Yicheng Liu
Computer Vision and Pattern Recognition · with Wang · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 227 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 54 citations into it
- Artificial Intelligence — 25 citations into it
- Automotive Engineering — 25 citations into it
- Computational Mechanics — 5 citations into it
Whom Yicheng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Charles Ruizhongtai Qi
- Ross B. Girshick
- Ilya Sutskever
- Ilya Loshchilov
- Yann LeCun
Who trusts Yicheng Liu overall
- Shaoyu Chen
- Pranav Singh Chib
- Bencheng Liao
- Zikang Zhou
- Zikang Zhou
- Bo Jiang
- Pravendra Singh
- Jianping Wang
- Yue Wang
Papers from Yicheng Liu's perspective
Ordered by how strongly the researchers Yicheng Liu 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Multimodal Motion Prediction with Stacked Transformers (2021) — 516 citations
- VectorMapNet: End-to-end Vectorized HD Map Learning (2022) — 360 citations