Shao-Yen Tseng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 12 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 — 27 citations into it

Whom Shao-Yen Tseng trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Zhicheng Huang
4. Alex Krizhevsky
5. Jacob Devlin
6. Yoshua Bengio
7. Tsung-Yi Lin
8. Diederik P. Kingma

Papers from Shao-Yen Tseng's perspective

Ordered by how strongly the researchers Shao-Yen Tseng 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Microsoft COCO: Common Objects in Context
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation (2021) — 33 citations