Silong Peng

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 371 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it; #14,428 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 54 citations into it
• Media Technology — 13 citations into it
• Optimization & Training — 12 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Silong Peng trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Tsung-Yi Lin
6. Shaoqing Ren
7. Jia Deng
8. Yann LeCun
9. Yoshua Bengio
10. Christian Szegedy

Who trusts Silong Peng overall

1. Xue Yang
2. Junchi Yan

Papers from Silong Peng's perspective

Ordered by how strongly the researchers Silong Peng 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Balanced Knowledge Distillation for Long-tailed Learning (2021) — 91 citations
• Learning Modulated Loss for Rotated Object Detection (2019) — 399 citations