Hang Jiang
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 120 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 40 citations into it; #21,079 of 21,575 by trust here, #7,499 by citations
- Artificial Intelligence — 34 citations into it; #34,639 of 35,345 by trust here, #10,667 by citations
- Representation & Self-Supervised Learning — 18 citations into it; #3,076 of 3,145 by trust here, #1,415 by citations
Whom Hang Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
Who trusts Hang Jiang overall
Papers from Hang Jiang's perspective
Ordered by how strongly the researchers Hang Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Contrastive Learning of Medical Visual Representations from Paired Images and Text (2020) — 1,105 citations