Chen Lin
Computer Vision and Pattern Recognition · with Qiu · 2023
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it
Whom Chen Lin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Papers from Chen Lin's perspective
Ordered by how strongly the researchers Chen Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Microsoft COCO: Common Objects in Context
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Improving Language Understanding by Generative Pre-Training
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks