Dazhi Cheng
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 285 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 108 citations into it
- Artificial Intelligence — 77 citations into it
- Model Architectures — 32 citations into it
- Natural Language Processing — 13 citations into it
Whom Dazhi Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Shaoqing Ren
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
Who trusts Dazhi Cheng overall
Papers from Dazhi Cheng's perspective
Ordered by how strongly the researchers Dazhi Cheng 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)
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
- An Empirical Study of Spatial Attention Mechanisms in Deep Networks (2019) — 543 citations
- ExFuse: Enhancing Feature Fusion for Semantic Segmentation (2018) — 323 citations