Jiekang Feng

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 43 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Jiekang Feng trusts overall

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

1. Kaiming He
2. Jianguo Zhang
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Arthur Douillard
7. X. Zhang
8. Yoshua Bengio
9. Yann LeCun
10. Shaoqing Ren

Papers from Jiekang Feng's perspective

Ordered by how strongly the researchers Jiekang Feng 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Endpoints Weight Fusion for Class Incremental Semantic Segmentation (2023) — 77 citations