Bin Li

Computer Vision and Pattern Recognition · International Conference on Information Photonics · 2011–2020

A researcher in the Science corpus: 7 papers; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 105 citations into it; #16,885 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 23 citations into it
• Generative Models — 18 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Bin Li trusts overall

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

1. Jessica J. Fridrich
2. Tomás Pevný
3. Tomáš Filler
4. Niels Provos
5. Jan Kodovský
6. Phil Sallee
7. Vojtech Holub
8. Miroslav Goljan
9. Andrew D. Ker
10. Toby Sharp

Who trusts Bin Li overall

1. Kevin Alex Zhang
2. Songtao Wu
3. Mehdi Boroumand
4. Alfredo Cuesta-Infante
5. Ru Zhang
6. Weixuan Tang
7. Xin Liao
8. Sheng-Hua Zhong
9. Lei Xu
10. Mo Chen

Papers from Bin Li's perspective

Ordered by how strongly the researchers Bin Li 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Can Forensic Detectors Identify GAN Generated Images? (2018) — 23 citations
• A New Payload Partition Strategy in Color Image Steganography (2020) — 297 citations
• Automatic Steganographic Distortion Learning Using a Generative Adversarial Network (2017) — 361 citations
• A new cost function for spatial image steganography (2014) — 624 citations
• High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion (2013) — 491 citations
• General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013) — 439 citations
• A Survey on Image Steganography and Steganalysis (2011) — 492 citations