Yunjin Chen

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 6 papers; trusts 487 researchers and is trusted by 322 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 128 citations into it; #2,184 of 21,575 by trust here, #1,618 by citations
• Media Technology — 53 citations into it; #348 of 3,621 by trust here, #100 by citations
• Computational Mechanics — 44 citations into it; #3,746 of 10,001 by trust here, #4,937 by citations
• Artificial Intelligence — 29 citations into it
• Optimization & Training — 19 citations into it
• Biomedical Engineering — 17 citations into it
• Model Architectures — 14 citations into it
• Mathematical Physics — 12 citations into it; #3,543 of 8,562 by trust here, #3,181 by citations

Whom Yunjin Chen trusts overall

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

1. Stefan Roth
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Anat Levin
6. Alex Graves
7. Kaiming He
8. Justin Domke
9. Daniel Zoran
10. Alex Krizhevsky

Who trusts Yunjin Chen overall

1. Kai Zhang
2. Wangmeng Zuo
3. Chunwei Tian
4. Lei Zhang
5. Stamatios Lefkimmiatis
6. Martin Benning
7. Yulun Zhang
8. Woong Bae
9. Jong Chul Ye
10. Michael T. McCann

Papers from Yunjin Chen's perspective

Ordered by how strongly the researchers Yunjin 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: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (2016) — 8,505 citations
• Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration (2015) — 1,323 citations
• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
• On learning optimized reaction diffusion processes for effective image restoration (2015) — 335 citations
• iPiano: Inertial Proximal Algorithm for Nonconvex Optimization (2014) — 481 citations
• LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT (2017) — 408 citations