7 citations into it

Whom Mo Chen trusts overall

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

1. Alin C. Popescu
2. Jessica J. Fridrich
3. R. Golden
4. Hany Farid
5. Kaiming He
6. Vojtech Holub
7. Matthew D. Zeiler
8. Diederik P. Kingma
9. Yoshua Bengio
10. Mehdi Kharrazi

Who trusts Mo Chen overall

1. Alessandro Piva
2. Chang-Tsun Li
3. Luisa Verdoliva
4. Davide Cozzolino
5. Matthew Christopher Stamm
6. Gajanan K. Birajdar
7. Diego Gragnaniello
8. Judith Alice Redi
9. Jing Dong
10. Weihao Xia

Papers from Mo Chen's perspective

Ordered by how strongly the researchers Mo Chen 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. Gradient-based learning applied to document recognition
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Determining Image Origin and Integrity Using Sensor Noise (2008) — 923 citations
• Deep Residual Network for Steganalysis of Digital Images (2019) — 911 citations