Yu-Ting Chang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yu-Ting Chang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Jia Deng
10. Ilya Sutskever

Who trusts Yu-Ting Chang overall

1. Fabio Cermelli
2. Lian Xu
3. Yi Li
4. Yazhou Yao
5. Dina Bashkirova

Papers from Yu-Ting Chang's perspective

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

Their papers

• Weakly-Supervised Semantic Segmentation via Sub-Category Exploration (2020) — 310 citations