Xin Deng

Computer Vision and Pattern Recognition · with Guan · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 482 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #10,014 of 21,575 by trust here, #16,367 by citations
• Media Technology — 19 citations into it
• Generative Models — 9 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Xin Deng trusts overall

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

1. Jiwon Kim
2. Kaiming He
3. Diederik P. Kingma
4. Radu Timofte
5. Karen Simonyan
6. Geoffrey E. Hinton
7. Jianchao Yang
8. Alex Krizhevsky
9. Zhou Wang
10. Leon A. Gatys

Who trusts Xin Deng overall

1. Subeesh Vasu
2. Yochai Blau
3. Thekke Madam Nimisha
4. Rajagopalan Ambasamudram Narayanan
5. Tomer Michaeli

Papers from Xin Deng's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• HiNet: Deep Image Hiding by Invertible Network (2021) — 326 citations
• Enhancing Image Quality via Style Transfer for Single Image Super-Resolution (2018) — 50 citations
• Reducing Complexity of HEVC: A Deep Learning Approach (2017) — 303 citations