Chongyan Chen

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 120 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 24 citations into it
• Multimodal Learning — 17 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Chongyan Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Danna Gurari
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yuke Zhu
8. Drew A. Hudson
9. Hao Hao Tan
10. Ross B. Girshick

Who trusts Chongyan Chen overall

1. Jiasen Lu
2. Ahmad Darkhalil
3. Christopher Clark

Papers from Chongyan Chen's perspective

Ordered by how strongly the researchers Chongyan Chen 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Grounding Answers for Visual Questions Asked by Visually Impaired People (2022) — 67 citations
• Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning (2021) — 48 citations