Weichong Yin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #20,557 of 21,575 by trust here, #7,657 by citations
• Artificial Intelligence — 29 citations into it; #33,692 of 35,345 by trust here, #10,942 by citations

Whom Weichong Yin trusts overall

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

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

Who trusts Weichong Yin overall

1. Ron Zhu
2. Bodhisattwa Prasad Majumder
3. Pengchuan Zhang
4. Ming Yan

Papers from Weichong Yin's perspective

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

Their papers

• ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph (2020) — 419 citations