Chee-Ming Ting

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 14 citations into it

Whom Chee-Ming Ting trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Chien-Yao Wang
6. Tsung-Yi Lin
7. Piotr Doll'ar
8. Yann LeCun
9. Karen Simonyan
10. Yoshua Bengio

Papers from Chee-Ming Ting's perspective

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

Their papers

• ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation (2023) — 445 citations