Yongcheng Liu
Computer Vision and Pattern Recognition · 2007–2019
A researcher in the Science corpus: 4 papers; trusts 304 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 91 citations into it
- Computational Mechanics — 60 citations into it; #9,905 of 10,001 by trust here, #3,029 by citations
- Geology — 40 citations into it; #682 of 687 by trust here, #300 by citations
- Artificial Intelligence — 36 citations into it
- Model Architectures — 24 citations into it
- Environmental Engineering — 18 citations into it
- Aerospace Engineering — 17 citations into it
Whom Yongcheng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Karen Simonyan
- Ilya Sutskever
- Yoshua Bengio
- Andrew Zisserman
- Ross B. Girshick
- Yann LeCun
- Diederik P. Kingma
Who trusts Yongcheng Liu overall
- Ankit Goyal
- Xu Ma
- Haozhe Xie
- Yongming Rao
- Shi Qiu
- Saifullahi Aminu Bello
- Xu Yan
- Qingyong Hu
- Yulan Guo
- Mutian Xu
Papers from Yongcheng Liu's perspective
Ordered by how strongly the researchers Yongcheng Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (2018) — 130 citations
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (2019) — 1,032 citations
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (2019) — 299 citations
- Search for Supernova Neutrino Bursts at Super-Kamiokande (2007) — 138 citations