Cheng Ma
Computer Vision and Pattern Recognition · with Chen · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 343 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #16,919 of 21,575 by trust here, #8,296 by citations
- Media Technology — 21 citations into it
- Artificial Intelligence — 18 citations into it
- Generative Models — 13 citations into it
- Human-Computer Interaction — 11 citations into it; #1,568 of 2,253 by trust here, #450 by citations
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Cheng Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Raanan Fattal
Who trusts Cheng Ma overall
Papers from Cheng Ma's perspective
Ordered by how strongly the researchers Cheng Ma 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Multi-context Attention for Human Pose Estimation (2017) — 689 citations
- Structure-Preserving Super Resolution With Gradient Guidance (2020) — 388 citations