Fung Fung Ting

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 23 citations into it

Whom Fung Fung 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. Yoshua Bengio
7. Ilya Sutskever
8. Tsung-Yi Lin
9. Piotr Doll'ar
10. Yann LeCun

Who trusts Fung Fung Ting overall

1. Abeer Saber
2. Mohamed Sakr

Papers from Fung Fung Ting's perspective

Ordered by how strongly the researchers Fung Fung Ting 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Long Short-Term Memory

Their papers

• ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation (2023) — 445 citations
• Convolutional neural network improvement for breast cancer classification (2019) — 376 citations