Yuan-Ting Hu

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 793 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 158 citations into it; #8,472 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 55 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Model Architectures — 21 citations into it
• Optimization & Training — 14 citations into it
• Aerospace Engineering — 9 citations into it

Whom Yuan-Ting Hu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Jitendra Malik
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Yann LeCun
8. Yoshua Bengio
9. David G. Lowe
10. Karen Simonyan

Who trusts Yuan-Ting Hu overall

1. Paul Voigtlaender
2. Wenguan Wang
3. Ho Kei Cheng
4. Zongxin Yang
5. Yunchao Wei
6. Yu-Wing Tai
7. Seoung Wug Oh
8. Xiaolin Zhang
9. Chung-Ching Lin
10. Joakim Johnander

Papers from Yuan-Ting Hu's perspective

Ordered by how strongly the researchers Yuan-Ting Hu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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

• VideoMatch: Matching based Video Object Segmentation (2018) — 296 citations
• Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles (2023) — 437 citations
• SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation – A Synthetic Dataset and Baselines (2019) — 108 citations