Yi Ren

Computer Vision and Pattern Recognition · with Ben · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Experimental and Cognitive Psychology — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Yi Ren trusts overall

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

1. Wen-Jing Yan
2. Xiaobai Li
3. Chih-Jen Lin
4. Kaiming He
5. Paul Ekman
6. Tomas Pfister
7. Shaoqing Ren
8. David Cristinacce
9. Yong-jin Liu
10. Senya Polikovsky

Papers from Yi Ren's perspective

Ordered by how strongly the researchers Yi Ren 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. Long Short-Term Memory
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. LIBSVM: A library for support vector machines
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021) — 325 citations