Pengchong Jin

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 187 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it
• Artificial Intelligence — 62 citations into it
• Model Architectures — 31 citations into it
• Efficiency & Compression — 18 citations into it
• Optimization & Training — 16 citations into it

Whom Pengchong Jin trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Quoc V. Le
4. Barret Zoph
5. Alex Krizhevsky
6. Ross B. Girshick
7. Christian Szegedy
8. Karen Simonyan
9. Yoshua Bengio
10. Jia Deng

Who trusts Pengchong Jin overall

1. Houwen Peng

Papers from Pengchong Jin's perspective

Ordered by how strongly the researchers Pengchong Jin 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization (2019) — 184 citations
• BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models (2020) — 335 citations