Zhicheng Liu
Computer Vision and Pattern Recognition · with Zhang · 2020
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it
- Artificial Intelligence — 32 citations into it
Whom Zhicheng Liu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Quoc V. Le (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Papers from Zhicheng Liu's perspective
Ordered by how strongly the researchers Zhicheng Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- DARTS: Differentiable Architecture Search
- AutoAugment: Learning Augmentation Policies from Data
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
Their papers
- VEGA: Towards an End-to-End Configurable AutoML Pipeline (2020) — 12 citations